CRAN Package Check Results for Maintainer ‘Adela Hladka <hladka at cs.cas.cz>’

Last updated on 2025-11-15 03:50:53 CET.

Package	ERROR	OK
difNLR	3	10

Package difNLR

Current CRAN status: ERROR: 3, OK: 10

Additional issues

ATLAS MKL noLD

Version: 1.5.1-4
Check: tests
Result: ERROR Running ‘testthat.R’ [173s/198s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(difNLR) > > test_check("difNLR") Saving _problems/test-difNLR-14.R Saving _problems/test-difNLR-27.R Saving _problems/test-difNLR-30.R Saving _problems/test-difNLR-33.R Saving _problems/test-difNLR-67.R Saving _problems/test-difNLR-74.R Saving _problems/test-difNLR-82.R Saving _problems/test-difNLR-90.R Saving _problems/test-difNLR-98.R Saving _problems/test-difNLR-105.R Saving _problems/test-difNLR-112.R Saving _problems/test-difNLR-118.R Saving _problems/test-difNLR-125.R Saving _problems/test-difNLR-134.R Saving _problems/test-difNLR-142.R Saving _problems/test-difNLR-377.R Saving _problems/test-difNLR-512.R Saving _problems/test-difNLR-512.R Saving _problems/test-difNLR-517.R $Item6H_6 Saving _problems/test-difNLR-624.R Saving _problems/test-difNLR-627.R Saving _problems/test-difNLR-630.R Saving _problems/test-difNLR-631.R Saving _problems/test-difNLR-632.R Saving _problems/test-difNLR-635.R Saving _problems/test-difNLR-636.R Saving _problems/test-difNLR-638.R Saving _problems/test-difNLR-639.R Saving _problems/test-difNLR-641.R Saving _problems/test-difNLR-642.R Saving _problems/test-difNLR-644.R Saving _problems/test-difNLR-645.R Saving _problems/test-difNLR-647.R Saving _problems/test-difNLR-648.R Saving _problems/test-difNLR-650.R Saving _problems/test-difNLR-651.R Saving _problems/test-difNLR-657.R Saving _problems/test-difNLR-659.R Saving _problems/test-difNLR-664.R Saving _problems/test-difNLR-666.R $Item5 $Item5 $Item5 $Item5 Saving _problems/test-difORD-14.R Saving _problems/test-difORD-49.R Saving _problems/test-difORD-55.R Saving _problems/test-difORD-61.R Saving _problems/test-difORD-67.R Saving _problems/test-difORD-73.R Saving _problems/test-estimNLR-27.R Saving _problems/test-estimNLR-96.R [ FAIL 48 | WARN 1 | SKIP 16 | PASS 294 ] ══ Skipped tests (16) ══════════════════════════════════════════════════════════ • On CRAN (16): 'test-ddfMLR.R:1:1', 'test-ddfMLR.R:178:1', 'test-ddfMLR.R:209:1', 'test-difNLR.R:1:1', 'test-difNLR.R:306:1', 'test-difNLR.R:323:1', 'test-difNLR.R:534:1', 'test-difNLR.R:577:1', 'test-difORD.R:1:1', 'test-difORD.R:198:1', 'test-difORD.R:238:1', 'test-estimNLR.R:1:1', 'test-genNLR.R:1:1', 'test-genNLR.R:97:1', 'test-startNLR.R:1:1', 'test-startNLR.R:59:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-difNLR.R:14:3'): difNLR - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$nlrPAR[[19]]`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020993 0.16690432 0.00000000 0.00000000 0.11558347 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$nlrSE[[19]]`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020993 0.16690432 0.11558347 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226379 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576920 0.82846621 0.07274199 0.11401508 0.20008980 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951087 0.22840263 0.16653676 0.17824104 0.18525774 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389673 - 0.317389648 [1] [2] 0.180970638 - 0.180970873 [2] [3] 0.126195460 - 0.126195564 [3] [4] 0.161661697 - 0.161661852 [4] [5] 0.088776082 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267628 -0.04957516 -0.009803316 0.005316378 -0.058633988 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575163 0.05216776 -0.013482952 -0.025705019 0.035057815 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803316 -0.01348295 0.027734493 0.018707553 -0.003097795 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316378 -0.02570502 0.018707553 0.031769868 -0.009151674 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633988 0.03505782 -0.003097795 -0.009151674 0.034320430 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736205 -0.045897306 -0.0097905715 -0.003091686 -0.0270592890 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897306 0.032750372 0.0029241566 -0.009602353 0.0127859120 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790571 0.002924157 0.0159252941 -0.003765777 0.0005707854 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091686 -0.009602353 -0.0037657767 0.026134504 0.0014824482 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059289 0.012785912 0.0005707854 0.001482448 0.0078811928 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 ── Failure ('test-difNLR.R:27:3'): difNLR - examples at help page ────────────── Expected `coef(fit1)` to equal `fit1_coef1_expected`. Differences: actual$Item1 vs expected$Item1 [,1] [,2] [,3] [,4] [,5] - actual$Item1[1, ] 1.1211115 -0.30366673 -0.06452303 0.9496955 0.11055433 + expected$Item1[1, ] 1.1211096 -0.30367079 -0.06452658 0.9496952 0.11055254 - actual$Item1[2, ] 0.8275635 -0.64093641 -0.39938649 0.7318107 -0.01922413 + expected$Item1[2, ] 0.8275618 -0.64094274 -0.39938806 0.7318103 -0.01922709 - actual$Item1[3, ] 1.4146595 0.03360294 0.27034043 1.1675803 0.24033280 + expected$Item1[3, ] 1.4146573 0.03360115 0.27033489 1.1675800 0.24033216 actual$Item2 vs expected$Item2 [,1] [,2] [,3] [,4] [,5] - actual$Item2[1, ] 0.7152887 -0.4752518 0.5270872 0.5030715 0.07629900 + expected$Item2[1, ] 0.7152842 -0.4752771 0.5270724 0.5030783 0.07629099 - actual$Item2[2, ] 0.5104054 -1.0568661 0.1738859 0.1923783 -0.08944687 + expected$Item2[2, ] 0.5104020 -1.0569059 0.1738772 0.1923828 -0.08946022 - actual$Item2[3, ] 0.9201720 0.1063626 0.8802885 0.8137647 0.24204487 + expected$Item2[3, ] 0.9201664 0.1063518 0.8802676 0.8137739 0.24204220 actual$Item3 vs expected$Item3 [,1] [,2] [,3] - actual$Item3[1, ] 0.6742923 -1.5047526 0.0000000 + expected$Item3[1, ] 0.6742919 -1.5047528 0.0000000 - actual$Item3[2, ] 0.3510788 -3.8836030 -0.8092907 + expected$Item3[2, ] 0.3510784 -3.8836065 -0.8092914 - actual$Item3[3, ] 0.9975057 0.8740977 0.8092907 + expected$Item3[3, ] 0.9975053 0.8741010 0.8092914 actual$Item8 vs expected$Item8 [,1] [,2] [,3] - actual$Item8[1, ] 0.8219169 -0.1538132 0.18856090 + expected$Item8[1, ] 0.8219168 -0.1538134 0.18856084 - actual$Item8[2, ] 0.4896848 -1.0273139 -0.06852521 + expected$Item8[2, ] 0.4896850 -1.0273139 -0.06852520 - actual$Item8[3, ] 1.1541490 0.7196874 0.44564701 + expected$Item8[3, ] 1.1541486 0.7196870 0.44564688 actual$Item12 vs expected$Item12 [,1] [,2] [,3] - actual$Item12[1, ] 0.8977815 0.3821502 0.20920247 + expected$Item12[1, ] 0.8977892 0.3821652 0.20920692 - actual$Item12[2, ] 0.5562310 -0.1638465 0.04190755 + expected$Item12[2, ] 0.5562369 -0.1638188 0.04191572 - actual$Item12[3, ] 1.2393320 0.9281469 0.37649740 + expected$Item12[3, ] 1.2393415 0.9281493 0.37649812 actual$Item15 vs expected$Item15 [,1] [,2] [,3] - actual$Item15[1, ] 0.5969715 -0.1624826 0.0000000 + expected$Item15[1, ] 0.5969710 -0.1624826 0.0000000 - actual$Item15[2, ] 0.2924758 -1.7880450 -0.4508180 + expected$Item15[2, ] 0.2924753 -1.7880480 -0.4508185 - actual$Item15[3, ] 0.9014671 1.4630798 0.4508180 + expected$Item15[3, ] 0.9014667 1.4630829 0.4508185 actual$Item17 vs expected$Item17 [,1] [,2] [,3] - actual$Item17[1, ] 0.6847759 0.76018625 0.1095428 + expected$Item17[1, ] 0.6847714 0.76017007 0.1095386 - actual$Item17[2, ] 0.3576494 -0.03282382 -0.1169966 + expected$Item17[2, ] 0.3576462 -0.03285713 -0.1170052 - actual$Item17[3, ] 1.0119023 1.55319631 0.3360823 + expected$Item17[3, ] 1.0118965 1.55319727 0.3360824 actual$Item18 vs expected$Item18 [,1] [,2] [,3] - actual$Item18[1, ] 1.0130030 0.5271836 0.02923429 + expected$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.7467681 0.2319368 -0.09187737 + expected$Item18[2, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[3, ] 1.2792379 0.8224303 0.15034595 + expected$Item18[3, ] 1.2792380 0.8224303 0.15034599 actual$Item19 vs expected$Item19 [,1] [,2] [,3] [,4] [,5] - actual$Item19[1, ] 1.0724722 0.32685544 -0.28026602 -0.1179629 0.06295757 + expected$Item19[1, ] 1.0724564 0.32683925 -0.28025431 -0.1179664 0.06295113 - actual$Item19[2, ] 0.7086761 -0.06061478 -0.57594868 -0.3699005 -0.09366360 + expected$Item19[2, ] 0.7086647 -0.06064279 -0.57593174 -0.3699033 -0.09367449 - actual$Item19[3, ] 1.4362683 0.71432566 0.01541665 0.1339747 0.21957875 + expected$Item19[3, ] 1.4362481 0.71432129 0.01542311 0.1339705 0.21957674 actual$Item20 vs expected$Item20 [,1] [,2] [,3] - actual$Item20[1, ] 1.2606952 1.0741939 0.2041042 + expected$Item20[1, ] 1.2606957 1.0741941 0.2041043 - actual$Item20[2, ] 0.8841609 0.8738657 0.1346807 + expected$Item20[2, ] 0.8841613 0.8738660 0.1346808 - actual$Item20[3, ] 1.6372294 1.2745221 0.2735277 + expected$Item20[3, ] 1.6372300 1.2745222 0.2735277 ── Failure ('test-difNLR.R:30:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE)` to equal `fit1_coef2_expected`. Differences: actual$Item1 vs expected$Item1 [,1] [,2] [,3] [,4] [,5] - actual$Item1[1, ] 1.1211115 -0.30366673 -0.06452303 0.9496955 0.11055433 + expected$Item1[1, ] 1.1211096 -0.30367079 -0.06452658 0.9496952 0.11055254 - actual$Item1[2, ] 0.1497721 0.17207953 0.17085184 0.1111678 0.06621472 + expected$Item1[2, ] 0.1497720 0.17208068 0.17085083 0.1111678 0.06621531 - actual$Item1[3, ] 0.8275635 -0.64093641 -0.39938649 0.7318107 -0.01922413 + expected$Item1[3, ] 0.8275618 -0.64094274 -0.39938806 0.7318103 -0.01922709 - actual$Item1[4, ] 1.4146595 0.03360294 0.27034043 1.1675803 0.24033280 + expected$Item1[4, ] 1.4146573 0.03360115 0.27033489 1.1675800 0.24033216 actual$Item2 vs expected$Item2 [,1] [,2] [,3] [,4] [,5] - actual$Item2[1, ] 0.7152887 -0.4752518 0.5270872 0.5030715 0.07629900 + expected$Item2[1, ] 0.7152842 -0.4752771 0.5270724 0.5030783 0.07629099 - actual$Item2[2, ] 0.1045342 0.2967475 0.1802081 0.1585198 0.08456577 + expected$Item2[2, ] 0.1045337 0.2967549 0.1802049 0.1585211 0.08456850 - actual$Item2[3, ] 0.5104054 -1.0568661 0.1738859 0.1923783 -0.08944687 + expected$Item2[3, ] 0.5104020 -1.0569059 0.1738772 0.1923828 -0.08946022 - actual$Item2[4, ] 0.9201720 0.1063626 0.8802885 0.8137647 0.24204487 + expected$Item2[4, ] 0.9201664 0.1063518 0.8802676 0.8137739 0.24204220 actual$Item3 vs expected$Item3 [,1] [,2] [,3] - actual$Item3[1, ] 0.6742923 -1.5047526 0.0000000 + expected$Item3[1, ] 0.6742919 -1.5047528 0.0000000 - actual$Item3[2, ] 0.1649078 1.2137215 0.4129110 + expected$Item3[2, ] 0.1649079 1.2137232 0.4129113 - actual$Item3[3, ] 0.3510788 -3.8836030 -0.8092907 + expected$Item3[3, ] 0.3510784 -3.8836065 -0.8092914 - actual$Item3[4, ] 0.9975057 0.8740977 0.8092907 + expected$Item3[4, ] 0.9975053 0.8741010 0.8092914 actual$Item8 vs expected$Item8 [,1] [,2] [,3] - actual$Item8[1, ] 0.8219169 -0.1538132 0.18856090 + expected$Item8[1, ] 0.8219168 -0.1538134 0.18856084 - actual$Item8[2, ] 0.1695093 0.4456718 0.13116879 + expected$Item8[2, ] 0.1695092 0.4456717 0.13116876 - actual$Item8[3, ] 0.4896848 -1.0273139 -0.06852521 + expected$Item8[3, ] 0.4896850 -1.0273139 -0.06852520 - actual$Item8[4, ] 1.1541490 0.7196874 0.44564701 + expected$Item8[4, ] 1.1541486 0.7196870 0.44564688 actual$Item12 vs expected$Item12 [,1] [,2] [,3] - actual$Item12[1, ] 0.8977815 0.3821502 0.20920247 + expected$Item12[1, ] 0.8977892 0.3821652 0.20920692 - actual$Item12[2, ] 0.1742637 0.2785749 0.08535612 + expected$Item12[2, ] 0.1742646 0.2785684 0.08535422 - actual$Item12[3, ] 0.5562310 -0.1638465 0.04190755 + expected$Item12[3, ] 0.5562369 -0.1638188 0.04191572 - actual$Item12[4, ] 1.2393320 0.9281469 0.37649740 + expected$Item12[4, ] 1.2393415 0.9281493 0.37649812 actual$Item15 vs expected$Item15 [,1] [,2] [,3] - actual$Item15[1, ] 0.5969715 -0.1624826 0.0000000 + expected$Item15[1, ] 0.5969710 -0.1624826 0.0000000 - actual$Item15[2, ] 0.1553578 0.8293838 0.2300134 + expected$Item15[2, ] 0.1553578 0.8293854 0.2300137 - actual$Item15[3, ] 0.2924758 -1.7880450 -0.4508180 + expected$Item15[3, ] 0.2924753 -1.7880480 -0.4508185 - actual$Item15[4, ] 0.9014671 1.4630798 0.4508180 + expected$Item15[4, ] 0.9014667 1.4630829 0.4508185 actual$Item17 vs expected$Item17 [,1] [,2] [,3] - actual$Item17[1, ] 0.6847759 0.76018625 0.1095428 + expected$Item17[1, ] 0.6847714 0.76017007 0.1095386 - actual$Item17[2, ] 0.1669043 0.40460441 0.1155835 + expected$Item17[2, ] 0.1669037 0.40461315 0.1155857 - actual$Item17[3, ] 0.3576494 -0.03282382 -0.1169966 + expected$Item17[3, ] 0.3576462 -0.03285713 -0.1170052 - actual$Item17[4, ] 1.0119023 1.55319631 0.3360823 + expected$Item17[4, ] 1.0118965 1.55319727 0.3360824 actual$Item18 vs expected$Item18 [,1] [,2] [,3] - actual$Item18[1, ] 1.0130030 0.5271836 0.02923429 + expected$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.1358366 0.1506388 0.06179280 + expected$Item18[2, ] 0.1358367 0.1506389 0.06179281 - actual$Item18[3, ] 0.7467681 0.2319368 -0.09187737 + expected$Item18[3, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[4, ] 1.2792379 0.8224303 0.15034595 + expected$Item18[4, ] 1.2792380 0.8224303 0.15034599 actual$Item19 vs expected$Item19 [,1] [,2] [,3] [,4] [,5] - actual$Item19[1, ] 1.0724722 0.32685544 -0.28026602 -0.1179629 0.06295757 + expected$Item19[1, ] 1.0724564 0.32683925 -0.28025431 -0.1179664 0.06295113 - actual$Item19[2, ] 0.1856137 0.19769252 0.15086127 0.1285420 0.07991023 + expected$Item19[2, ] 0.1856114 0.19769855 0.15085860 0.1285416 0.07991250 - actual$Item19[3, ] 0.7086761 -0.06061478 -0.57594868 -0.3699005 -0.09366360 + expected$Item19[3, ] 0.7086647 -0.06064279 -0.57593174 -0.3699033 -0.09367449 - actual$Item19[4, ] 1.4362683 0.71432566 0.01541665 0.1339747 0.21957875 + expected$Item19[4, ] 1.4362481 0.71432129 0.01542311 0.1339705 0.21957674 actual$Item20 vs expected$Item20 [,1] [,2] [,3] - actual$Item20[1, ] 1.2606952 1.0741939 0.20410418 + expected$Item20[1, ] 1.2606957 1.0741941 0.20410428 - actual$Item20[2, ] 0.1921128 0.1022101 0.03542081 + expected$Item20[2, ] 0.1921129 0.1022101 0.03542079 - actual$Item20[3, ] 0.8841609 0.8738657 0.13468067 + expected$Item20[3, ] 0.8841613 0.8738660 0.13468081 - actual$Item20[4, ] 1.6372294 1.2745221 0.27352769 + expected$Item20[4, ] 1.6372300 1.2745222 0.27352775 ── Failure ('test-difNLR.R:33:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE, simplify = TRUE)` to equal `fit1_coef3_expected`. Differences: actual vs expected a b aDif bDif c - actual[1, ] 1.1211115 -0.30366673 -0.06452303 0.94969548 0.11055433 + expected[1, ] 1.1211096 -0.30367079 -0.06452658 0.94969519 0.11055254 - actual[2, ] 0.1497721 0.17207953 0.17085184 0.11116776 0.06621472 + expected[2, ] 0.1497720 0.17208068 0.17085083 0.11116778 0.06621531 - actual[3, ] 0.8275635 -0.64093641 -0.39938649 0.73181068 -0.01922413 + expected[3, ] 0.8275618 -0.64094274 -0.39938806 0.73181034 -0.01922709 - actual[4, ] 1.4146595 0.03360294 0.27034043 1.16758029 0.24033280 + expected[4, ] 1.4146573 0.03360115 0.27033489 1.16758004 0.24033216 - actual[5, ] 0.7152887 -0.47525176 0.52708717 0.50307153 0.07629900 + expected[5, ] 0.7152842 -0.47527705 0.52707243 0.50307832 0.07629099 - actual[6, ] 0.1045342 0.29674748 0.18020805 0.15851985 0.08456577 + expected[6, ] 0.1045337 0.29675487 0.18020494 0.15852106 0.08456850 - actual[7, ] 0.5104054 -1.05686614 0.17388588 0.19237834 -0.08944687 + expected[7, ] 0.5104020 -1.05690592 0.17387723 0.19238275 -0.08946022 - actual[8, ] 0.9201720 0.10636262 0.88028846 0.81376473 0.24204487 + expected[8, ] 0.9201664 0.10635181 0.88026764 0.81377389 0.24204220 - actual[9, ] 0.6742923 -1.50475260 0.00000000 0.00000000 0.00000000 + expected[9, ] 0.6742919 -1.50475277 0.00000000 0.00000000 0.00000000 - actual[10, ] 0.1649078 1.21372146 0.00000000 0.00000000 0.41291099 + expected[10, ] 0.1649079 1.21372318 0.00000000 0.00000000 0.41291135 and 9 more ... actual vs expected a b aDif bDif c actual[26, ] 0.1809697 0.83289393 0.12231224 0.19106221 0.27959452 actual[27, ] 0.3651398 -2.40962136 -0.30356105 -0.83511834 -0.54799520 actual[28, ] 1.0745281 0.85526284 0.17589414 -0.08616823 0.54799520 - actual[29, ] 0.8219169 -0.15381323 0.00000000 0.00000000 0.18856090 + expected[29, ] 0.8219168 -0.15381343 0.00000000 0.00000000 0.18856084 - actual[30, ] 0.1695093 0.44567177 0.00000000 0.00000000 0.13116879 + expected[30, ] 0.1695092 0.44567169 0.00000000 0.00000000 0.13116876 - actual[31, ] 0.4896848 -1.02731386 0.00000000 0.00000000 -0.06852521 + expected[31, ] 0.4896850 -1.02731389 0.00000000 0.00000000 -0.06852520 - actual[32, ] 1.1541490 0.71968739 0.00000000 0.00000000 0.44564701 + expected[32, ] 1.1541486 0.71968703 0.00000000 0.00000000 0.44564688 actual[33, ] 0.6387164 -0.38314116 0.00000000 0.00000000 0.05162489 actual[34, ] 0.1603240 0.81712635 0.00000000 0.00000000 0.22952065 actual[35, ] 0.3244872 -1.98467937 0.00000000 0.00000000 -0.39822733 actual vs expected a b aDif bDif c actual[42, ] 0.1474411 0.51559730 0.00000000 0.00000000 0.20333876 actual[43, ] 0.5740457 -1.96072858 0.00000000 0.00000000 -0.38554991 actual[44, ] 1.1520042 0.06037568 0.00000000 0.00000000 0.41152338 - actual[45, ] 0.8977815 0.38215019 0.00000000 0.00000000 0.20920247 + expected[45, ] 0.8977892 0.38216524 0.00000000 0.00000000 0.20920692 - actual[46, ] 0.1742637 0.27857489 0.00000000 0.00000000 0.08535612 + expected[46, ] 0.1742646 0.27856840 0.00000000 0.00000000 0.08535422 - actual[47, ] 0.5562310 -0.16384655 0.00000000 0.00000000 0.04190755 + expected[47, ] 0.5562369 -0.16381880 0.00000000 0.00000000 0.04191572 - actual[48, ] 1.2393320 0.92814694 0.00000000 0.00000000 0.37649740 + expected[48, ] 1.2393415 0.92814928 0.00000000 0.00000000 0.37649812 actual[49, ] 0.8157721 -0.77457288 0.00000000 0.00000000 0.29437966 actual[50, ] 0.1918456 0.69590763 0.00000000 0.00000000 0.18393642 actual[51, ] 0.4397616 -2.13852678 0.00000000 0.00000000 -0.06612910 actual vs expected a b aDif bDif c actual[54, ] 0.1468574 0.22426067 0.00000000 0.00000000 0.07984885 actual[55, ] 0.5921011 0.09897528 0.00000000 0.00000000 -0.08451342 actual[56, ] 1.1677714 0.97806096 0.00000000 0.00000000 0.22848830 - actual[57, ] 0.5969715 -0.16248257 0.00000000 0.00000000 0.00000000 + expected[57, ] 0.5969710 -0.16248256 0.00000000 0.00000000 0.00000000 - actual[58, ] 0.1553578 0.82938381 0.00000000 0.00000000 0.23001339 + expected[58, ] 0.1553578 0.82938536 0.00000000 0.00000000 0.23001366 - actual[59, ] 0.2924758 -1.78804497 0.00000000 0.00000000 -0.45081796 + expected[59, ] 0.2924753 -1.78804800 0.00000000 0.00000000 -0.45081850 - actual[60, ] 0.9014671 1.46307983 0.00000000 0.00000000 0.45081796 + expected[60, ] 0.9014667 1.46308288 0.00000000 0.00000000 0.45081850 actual[61, ] 1.0814052 0.46620935 0.00000000 0.00000000 0.07682816 actual[62, ] 0.1451789 0.14367819 0.00000000 0.00000000 0.05844552 actual[63, ] 0.7968598 0.18460528 0.00000000 0.00000000 -0.03772296 and 17 more ... actual$a | expected$a [1] 1.121111531 - 1.121109559 [1] [2] 0.149772135 - 0.149772005 [2] [3] 0.827563540 - 0.827561822 [3] [4] 1.414659522 - 1.414657295 [4] [5] 0.715288666 - 0.715284188 [5] [6] 0.104534211 - 0.104533661 [6] [7] 0.510405377 - 0.510401978 [7] [8] 0.920171955 - 0.920166398 [8] [9] 0.674292260 - 0.674291851 [9] [10] 0.164907840 - 0.164907873 [10] ... ... ... and 9 more ... actual$a | expected$a [26] 0.180969726 | 0.180969726 [26] [27] 0.365139778 | 0.365139778 [27] [28] 1.074528068 | 1.074528068 [28] [29] 0.821916864 - 0.821916793 [29] [30] 0.169509293 - 0.169509153 [30] [31] 0.489684755 - 0.489684958 [31] [32] 1.154148973 - 1.154148629 [32] [33] 0.638716386 | 0.638716386 [33] [34] 0.160323968 | 0.160323968 [34] [35] 0.324487183 | 0.324487183 [35] actual$a | expected$a [42] 0.147441088 | 0.147441088 [42] [43] 0.574045716 | 0.574045716 [43] [44] 1.152004161 | 1.152004161 [44] [45] 0.897781523 - 0.897789207 [45] [46] 0.174263656 - 0.174264595 [46] [47] 0.556231033 - 0.556236876 [47] [48] 1.239332013 - 1.239341538 [48] [49] 0.815772114 | 0.815772114 [49] [50] 0.191845634 | 0.191845634 [50] [51] 0.439761580 | 0.439761580 [51] actual$a | expected$a [54] 0.146857350 | 0.146857350 [54] [55] 0.592101119 | 0.592101119 [55] [56] 1.167771354 | 1.167771354 [56] [57] 0.596971484 - 0.596971007 [57] [58] 0.155357775 - 0.155357800 [58] [59] 0.292475840 - 0.292475314 [59] [60] 0.901467127 - 0.901466700 [60] [61] 1.081405240 | 1.081405240 [61] [62] 0.145178903 | 0.145178903 [62] [63] 0.796859818 | 0.796859818 [63] ... ... ... and 17 more ... actual$b | expected$b [1] -0.303666734 - -0.303670794 [1] [2] 0.172079525 - 0.172080683 [2] [3] -0.640936407 - -0.640942736 [3] [4] 0.033602938 - 0.033601147 [4] [5] -0.475251764 - -0.475277052 [5] [6] 0.296747484 - 0.296754874 [6] [7] -1.056866145 - -1.056905917 [7] [8] 0.106362617 - 0.106351814 [8] [9] -1.504752602 - -1.504752772 [9] [10] 1.213721460 - 1.213723182 [10] ... ... ... and 9 more ... actual$b | expected$b [26] 0.832893927 | 0.832893927 [26] [27] -2.409621359 | -2.409621359 [27] [28] 0.855262841 | 0.855262841 [28] [29] -0.153813233 - -0.153813428 [29] [30] 0.445671773 - 0.445671689 [30] [31] -1.027313856 - -1.027313887 [31] [32] 0.719687391 - 0.719687031 [32] [33] -0.383141158 | -0.383141158 [33] [34] 0.817126345 | 0.817126345 [34] [35] -1.984679366 | -1.984679366 [35] actual$b | expected$b [42] 0.515597298 | 0.515597298 [42] [43] -1.960728585 | -1.960728585 [43] [44] 0.060375684 | 0.060375684 [44] [45] 0.382150194 - 0.382165243 [45] [46] 0.278574885 - 0.278568404 [46] [47] -0.163846548 - -0.163818797 [47] [48] 0.928146936 - 0.928149283 [48] [49] -0.774572883 | -0.774572883 [49] [50] 0.695907633 | 0.695907633 [50] [51] -2.138526780 | -2.138526780 [51] actual$b | expected$b [54] 0.224260672 | 0.224260672 [54] [55] 0.098975280 | 0.098975280 [55] [56] 0.978060960 | 0.978060960 [56] [57] -0.162482568 - -0.162482560 [57] [58] 0.829383811 - 0.829385363 [58] [59] -1.788044967 - -1.788048001 [59] [60] 1.463079831 - 1.463082881 [60] [61] 0.466209347 | 0.466209347 [61] [62] 0.143678186 | 0.143678186 [62] [63] 0.184605276 | 0.184605276 [63] ... ... ... and 17 more ... actual$aDif | expected$aDif [1] -0.0645230 - -0.0645266 [1] [2] 0.1708518 - 0.1708508 [2] [3] -0.3993865 - -0.3993881 [3] [4] 0.2703404 - 0.2703349 [4] [5] 0.5270872 - 0.5270724 [5] [6] 0.1802081 - 0.1802049 [6] [7] 0.1738859 - 0.1738772 [7] [8] 0.8802885 - 0.8802676 [8] [9] 0.0000000 | 0.0000000 [9] [10] 0.0000000 | 0.0000000 [10] ... ... ... and 1 more ... actual$aDif | expected$aDif [70] 0.0000000 | 0.0000000 [70] [71] 0.0000000 | 0.0000000 [71] [72] 0.0000000 | 0.0000000 [72] [73] -0.2802660 - -0.2802543 [73] [74] 0.1508613 - 0.1508586 [74] [75] -0.5759487 - -0.5759317 [75] [76] 0.0154166 - 0.0154231 [76] [77] 0.0000000 | 0.0000000 [77] [78] 0.0000000 | 0.0000000 [78] [79] 0.0000000 | 0.0000000 [79] actual$bDif | expected$bDif [1] 0.949695484 - 0.949695187 [1] [2] 0.111167761 - 0.111167782 [2] [3] 0.731810676 - 0.731810338 [3] [4] 1.167580291 - 1.167580036 [4] [5] 0.503071532 - 0.503078321 [5] [6] 0.158519849 - 0.158521059 [6] [7] 0.192378336 - 0.192382754 [7] [8] 0.813764727 - 0.813773887 [8] [9] 0.000000000 | 0.000000000 [9] [10] 0.000000000 | 0.000000000 [10] ... ... ... and 1 more ... actual$bDif | expected$bDif [70] 0.000000000 | 0.000000000 [70] [71] 0.000000000 | 0.000000000 [71] [72] 0.000000000 | 0.000000000 [72] [73] -0.117962872 - -0.117966417 [73] [74] 0.128541963 - 0.128541597 [74] [75] -0.369900490 - -0.369903317 [75] [76] 0.133974747 - 0.133970483 [76] [77] 0.000000000 | 0.000000000 [77] [78] 0.000000000 | 0.000000000 [78] [79] 0.000000000 | 0.000000000 [79] actual$c | expected$c [1] 0.110554332 - 0.110552536 [1] [2] 0.066214719 - 0.066215310 [2] [3] -0.019224132 - -0.019227087 [3] [4] 0.240332795 - 0.240332159 [4] [5] 0.076299000 - 0.076290990 [5] [6] 0.084565772 - 0.084568498 [6] [7] -0.089446867 - -0.089460221 [7] [8] 0.242044867 - 0.242042201 [8] [9] 0.000000000 | 0.000000000 [9] [10] 0.412910989 - 0.412911348 [10] ... ... ... and 9 more ... actual$c | expected$c [26] 0.279594525 | 0.279594525 [26] [27] -0.547995199 | -0.547995199 [27] [28] 0.547995199 | 0.547995199 [28] [29] 0.188560897 - 0.188560839 [29] [30] 0.131168793 - 0.131168755 [30] [31] -0.068525213 - -0.068525197 [31] [32] 0.445647007 - 0.445646875 [32] [33] 0.051624886 | 0.051624886 [33] [34] 0.229520652 | 0.229520652 [34] [35] -0.398227326 | -0.398227326 [35] actual$c | expected$c [42] 0.203338760 | 0.203338760 [42] [43] -0.385549911 | -0.385549911 [43] [44] 0.411523383 | 0.411523383 [44] [45] 0.209202473 - 0.209206920 [45] [46] 0.085356121 - 0.085354220 [46] [47] 0.041907550 - 0.041915723 [47] [48] 0.376497397 - 0.376498117 [48] [49] 0.294379661 | 0.294379661 [49] [50] 0.183936421 | 0.183936421 [50] [51] -0.066129098 | -0.066129098 [51] actual$c | expected$c [55] -0.084513421 | -0.084513421 [55] [56] 0.228488303 | 0.228488303 [56] [57] 0.000000000 | 0.000000000 [57] [58] 0.230013390 - 0.230013664 [58] [59] -0.450817961 - -0.450818497 [59] [60] 0.450817961 - 0.450818497 [60] [61] 0.076828160 | 0.076828160 [61] [62] 0.058445522 | 0.058445522 [62] [63] -0.037722959 | -0.037722959 [63] [64] 0.191379279 | 0.191379279 [64] ... ... ... and 16 more ... ── Failure ('test-difNLR.R:67:3'): difNLR - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$Sval | expected$Sval [1] 41.91450786 - 41.91446590 [1] [2] 14.73983537 - 14.73970661 [2] [3] 0.69033084 | 0.69033084 [3] [4] 2.86221667 - 2.86221791 [4] [5] 1.08908531 - 1.08904070 [5] [6] 0.15466706 | 0.15466706 [6] [7] 5.68978837 | 5.68978837 [7] [8] 2.41271466 | 2.41271466 [8] actual$Sval | expected$Sval [9] 0.42188747 | 0.42188747 [9] [10] 1.16991275 | 1.16991275 [10] [11] 1.20219021 | 1.20219021 [11] [12] 1.01431193 - 1.01430708 [12] [13] 3.85492063 - 3.85490451 [13] [14] 1.41489478 - 1.41492671 [14] [15] 1.10837744 - 1.10837665 [15] [16] 0.13937675 - 0.13939486 [16] [17] 2.56488158 | 2.56488158 [17] [18] 1.94129713 | 1.94129713 [18] ... ... ... and 2 more ... `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.1648098 0.8741076 0.0000000 0.0000000 0.0312352 `expected$nlrPAR[[19]]`: -0.1647959 0.8741101 0.0000000 0.0000000 0.0312302 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020993 0.16690432 0.00000000 0.00000000 0.11558347 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25443618 0.13941454 0.00000000 0.00000000 0.09722468 `expected$nlrSE[[19]]`: 0.25443417 0.13941390 0.00000000 0.00000000 0.09722515 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020993 0.16690432 0.11558347 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226379 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576920 0.82846621 0.07274199 0.11401508 0.20008980 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951087 0.22840263 0.16653676 0.17824104 0.18525774 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389673 - 0.317389648 [1] [2] 0.180970638 - 0.180970873 [2] [3] 0.126195460 - 0.126195564 [3] [4] 0.161661697 - 0.161661852 [4] [5] 0.088776082 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267628 -0.04957516 -0.009803316 0.005316378 -0.058633988 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575163 0.05216776 -0.013482952 -0.025705019 0.035057815 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803316 -0.01348295 0.027734493 0.018707553 -0.003097795 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316378 -0.02570502 0.018707553 0.031769868 -0.009151674 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633988 0.03505782 -0.003097795 -0.009151674 0.034320430 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736205 -0.045897306 -0.0097905715 -0.003091686 -0.0270592890 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897306 0.032750372 0.0029241566 -0.009602353 0.0127859120 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790571 0.002924157 0.0159252941 -0.003765777 0.0005707854 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091686 -0.009602353 -0.0037657767 0.026134504 0.0014824482 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059289 0.012785912 0.0005707854 0.001482448 0.0078811928 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 actual$pval | expected$pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629920 - 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043834 - 0.239043686 [4] [5] 0.580107032 - 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] [8] 0.299285495 | 0.299285495 [8] actual$pval | expected$pval [9] 0.809819629 | 0.809819629 [9] [10] 0.557130166 | 0.557130166 [10] [11] 0.548210958 | 0.548210958 [11] [12] 0.602205839 - 0.602207300 [12] [13] 0.145517298 - 0.145518471 [13] [14] 0.492900777 - 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932684424 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] ... ... ... and 2 more ... actual$adj.pval | expected$adj.pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629920 - 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043834 - 0.239043686 [4] [5] 0.580107032 - 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] [8] 0.299285495 | 0.299285495 [8] actual$adj.pval | expected$adj.pval [9] 0.809819629 | 0.809819629 [9] [10] 0.557130166 | 0.557130166 [10] [11] 0.548210958 | 0.548210958 [11] [12] 0.602205839 - 0.602207300 [12] [13] 0.145517298 - 0.145518471 [13] [14] 0.492900777 - 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932684424 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] ... ... ... and 2 more ... ── Failure ('test-difNLR.R:74:3'): difNLR - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$nlrPAR[[19]]`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020993 0.16690432 0.00000000 0.00000000 0.11558347 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$nlrSE[[19]]`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020993 0.16690432 0.11558347 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226379 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576920 0.82846621 0.07274199 0.11401508 0.20008980 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951087 0.22840263 0.16653676 0.17824104 0.18525774 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389673 - 0.317389648 [1] [2] 0.180970638 - 0.180970873 [2] [3] 0.126195460 - 0.126195564 [3] [4] 0.161661697 - 0.161661852 [4] [5] 0.088776082 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267628 -0.04957516 -0.009803316 0.005316378 -0.058633988 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575163 0.05216776 -0.013482952 -0.025705019 0.035057815 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803316 -0.01348295 0.027734493 0.018707553 -0.003097795 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316378 -0.02570502 0.018707553 0.031769868 -0.009151674 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633988 0.03505782 -0.003097795 -0.009151674 0.034320430 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736205 -0.045897306 -0.0097905715 -0.003091686 -0.0270592890 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897306 0.032750372 0.0029241566 -0.009602353 0.0127859120 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790571 0.002924157 0.0159252941 -0.003765777 0.0005707854 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091686 -0.009602353 -0.0037657767 0.026134504 0.0014824482 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059289 0.012785912 0.0005707854 0.001482448 0.0078811928 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 ── Failure ('test-difNLR.R:82:3'): difNLR - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$nlrPAR[[19]]`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.182139912 - 0.182140300 [1] [2] 0.136434971 - 0.136435011 [2] [3] 0.195971574 - 0.195970218 [3] [4] 0.181408684 - 0.181407263 [4] [5] 0.071363228 - 0.071363724 [5] `actual$nlrSE[[2]]`: 0.15013925 0.09804375 0.11505907 0.15356014 0.06380017 `expected$nlrSE[[2]]`: 0.15014054 0.09804337 0.11505747 0.15355780 0.06380204 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.215829728 - 0.215831976 [1] [2] 0.059341213 - 0.059341307 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.141829810 - 0.141831397 [5] `actual$nlrSE[[4]]`: 0.88126176 0.16560992 0.00000000 0.00000000 0.68092015 `expected$nlrSE[[4]]`: 0.88126070 0.16560973 0.00000000 0.00000000 0.68091933 actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.401197762 - 0.401197856 [1] [2] 0.178215930 - 0.178215952 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.149918697 - 0.149918758 [5] `actual$nlrSE[[12]]`: 0.32727738 0.16911890 0.00000000 0.00000000 0.08876811 `expected$nlrSE[[12]]`: 0.32727418 0.16911810 0.00000000 0.00000000 0.08876566 `actual$nlrSE[[15]]`: 0.4625678 0.1407642 0.0000000 0.0000000 0.2203973 `expected$nlrSE[[15]]`: 0.4625593 0.1407614 0.0000000 0.0000000 0.2203932 `actual$nlrSE[[17]]`: 0.4632523 0.1874598 0.0000000 0.0000000 0.1342086 `expected$nlrSE[[17]]`: 0.4632644 0.1874638 0.0000000 0.0000000 0.1342142 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.193704607 - 0.193704599 [1] [2] 0.126841365 - 0.126841362 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.052025514 - 0.052025510 [5] `actual$nlrSE[[19]]`: 0.2702559 0.1902969 0.1230730 0.1536804 0.0762552 `expected$nlrSE[[19]]`: 0.2702546 0.1902939 0.1230704 0.1536768 0.0762570 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.304644863 - 0.304644969 [1] [2] 0.200301551 - 0.200301634 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.037217858 - 0.037217841 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.247502478 0.141883446 0.094060520 `expected$seM0$Item1`: 0.247504232 0.141883385 0.094062659 `actual$seM0$Item2`: 0.20122551 0.14005876 0.06774395 `expected$seM0$Item2`: 0.20122455 0.14005847 0.06774292 `actual$seM0$Item3`: 0.215829728 0.059341213 0.141829810 `expected$seM0$Item3`: 0.215831976 0.059341307 0.141831397 `actual$seM0$Item4`: 0.88126176 0.16560992 0.68092015 `expected$seM0$Item4`: 0.88126070 0.16560973 0.68091933 `actual$seM0$Item8`: 0.401197762 0.178215930 0.149918697 `expected$seM0$Item8`: 0.401197856 0.178215952 0.149918758 `actual$seM0$Item12`: 0.32727738 0.16911890 0.08876811 `expected$seM0$Item12`: 0.32727418 0.16911810 0.08876566 `actual$seM0$Item15`: 0.4625678 0.1407642 0.2203973 `expected$seM0$Item15`: 0.4625593 0.1407614 0.2203932 `actual$seM0$Item17`: 0.4632523 0.1874598 0.1342086 `expected$seM0$Item17`: 0.4632644 0.1874638 0.1342142 `actual$seM0$Item18`: 0.193704607 0.126841365 0.052025514 `expected$seM0$Item18`: 0.193704599 0.126841362 0.052025510 `actual$seM0$Item19`: 0.244997 0.127100 0.088943 `expected$seM0$Item19`: 0.245022 0.127114 0.088954 `actual$seM0$Item20`: 0.304644863 0.200301551 0.037217858 `expected$seM0$Item20`: 0.304644969 0.200301634 0.037217841 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.06125748 -0.03115499 -0.022760713 + expected$covM0$Item1[1, ] 0.06125834 -0.03115527 -0.022761408 - actual$covM0$Item1[2, ] -0.03115499 0.02013091 0.012009712 + expected$covM0$Item1[2, ] -0.03115527 0.02013089 0.012010012 - actual$covM0$Item1[3, ] -0.02276071 0.01200971 0.008847381 + expected$covM0$Item1[3, ] -0.02276141 0.01201001 0.008847784 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.04049170 -0.022396013 -0.013017895 + expected$covM0$Item2[1, ] 0.04049132 -0.022395776 -0.013017623 - actual$covM0$Item2[2, ] -0.02239601 0.019616456 0.007736685 + expected$covM0$Item2[2, ] -0.02239578 0.019616376 0.007736518 - actual$covM0$Item2[3, ] -0.01301789 0.007736685 0.004589242 + expected$covM0$Item2[3, ] -0.01301762 0.007736518 0.004589103 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.046582471 -0.003611274 -0.029569491 + expected$covM0$Item3[1, ] 0.046583442 -0.003611420 -0.029570154 - actual$covM0$Item3[2, ] -0.003611274 0.003521380 0.003202409 + expected$covM0$Item3[2, ] -0.003611420 0.003521391 0.003202505 - actual$covM0$Item3[3, ] -0.029569491 0.003202409 0.020115695 + expected$covM0$Item3[3, ] -0.029570154 0.003202505 0.020116145 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7766223 -0.13391789 -0.5986901 + expected$covM0$Item4[1, ] 0.7766204 -0.13391755 -0.5986886 - actual$covM0$Item4[2, ] -0.1339179 0.02742665 0.1046947 + expected$covM0$Item4[2, ] -0.1339175 0.02742658 0.1046944 - actual$covM0$Item4[3, ] -0.5986901 0.10469471 0.4636523 + expected$covM0$Item4[3, ] -0.5986886 0.10469445 0.4636511 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.16095964 -0.06601989 -0.05950329 + expected$covM0$Item8[1, ] 0.16095972 -0.06601992 -0.05950333 - actual$covM0$Item8[2, ] -0.06601989 0.03176092 0.02478046 + expected$covM0$Item8[2, ] -0.06601992 0.03176093 0.02478048 - actual$covM0$Item8[3, ] -0.05950329 0.02478046 0.02247562 + expected$covM0$Item8[3, ] -0.05950333 0.02478048 0.02247563 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.10711048 -0.05020243 -0.028452685 + expected$covM0$Item12[1, ] 0.10710839 -0.05020158 -0.028451594 - actual$covM0$Item12[2, ] -0.05020243 0.02860120 0.013479957 + expected$covM0$Item12[2, ] -0.05020158 0.02860093 0.013479471 - actual$covM0$Item12[3, ] -0.02845268 0.01347996 0.007879777 + expected$covM0$Item12[3, ] -0.02845159 0.01347947 0.007879342 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.21396894 -0.06122923 -0.10144079 + expected$covM0$Item15[1, ] 0.21396106 -0.06122675 -0.10143700 - actual$covM0$Item15[2, ] -0.06122923 0.01981455 0.02930832 + expected$covM0$Item15[2, ] -0.06122675 0.01981377 0.02930712 - actual$covM0$Item15[3, ] -0.10144079 0.02930832 0.04857497 + expected$covM0$Item15[3, ] -0.10143700 0.02930712 0.04857315 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.21460270 -0.08275234 -0.06169009 + expected$covM0$Item17[1, ] 0.21461388 -0.08275649 -0.06169431 - actual$covM0$Item17[2, ] -0.08275234 0.03514116 0.02389419 + expected$covM0$Item17[2, ] -0.08275649 0.03514266 0.02389578 - actual$covM0$Item17[3, ] -0.06169009 0.02389419 0.01801195 + expected$covM0$Item17[3, ] -0.06169431 0.02389578 0.01801345 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.037521475 -0.021302394 -0.009676867 + expected$covM0$Item18[1, ] 0.037521472 -0.021302393 -0.009676866 - actual$covM0$Item18[2, ] -0.021302394 0.016088732 0.005718583 + expected$covM0$Item18[2, ] -0.021302393 0.016088731 0.005718582 - actual$covM0$Item18[3, ] -0.009676867 0.005718583 0.002706654 + expected$covM0$Item18[3, ] -0.009676866 0.005718582 0.002706654 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06002353 -0.02765727 -0.02132544 + expected$covM0$Item19[1, ] 0.06003589 -0.02766398 -0.02133031 - actual$covM0$Item19[2, ] -0.02765727 0.01615433 0.01014022 + expected$covM0$Item19[2, ] -0.02766398 0.01615796 0.01014285 - actual$covM0$Item19[3, ] -0.02132544 0.01014022 0.00791085 + expected$covM0$Item19[3, ] -0.02133031 0.01014285 0.00791276 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.09280849 -0.056079244 -0.010573162 + expected$covM0$Item20[1, ] 0.09280856 -0.056079288 -0.010573160 - actual$covM0$Item20[2, ] -0.05607924 0.040120711 0.006246399 + expected$covM0$Item20[2, ] -0.05607929 0.040120745 0.006246398 - actual$covM0$Item20[3, ] -0.01057316 0.006246399 0.001385169 + expected$covM0$Item20[3, ] -0.01057316 0.006246398 0.001385168 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576920 0.82846621 0.07274199 0.11401508 0.20008980 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.182139912 - 0.182140300 [1] [2] 0.136434971 - 0.136435011 [2] [3] 0.195971574 - 0.195970218 [3] [4] 0.181408684 - 0.181407263 [4] [5] 0.071363228 - 0.071363724 [5] `actual$seM1$Item2`: 0.15013925 0.09804375 0.11505907 0.15356014 0.06380017 `expected$seM1$Item2`: 0.15014054 0.09804337 0.11505747 0.15355780 0.06380204 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.902206263 - 0.902244756 [1] [2] 0.183113700 - 0.183120113 [2] [3] 0.127083394 - 0.127083835 [3] [4] 0.127064175 - 0.127064121 [4] [5] 0.682118044 - 0.682147597 [5] `actual$seM1$Item5`: 0.66434120 0.27999838 0.15330582 0.16565851 0.34714389 `expected$seM1$Item5`: 0.66433706 0.27999579 0.15330600 0.16565984 0.34713876 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.384107159 - 0.384107914 [1] [2] 0.218214278 - 0.218215022 [2] [3] 0.136533175 - 0.136533457 [3] [4] 0.154528701 - 0.154529082 [4] [5] 0.100063616 - 0.100063598 [5] `actual$seM1$Item13`: 0.5201022 0.2005938 0.1351184 0.1484363 0.2492924 `expected$seM1$Item13`: 0.5201498 0.2005973 0.1351160 0.1484286 0.2493353 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.254320246 - 0.254323256 [1] [2] 0.139648922 - 0.139649688 [2] [3] 0.110457527 | 0.110457527 [3] [4] 0.119580204 - 0.119579908 [4] [5] 0.073202584 - 0.073203452 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.433862773 - 0.433862784 [1] [2] 0.143168315 - 0.143168318 [2] [3] 0.096666823 | 0.096666823 [3] [4] 0.093469202 | 0.093469202 [4] [5] 0.199418936 - 0.199418941 [5] `actual$seM1$Item16`: 0.21046916 0.13646859 0.12012704 0.13676344 0.05300150 `expected$seM1$Item16`: 0.21046973 0.13646944 0.12012675 0.13676297 0.05300169 `actual$seM1$Item19`: 0.2702559 0.1902969 0.1230730 0.1536804 0.0762552 `expected$seM1$Item19`: 0.2702546 0.1902939 0.1230704 0.1536768 0.0762570 `actual$seM1$Item20`: 0.27755210 0.18472890 0.22329169 0.22687549 0.03714080 `expected$seM1$Item20`: 0.27755499 0.18473132 0.22329334 0.22687700 0.03714060 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.03317495 -0.013650475 0.01750644 -0.017689893 -0.011595567 + expected$covM1$Item1[1, ] 0.03317509 -0.013650567 0.01750634 -0.017689734 -0.011595684 - actual$covM1$Item1[2, ] -0.01365047 0.018614501 -0.01455528 -0.001145234 0.006407021 + expected$covM1$Item1[2, ] -0.01365057 0.018614512 -0.01455523 -0.001145268 0.006407092 - actual$covM1$Item1[3, ] 0.01750644 -0.014555280 0.03840486 -0.019132976 -0.010712079 + expected$covM1$Item1[3, ] 0.01750634 -0.014555230 0.03840433 -0.019132514 -0.010712063 - actual$covM1$Item1[4, ] -0.01768989 -0.001145234 -0.01913298 0.032909111 0.007394174 + expected$covM1$Item1[4, ] -0.01768973 -0.001145268 -0.01913251 0.032908595 0.007394127 - actual$covM1$Item1[5, ] -0.01159557 0.006407021 -0.01071208 0.007394174 0.005092710 + expected$covM1$Item1[5, ] -0.01159568 0.006407092 -0.01071206 0.007394127 0.005092781 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.0225417940 -0.006605298 -0.0003416402 -0.008136222 -0.008376166 + expected$covM1$Item2[1, ] 0.0225421825 -0.006605426 -0.0003416772 -0.008136339 -0.008376524 - actual$covM1$Item2[2, ] -0.0066052977 0.009612576 -0.0021371287 -0.003801043 0.003299347 + expected$covM1$Item2[2, ] -0.0066054264 0.009612502 -0.0021371262 -0.003800878 0.003299483 - actual$covM1$Item2[3, ] -0.0003416402 -0.002137129 0.0132385896 -0.001810276 -0.002417447 + expected$covM1$Item2[3, ] -0.0003416772 -0.002137126 0.0132382212 -0.001810048 -0.002417431 - actual$covM1$Item2[4, ] -0.0081362216 -0.003801043 -0.0018102761 0.023580718 0.003852384 + expected$covM1$Item2[4, ] -0.0081363391 -0.003800878 -0.0018100482 0.023579999 0.003852482 - actual$covM1$Item2[5, ] -0.0083761661 0.003299347 -0.0024174467 0.003852384 0.004070462 + expected$covM1$Item2[5, ] -0.0083765241 0.003299483 -0.0024174308 0.003852482 0.004070701 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.81397614 -0.143611101 -0.036787489 0.012083563 -0.61294329 + expected$covM1$Item4[1, ] 0.81404560 -0.143623886 -0.036790367 0.012083838 -0.61299621 - actual$covM1$Item4[2, ] -0.14361110 0.033530627 0.003260253 -0.010009875 0.11059008 + expected$covM1$Item4[2, ] -0.14362389 0.033532976 0.003260785 -0.010009925 0.11059981 - actual$covM1$Item4[3, ] -0.03678749 0.003260253 0.016150189 0.005334569 0.02287977 + expected$covM1$Item4[3, ] -0.03679037 0.003260785 0.016150301 0.005334550 0.02288197 - actual$covM1$Item4[4, ] 0.01208356 -0.010009875 0.005334569 0.016145305 -0.01091299 + expected$covM1$Item4[4, ] 0.01208384 -0.010009925 0.005334550 0.016145291 -0.01091320 - actual$covM1$Item4[5, ] -0.61294329 0.110590075 0.022879775 -0.010912991 0.46528503 + expected$covM1$Item4[5, ] -0.61299621 0.110599813 0.022881969 -0.010913201 0.46532534 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.44134923 -0.162239810 -0.017596215 -0.024532955 -0.227342671 + expected$covM1$Item5[1, ] 0.44134373 -0.162236950 -0.017596500 -0.024536032 -0.227337853 - actual$covM1$Item5[2, ] -0.16223981 0.078399093 -0.004226919 -0.005838043 0.088596849 + expected$covM1$Item5[2, ] -0.16223695 0.078397643 -0.004226775 -0.005836830 0.088594557 - actual$covM1$Item5[3, ] -0.01759622 -0.004226919 0.023502674 0.008966713 0.002361415 + expected$covM1$Item5[3, ] -0.01759650 -0.004226775 0.023502731 0.008966731 0.002361547 - actual$covM1$Item5[4, ] -0.02453295 -0.005838043 0.008966713 0.027442742 0.010345767 + expected$covM1$Item5[4, ] -0.02453603 -0.005836830 0.008966731 0.027443183 0.010347350 - actual$covM1$Item5[5, ] -0.22734267 0.088596849 0.002361415 0.010345767 0.120508881 + expected$covM1$Item5[5, ] -0.22733785 0.088594557 0.002361547 0.010347350 0.120505317 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.14753831 -0.07557250 -0.025194653 0.023420607 -0.037306303 + expected$covM1$Item12[1, ] 0.14753889 -0.07557295 -0.025194916 0.023420981 -0.037306371 - actual$covM1$Item12[2, ] -0.07557250 0.04761747 0.012142515 -0.020539865 0.019340747 + expected$covM1$Item12[2, ] -0.07557295 0.04761780 0.012142676 -0.020540100 0.019340819 - actual$covM1$Item12[3, ] -0.02519465 0.01214251 0.018641308 -0.007031618 0.004478384 + expected$covM1$Item12[3, ] -0.02519492 0.01214268 0.018641385 -0.007031704 0.004478440 - actual$covM1$Item12[4, ] 0.02342061 -0.02053986 -0.007031618 0.023879119 -0.005445920 + expected$covM1$Item12[4, ] 0.02342098 -0.02054010 -0.007031704 0.023879237 -0.005446005 - actual$covM1$Item12[5, ] -0.03730630 0.01934075 0.004478384 -0.005445920 0.010012727 + expected$covM1$Item12[5, ] -0.03730637 0.01934082 0.004478440 -0.005446005 0.010012724 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.27050628 -0.091180450 -0.025236969 0.019612879 -0.128018981 + expected$covM1$Item13[1, ] 0.27055580 -0.091192037 -0.025239567 0.019610268 -0.128053132 - actual$covM1$Item13[2, ] -0.09118045 0.040237890 0.006163942 -0.015053592 0.044416543 + expected$covM1$Item13[2, ] -0.09119204 0.040239284 0.006164376 -0.015051528 0.044425723 - actual$covM1$Item13[3, ] -0.02523697 0.006163942 0.018256986 0.004253969 0.008895618 + expected$covM1$Item13[3, ] -0.02523957 0.006164376 0.018256327 0.004254185 0.008897746 - actual$covM1$Item13[4, ] 0.01961288 -0.015053592 0.004253969 0.022033331 -0.009927555 + expected$covM1$Item13[4, ] 0.01961027 -0.015051528 0.004254185 0.022031039 -0.009927136 - actual$covM1$Item13[5, ] -0.12801898 0.044416543 0.008895618 -0.009927555 0.062146708 + expected$covM1$Item13[5, ] -0.12805313 0.044425723 0.008897746 -0.009927136 0.062168113 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.0646787874 -0.027876789 -0.0084141448 0.0003847233 -0.0177151590 + expected$covM1$Item14[1, ] 0.0646803184 -0.027877412 -0.0084144370 0.0003848862 -0.0177156022 - actual$covM1$Item14[2, ] -0.0278767889 0.019501821 0.0023291948 -0.0070141728 0.0080229696 + expected$covM1$Item14[2, ] -0.0278774119 0.019502035 0.0023293319 -0.0070142161 0.0080231464 - actual$covM1$Item14[3, ] -0.0084141448 0.002329195 0.0122008652 -0.0029413288 0.0006728889 + expected$covM1$Item14[3, ] -0.0084144370 0.002329332 0.0122008653 -0.0029413255 0.0006729786 - actual$covM1$Item14[4, ] 0.0003847233 -0.007014173 -0.0029413288 0.0142994252 0.0003058189 + expected$covM1$Item14[4, ] 0.0003848862 -0.007014216 -0.0029413255 0.0142993543 0.0003057706 - actual$covM1$Item14[5, ] -0.0177151590 0.008022970 0.0006728889 0.0003058189 0.0053586182 + expected$covM1$Item14[5, ] -0.0177156022 0.008023146 0.0006729786 0.0003057706 0.0053587454 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.188236906 -0.054552810 -0.0142410655 0.0064748047 -0.085510546 + expected$covM1$Item15[1, ] 0.188236915 -0.054552813 -0.0142410660 0.0064748053 -0.085510550 - actual$covM1$Item15[2, ] -0.054552810 0.020497166 0.0028843201 -0.0062397888 0.025359905 + expected$covM1$Item15[2, ] -0.054552813 0.020497167 0.0028843203 -0.0062397890 0.025359906 - actual$covM1$Item15[3, ] -0.014241065 0.002884320 0.0093444747 -0.0003460474 0.004556433 + expected$covM1$Item15[3, ] -0.014241066 0.002884320 0.0093444747 -0.0003460475 0.004556434 - actual$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460474 0.0087364918 -0.003001133 + expected$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460475 0.0087364918 -0.003001133 - actual$covM1$Item15[5, ] -0.085510546 0.025359905 0.0045564334 -0.0030011328 0.039767912 + expected$covM1$Item15[5, ] -0.085510550 0.025359906 0.0045564337 -0.0030011331 0.039767914 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.044297267 -0.021564007 -0.0064128287 -0.001938579 -0.0102238063 + expected$covM1$Item16[1, ] 0.044297508 -0.021564263 -0.0064130417 -0.001938256 -0.0102238778 - actual$covM1$Item16[2, ] -0.021564007 0.018623677 0.0017296164 -0.006306168 0.0053160943 + expected$covM1$Item16[2, ] -0.021564263 0.018623907 0.0017297317 -0.006306356 0.0053161675 - actual$covM1$Item16[3, ] -0.006412829 0.001729616 0.0144305058 -0.005175853 -0.0002275200 + expected$covM1$Item16[3, ] -0.006413042 0.001729732 0.0144304360 -0.005175775 -0.0002274572 - actual$covM1$Item16[4, ] -0.001938579 -0.006306168 -0.0051758529 0.018704238 0.0011715964 + expected$covM1$Item16[4, ] -0.001938256 -0.006306356 -0.0051757752 0.018704111 0.0011715055 - actual$covM1$Item16[5, ] -0.010223806 0.005316094 -0.0002275200 0.001171596 0.0028091592 + expected$covM1$Item16[5, ] -0.010223878 0.005316167 -0.0002274572 0.001171505 0.0028091791 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.07303824 -0.04454662 -0.020952654 0.026135640 -0.019686631 + expected$covM1$Item19[1, ] 0.07303756 -0.04454570 -0.020951625 0.026134468 -0.019687043 - actual$covM1$Item19[2, ] -0.04454662 0.03621290 0.011434469 -0.024504940 0.012515942 + expected$covM1$Item19[2, ] -0.04454570 0.03621178 0.011433663 -0.024503771 0.012516080 - actual$covM1$Item19[3, ] -0.02095265 0.01143447 0.015146958 -0.007664408 0.004279994 + expected$covM1$Item19[3, ] -0.02095162 0.01143366 0.015146315 -0.007663701 0.004279873 - actual$covM1$Item19[4, ] 0.02613564 -0.02450494 -0.007664408 0.023617680 -0.007117013 + expected$covM1$Item19[4, ] 0.02613447 -0.02450377 -0.007663701 0.023616569 -0.007116920 - actual$covM1$Item19[5, ] -0.01968663 0.01251594 0.004279994 -0.007117013 0.005814853 + expected$covM1$Item19[5, ] -0.01968704 0.01251608 0.004279873 -0.007116920 0.005815136 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.077035166 -0.043372652 -0.003913666 -0.003131662 -0.009036865 + expected$covM1$Item20[1, ] 0.077036771 -0.043373810 -0.003914429 -0.003131022 -0.009036906 - actual$covM1$Item20[2, ] -0.043372652 0.034124766 0.003157569 -0.008551209 0.004963584 + expected$covM1$Item20[2, ] -0.043373810 0.034125661 0.003158057 -0.008551688 0.004963632 - actual$covM1$Item20[3, ] -0.003913666 0.003157569 0.049859178 -0.036112465 -0.002149369 + expected$covM1$Item20[3, ] -0.003914429 0.003158057 0.049859915 -0.036113052 -0.002149283 - actual$covM1$Item20[4, ] -0.003131662 -0.008551209 -0.036112465 0.051472487 0.002149445 + expected$covM1$Item20[4, ] -0.003131022 -0.008551688 -0.036113052 0.051473174 0.002149365 - actual$covM1$Item20[5, ] -0.009036865 0.004963584 -0.002149369 0.002149445 0.001379439 + expected$covM1$Item20[5, ] -0.009036906 0.004963632 -0.002149283 0.002149365 0.001379424 ── Failure ('test-difNLR.R:90:3'): difNLR - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] 0.126421690 - 0.126421840 [1] [2] 0.821916864 - 0.821916793 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.188560897 - 0.188560839 [5] `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.1648098 0.8741076 0.0000000 0.0000000 0.0312352 `expected$nlrPAR[[19]]`: -0.1647959 0.8741101 0.0000000 0.0000000 0.0312302 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.343040215 - 0.343040109 [1] [2] 0.169509293 - 0.169509153 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.131168793 - 0.131168755 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020993 0.16690432 0.00000000 0.00000000 0.11558347 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25443618 0.13941454 0.00000000 0.00000000 0.09722468 `expected$nlrSE[[19]]`: 0.25443417 0.13941390 0.00000000 0.00000000 0.09722515 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item8`: 0.126421690 0.821916864 0.188560897 `expected$parM0$Item8`: 0.126421840 0.821916793 0.188560839 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item8`: 0.343040215 0.169509293 0.131168793 `expected$seM0$Item8`: 0.343040109 0.169509153 0.131168755 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020993 0.16690432 0.11558347 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.11767659 -0.05143602 -0.04434402 + expected$covM0$Item8[1, ] 0.11767652 -0.05143595 -0.04434399 - actual$covM0$Item8[2, ] -0.05143602 0.02873340 0.02007202 + expected$covM0$Item8[2, ] -0.05143595 0.02873335 0.02007199 - actual$covM0$Item8[3, ] -0.04434402 0.02007202 0.01720525 + expected$covM0$Item8[3, ] -0.04434399 0.02007199 0.01720524 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226379 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576920 0.82846621 0.07274199 0.11401508 0.20008980 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951087 0.22840263 0.16653676 0.17824104 0.18525774 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389673 - 0.317389648 [1] [2] 0.180970638 - 0.180970873 [2] [3] 0.126195460 - 0.126195564 [3] [4] 0.161661697 - 0.161661852 [4] [5] 0.088776082 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267628 -0.04957516 -0.009803316 0.005316378 -0.058633988 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575163 0.05216776 -0.013482952 -0.025705019 0.035057815 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803316 -0.01348295 0.027734493 0.018707553 -0.003097795 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316378 -0.02570502 0.018707553 0.031769868 -0.009151674 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633988 0.03505782 -0.003097795 -0.009151674 0.034320430 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736205 -0.045897306 -0.0097905715 -0.003091686 -0.0270592890 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897306 0.032750372 0.0029241566 -0.009602353 0.0127859120 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790571 0.002924157 0.0159252941 -0.003765777 0.0005707854 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091686 -0.009602353 -0.0037657767 0.026134504 0.0014824482 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059289 0.012785912 0.0005707854 0.001482448 0.0078811928 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 ── Failure ('test-difNLR.R:98:3'): difNLR - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: `actual$nlrPAR[[1]]`: -0.0950500 0.7675608 -1.3854130 0.1474743 0.2719928 `expected$nlrPAR[[1]]`: -0.0950318 0.7675551 -1.3853765 0.1474499 0.2719871 `actual$nlrPAR[[2]]`: 0.17747560 0.33034907 -0.45089839 0.43126028 0.15035883 `expected$nlrPAR[[2]]`: 0.17747325 0.33034970 -0.45089925 0.43126047 0.15035986 `actual$nlrPAR[[3]]`: 1.0165721 0.6805808 0.0000000 0.0000000 0.0000000 `expected$nlrPAR[[3]]`: 1.0165679 0.6805781 0.0000000 0.0000000 0.0000000 `actual$nlrPAR[[4]]`: 1.39171095 0.65744092 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[4]]`: 1.39171110 0.65744125 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[5]]`: 1.1968005 1.0464023 0.0000000 0.0000000 0.3094093 `expected$nlrPAR[[5]]`: 1.1968719 1.0463985 0.0000000 0.0000000 0.3093908 `actual$nlrPAR[[8]]`: 0.1759288 0.8545371 0.0000000 0.0000000 0.1699841 `expected$nlrPAR[[8]]`: 0.1759261 0.8545392 0.0000000 0.0000000 0.1699853 actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 0.142465671 - 0.142465809 [1] [2] 0.707851165 - 0.707851149 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.099593423 - 0.099593368 [5] `actual$nlrPAR[[12]]`: -0.53039326 1.06600482 0.00000000 0.00000000 0.25277034 `expected$nlrPAR[[12]]`: -0.53039435 1.06600537 0.00000000 0.00000000 0.25277057 actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] 0.517161361 - 0.517161486 [1] [2] 0.880409704 - 0.880409640 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.340100107 - 0.340100060 [5] `actual$nlrPAR[[14]]`: -0.41988105 0.89913322 0.00000000 0.00000000 0.05335739 `expected$nlrPAR[[14]]`: -0.41988396 0.89913696 0.00000000 0.00000000 0.05335838 `actual$nlrPAR[[17]]`: -0.4750199 0.6921094 0.0000000 0.0000000 0.0946668 `expected$nlrPAR[[17]]`: -0.4750056 0.6921186 0.0000000 0.0000000 0.0946586 actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -0.085782740 - -0.085782781 [1] [2] 0.871750163 - 0.871749674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[20]]`: -1.25973105 1.26729376 0.00000000 0.00000000 0.18778897 `expected$nlrPAR[[20]]`: -1.25973337 1.26729522 0.00000000 0.00000000 0.18778928 `actual$nlrSE[[1]]`: 0.23045570 0.14771016 0.38153463 0.25929707 0.06557576 `expected$nlrSE[[1]]`: 0.23046195 0.14771042 0.38152641 0.25928939 0.06557929 `actual$nlrSE[[2]]`: 0.37031832 0.09615123 0.17527921 0.19942657 0.16393353 `expected$nlrSE[[2]]`: 0.37031778 0.09615136 0.17527950 0.19942676 0.16393288 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.561376367 - 0.561379319 [1] [2] 0.162322332 - 0.162322355 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.396275986 - 0.396277628 [5] actual$nlrSE[[4]] | expected$nlrSE[[4]] [1] 0.786590638 - 0.786589939 [1] [2] 0.176495614 - 0.176495610 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.616507109 - 0.616506584 [5] `actual$nlrSE[[5]]`: 0.3121515 0.1896699 0.0000000 0.0000000 0.1574947 `expected$nlrSE[[5]]`: 0.3121573 0.1896687 0.0000000 0.0000000 0.1575059 `actual$nlrSE[[8]]`: 0.31461130 0.16402558 0.00000000 0.00000000 0.12542081 `expected$nlrSE[[8]]`: 0.31461036 0.16402569 0.00000000 0.00000000 0.12542001 actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.392222670 - 0.392222569 [1] [2] 0.159816994 - 0.159816927 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.172290131 - 0.172290105 [5] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.271563029 - 0.271563040 [1] [2] 0.185524692 - 0.185524778 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.060554386 - 0.060554319 [5] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.380400043 - 0.380400034 [1] [2] 0.196782418 - 0.196782426 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.142054522 - 0.142054552 [5] `actual$nlrSE[[14]]`: 0.24847625 0.14196365 0.00000000 0.00000000 0.07883860 `expected$nlrSE[[14]]`: 0.24847538 0.14196380 0.00000000 0.00000000 0.07883802 `actual$nlrSE[[17]]`: 0.3731276 0.1613588 0.0000000 0.0000000 0.1155512 `expected$nlrSE[[17]]`: 0.3731176 0.1613565 0.0000000 0.0000000 0.1155499 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211097181 - 0.211097192 [1] [2] 0.130432714 - 0.130432711 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.068716094 - 0.068716096 [5] actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.244974713 - 0.244974837 [1] [2] 0.134093612 - 0.134093562 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.101332803 - 0.101332861 [5] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.255781828 - 0.255781919 [1] [2] 0.184592886 - 0.184593058 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.036209298 - 0.036209230 [5] `actual$parM0$Item2`: -0.492241 0.673369 0.294336 `expected$parM0$Item2`: -0.492198 0.673352 0.294326 `actual$parM0$Item3`: 1.0165721 0.6805808 0.0000000 `expected$parM0$Item3`: 1.0165679 0.6805781 0.0000000 `actual$parM0$Item4`: 1.39171095 0.65744092 0.00000000 `expected$parM0$Item4`: 1.39171110 0.65744125 0.00000000 `actual$parM0$Item5`: 1.1968005 1.0464023 0.3094093 `expected$parM0$Item5`: 1.1968719 1.0463985 0.3093908 `actual$parM0$Item8`: 0.1759288 0.8545371 0.1699841 `expected$parM0$Item8`: 0.1759261 0.8545392 0.1699853 `actual$parM0$Item9`: 0.142465671 0.707851165 0.099593423 `expected$parM0$Item9`: 0.142465809 0.707851149 0.099593368 `actual$parM0$Item12`: -0.53039326 1.06600482 0.25277034 `expected$parM0$Item12`: -0.53039435 1.06600537 0.25277057 `actual$parM0$Item13`: 0.517161361 0.880409704 0.340100107 `expected$parM0$Item13`: 0.517161486 0.880409640 0.340100060 `actual$parM0$Item14`: -0.41988105 0.89913322 0.05335739 `expected$parM0$Item14`: -0.41988396 0.89913696 0.05335838 `actual$parM0$Item17`: -0.4750199 0.6921094 0.0946668 `expected$parM0$Item17`: -0.4750056 0.6921186 0.0946586 `actual$parM0$Item19`: -0.085782740 0.871750163 0.000000000 `expected$parM0$Item19`: -0.085782781 0.871749674 0.000000000 `actual$parM0$Item20`: -1.25973105 1.26729376 0.18778897 `expected$parM0$Item20`: -1.25973337 1.26729522 0.18778928 `actual$seM0$Item2`: 0.5038712 0.2120810 0.1208776 `expected$seM0$Item2`: 0.5038819 0.2120789 0.1208859 `actual$seM0$Item3`: 0.561376367 0.162322332 0.396275986 `expected$seM0$Item3`: 0.561379319 0.162322355 0.396277628 `actual$seM0$Item4`: 0.786590638 0.176495614 0.616507109 `expected$seM0$Item4`: 0.786589939 0.176495610 0.616506584 `actual$seM0$Item5`: 0.3121515 0.1896699 0.1574947 `expected$seM0$Item5`: 0.3121573 0.1896687 0.1575059 `actual$seM0$Item8`: 0.31461130 0.16402558 0.12542081 `expected$seM0$Item8`: 0.31461036 0.16402569 0.12542001 `actual$seM0$Item9`: 0.392222670 0.159816994 0.172290131 `expected$seM0$Item9`: 0.392222569 0.159816927 0.172290105 `actual$seM0$Item12`: 0.271563029 0.185524692 0.060554386 `expected$seM0$Item12`: 0.271563040 0.185524778 0.060554319 `actual$seM0$Item13`: 0.380400043 0.196782418 0.142054522 `expected$seM0$Item13`: 0.380400034 0.196782426 0.142054552 `actual$seM0$Item14`: 0.24847625 0.14196365 0.07883860 `expected$seM0$Item14`: 0.24847538 0.14196380 0.07883802 `actual$seM0$Item17`: 0.3731276 0.1613588 0.1155512 `expected$seM0$Item17`: 0.3731176 0.1613565 0.1155499 `actual$seM0$Item18`: 0.211097181 0.130432714 0.068716094 `expected$seM0$Item18`: 0.211097192 0.130432711 0.068716096 `actual$seM0$Item19`: 0.244974713 0.134093612 0.101332803 `expected$seM0$Item19`: 0.244974837 0.134093562 0.101332861 `actual$seM0$Item20`: 0.255781828 0.184592886 0.036209298 `expected$seM0$Item20`: 0.255781919 0.184593058 0.036209230 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.25388614 -0.09882608 -0.06027589 + expected$covM0$Item2[1, ] 0.25389693 -0.09882746 -0.06028137 - actual$covM0$Item2[2, ] -0.09882608 0.04497835 0.02358807 + expected$covM0$Item2[2, ] -0.09882746 0.04497747 0.02358955 - actual$covM0$Item2[3, ] -0.06027589 0.02358807 0.01461140 + expected$covM0$Item2[3, ] -0.06028137 0.02358955 0.01461340 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.31514343 -0.08306081 -0.22132749 + expected$covM0$Item3[1, ] 0.31514674 -0.08306132 -0.22132959 - actual$covM0$Item3[2, ] -0.08306081 0.02634854 0.06001011 + expected$covM0$Item3[2, ] -0.08306132 0.02634855 0.06001039 - actual$covM0$Item3[3, ] -0.22132749 0.06001011 0.15703466 + expected$covM0$Item3[3, ] -0.22132959 0.06001039 0.15703596 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.6187248 -0.1277062 -0.4833249 + expected$covM0$Item4[1, ] 0.6187237 -0.1277061 -0.4833241 - actual$covM0$Item4[2, ] -0.1277062 0.0311507 0.1021376 + expected$covM0$Item4[2, ] -0.1277061 0.0311507 0.1021375 - actual$covM0$Item4[3, ] -0.4833249 0.1021376 0.3800810 + expected$covM0$Item4[3, ] -0.4833241 0.1021375 0.3800804 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] - actual$covM0$Item5[1, ] 0.09743854 -0.04563642 -0.04735315 + expected$covM0$Item5[1, ] 0.09744219 -0.04563701 -0.04735744 - actual$covM0$Item5[2, ] -0.04563642 0.03597466 0.02629826 + expected$covM0$Item5[2, ] -0.04563701 0.03597422 0.02630002 - actual$covM0$Item5[3, ] -0.04735315 0.02629826 0.02480457 + expected$covM0$Item5[3, ] -0.04735744 0.02630002 0.02480811 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.09898027 -0.04505290 -0.03880027 + expected$covM0$Item8[1, ] 0.09897968 -0.04505277 -0.03879990 - actual$covM0$Item8[2, ] -0.04505290 0.02690439 0.01843049 + expected$covM0$Item8[2, ] -0.04505277 0.02690443 0.01843037 - actual$covM0$Item8[3, ] -0.03880027 0.01843049 0.01573038 + expected$covM0$Item8[3, ] -0.03879990 0.01843037 0.01573018 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] - actual$covM0$Item9[1, ] 0.15383862 -0.05695754 -0.06697651 + expected$covM0$Item9[1, ] 0.15383854 -0.05695750 -0.06697649 - actual$covM0$Item9[2, ] -0.05695754 0.02554147 0.02534783 + expected$covM0$Item9[2, ] -0.05695750 0.02554145 0.02534782 - actual$covM0$Item9[3, ] -0.06697651 0.02534783 0.02968389 + expected$covM0$Item9[3, ] -0.06697649 0.02534782 0.02968388 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.07374648 -0.043458767 -0.015817356 + expected$covM0$Item12[1, ] 0.07374648 -0.043458788 -0.015817338 - actual$covM0$Item12[2, ] -0.04345877 0.034419411 0.009491804 + expected$covM0$Item12[2, ] -0.04345879 0.034419443 0.009491796 - actual$covM0$Item12[3, ] -0.01581736 0.009491804 0.003666834 + expected$covM0$Item12[3, ] -0.01581734 0.009491796 0.003666825 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] - actual$covM0$Item13[1, ] 0.14470419 -0.06411145 -0.05308457 + expected$covM0$Item13[1, ] 0.14470419 -0.06411146 -0.05308458 - actual$covM0$Item13[2, ] -0.06411145 0.03872332 0.02506125 + expected$covM0$Item13[2, ] -0.06411146 0.03872332 0.02506126 - actual$covM0$Item13[3, ] -0.05308457 0.02506125 0.02017949 + expected$covM0$Item13[3, ] -0.05308458 0.02506126 0.02017950 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] - actual$covM0$Item14[1, ] 0.06174045 -0.031191586 -0.019131441 + expected$covM0$Item14[1, ] 0.06174001 -0.031191489 -0.019131226 - actual$covM0$Item14[2, ] -0.03119159 0.020153679 0.009830175 + expected$covM0$Item14[2, ] -0.03119149 0.020153719 0.009830104 - actual$covM0$Item14[3, ] -0.01913144 0.009830175 0.006215525 + expected$covM0$Item14[3, ] -0.01913123 0.009830104 0.006215433 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.13922421 -0.05547218 -0.04263383 + expected$covM0$Item17[1, ] 0.13921674 -0.05546980 -0.04263220 - actual$covM0$Item17[2, ] -0.05547218 0.02603666 0.01709334 + expected$covM0$Item17[2, ] -0.05546980 0.02603592 0.01709288 - actual$covM0$Item17[3, ] -0.04263383 0.01709334 0.01335208 + expected$covM0$Item17[3, ] -0.04263220 0.01709288 0.01335178 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04456202 -0.024053316 -0.014090872 + expected$covM0$Item18[1, ] 0.04456202 -0.024053317 -0.014090873 - actual$covM0$Item18[2, ] -0.02405332 0.017012693 0.007756721 + expected$covM0$Item18[2, ] -0.02405332 0.017012692 0.007756721 actual$covM0$Item18[3, ] -0.01409087 0.007756721 0.004721902 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06001261 -0.02881973 -0.02435262 + expected$covM0$Item19[1, ] 0.06001267 -0.02881973 -0.02435265 - actual$covM0$Item19[2, ] -0.02881973 0.01798110 0.01207762 + expected$covM0$Item19[2, ] -0.02881973 0.01798108 0.01207762 - actual$covM0$Item19[3, ] -0.02435262 0.01207762 0.01026834 + expected$covM0$Item19[3, ] -0.02435265 0.01207762 0.01026835 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.065424344 -0.041787111 -0.008554947 + expected$covM0$Item20[1, ] 0.065424390 -0.041787167 -0.008554931 - actual$covM0$Item20[2, ] -0.041787111 0.034074533 0.005282492 + expected$covM0$Item20[2, ] -0.041787167 0.034074597 0.005282484 - actual$covM0$Item20[3, ] -0.008554947 0.005282492 0.001311113 + expected$covM0$Item20[3, ] -0.008554931 0.005282484 0.001311108 `actual$parM1$Item1`: -0.0950500 0.7675608 -1.3854130 0.1474743 0.2719928 `expected$parM1$Item1`: -0.0950318 0.7675551 -1.3853765 0.1474499 0.2719871 `actual$parM1$Item2`: 0.17747560 0.33034907 -0.45089839 0.43126028 0.15035883 `expected$parM1$Item2`: 0.17747325 0.33034970 -0.45089925 0.43126047 0.15035986 `actual$parM1$Item3`: 1.01369487 0.67988511 0.00565051 0.00104043 0.00000000 `expected$parM1$Item3`: 1.01369410 0.67988372 0.00565186 0.00104274 0.00000000 `actual$parM1$Item5`: 1.3629079 1.1253497 -0.2136835 -0.1836378 0.2851069 `expected$parM1$Item5`: 1.3627663 1.1254068 -0.2136888 -0.1836148 0.2851816 `actual$parM1$Item10`: 0.17943969 0.70636405 0.02973195 -0.06106847 0.06867068 `expected$parM1$Item10`: 0.17944634 0.70636043 0.02973153 -0.06106686 0.06866758 actual$parM1$Item12 | expected$parM1$Item12 [1] -0.48939832 - -0.48941353 [1] [2] 0.99686609 - 0.99687815 [2] [3] -0.00751772 - -0.00751843 [3] [4] 0.09181186 - 0.09180946 [4] [5] 0.24421166 - 0.24421527 [5] `actual$parM1$Item13`: 0.6211551 0.6973605 0.1465248 0.2379825 0.2686918 `expected$parM1$Item13`: 0.6211978 0.6973566 0.1465234 0.2379552 0.2686729 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.42472045 - -0.42471865 [1] [2] 0.93061897 - 0.93061854 [2] [3] 0.04522307 - 0.04522363 [3] [4] -0.08015722 - -0.08015824 [4] [5] 0.04811016 - 0.04810951 [5] `actual$parM1$Item17`: -0.5549889 0.7173053 0.1348331 -0.0442820 0.0984422 `expected$parM1$Item17`: -0.5549594 0.7172935 0.1348299 -0.0442795 0.0984338 actual$parM1$Item19 | expected$parM1$Item19 [1] -0.138452239 - -0.138453420 [1] [2] 0.991225098 - 0.991225705 [2] [3] 0.064397463 - 0.064397656 [3] [4] -0.209346522 - -0.209346606 [4] [5] 0.008790044 - 0.008790492 [5] actual$parM1$Item20 | expected$parM1$Item20 [1] -0.976892794 - -0.976893389 [1] [2] 1.117935526 - 1.117935456 [2] [3] -0.419267141 - -0.419267083 [3] [4] 0.218094325 - 0.218094691 [4] [5] 0.175380757 - 0.175380840 [5] `actual$seM1$Item1`: 0.23045570 0.14771016 0.38153463 0.25929707 0.06557576 `expected$seM1$Item1`: 0.23046195 0.14771042 0.38152641 0.25928939 0.06557929 `actual$seM1$Item2`: 0.37031832 0.09615123 0.17527921 0.19942657 0.16393353 `expected$seM1$Item2`: 0.37031778 0.09615136 0.17527950 0.19942676 0.16393288 actual$seM1$Item3 | expected$seM1$Item3 [1] 0.564673557 - 0.564674087 [1] [2] 0.174822180 - 0.174822109 [2] [3] 0.113252781 - 0.113252466 [3] [4] 0.117237609 - 0.117236851 [4] [5] 0.397086911 - 0.397087291 [5] `actual$seM1$Item5`: 0.3155939 0.2275056 0.1714726 0.1809353 0.1689482 `expected$seM1$Item5`: 0.3155618 0.2275156 0.1714786 0.1809508 0.1689023 `actual$seM1$Item10`: 0.42069160 0.18007304 0.10141324 0.12184142 0.19374685 `expected$seM1$Item10`: 0.42069389 0.18007254 0.10141286 0.12184073 0.19374938 `actual$seM1$Item12`: 0.28091162 0.20173196 0.14450045 0.19274180 0.06364481 `expected$seM1$Item12`: 0.28091097 0.20173397 0.14450228 0.19274431 0.06364346 `actual$seM1$Item13`: 0.42678284 0.17186944 0.13572401 0.16560677 0.18780672 `expected$seM1$Item13`: 0.42679914 0.17187031 0.13572219 0.16559988 0.18782254 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.260152049 - 0.260152196 [1] [2] 0.167126079 - 0.167126056 [2] [3] 0.106401029 - 0.106400876 [3] [4] 0.136296728 - 0.136296582 [4] [5] 0.080290403 - 0.080290613 [5] `actual$seM1$Item17`: 0.3921228 0.1878402 0.1182602 0.1336852 0.1127314 `expected$seM1$Item17`: 0.3921263 0.1878383 0.1182578 0.1336826 0.1127361 actual$seM1$Item19 | expected$seM1$Item19 [1] 0.248830906 - 0.248831216 [1] [2] 0.169914986 - 0.169915245 [2] [3] 0.098203305 - 0.098203377 [3] [4] 0.134438082 - 0.134438188 [4] [5] 0.094481052 - 0.094481002 [5] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.232092186 - 0.232092242 [1] [2] 0.184527247 - 0.184527265 [2] [3] 0.198007056 - 0.198007134 [3] [4] 0.219756138 - 0.219756197 [4] [5] 0.038219453 - 0.038219442 [5] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.05310983 -0.019746955 0.06058624 -0.034697758 -0.013813809 + expected$covM1$Item1[1, ] 0.05311271 -0.019747970 0.06058773 -0.034698036 -0.013815028 - actual$covM1$Item1[2, ] -0.01974696 0.021818292 -0.03029934 0.002146971 0.006080509 + expected$covM1$Item1[2, ] -0.01974797 0.021818367 -0.03029972 0.002147209 0.006080981 - actual$covM1$Item1[3, ] 0.06058624 -0.030299340 0.14556867 -0.073322931 -0.021579298 + expected$covM1$Item1[3, ] 0.06058773 -0.030299717 0.14556240 -0.073318252 -0.021580128 - actual$covM1$Item1[4, ] -0.03469776 0.002146971 -0.07332293 0.067234968 0.010867901 + expected$covM1$Item1[4, ] -0.03469804 0.002147209 -0.07331825 0.067230989 0.010868161 - actual$covM1$Item1[5, ] -0.01381381 0.006080509 -0.02157930 0.010867901 0.004300180 + expected$covM1$Item1[5, ] -0.01381503 0.006080981 -0.02158013 0.010868161 0.004300643 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.13713566 -0.020291531 0.043707188 -0.056503231 -0.059470292 + expected$covM1$Item2[1, ] 0.13713526 -0.020291533 0.043707184 -0.056503164 -0.059469963 - actual$covM1$Item2[2, ] -0.02029153 0.009245059 -0.008364482 0.002923693 0.009423549 + expected$covM1$Item2[2, ] -0.02029153 0.009245084 -0.008364505 0.002923694 0.009423526 - actual$covM1$Item2[3, ] 0.04370719 -0.008364482 0.030722801 -0.021992146 -0.022251304 + expected$covM1$Item2[3, ] 0.04370718 -0.008364505 0.030722904 -0.021992215 -0.022251254 - actual$covM1$Item2[4, ] -0.05650323 0.002923693 -0.021992146 0.039770956 0.025279457 + expected$covM1$Item2[4, ] -0.05650316 0.002923694 -0.021992215 0.039771032 0.025279367 - actual$covM1$Item2[5, ] -0.05947029 0.009423549 -0.022251304 0.025279457 0.026874202 + expected$covM1$Item2[5, ] -0.05946996 0.009423526 -0.022251254 0.025279367 0.026873988 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item3[1, ] 3.188562e-01 -0.083131940 -0.0057166937 5.287555e-08 -0.2219287758 + expected$covM1$Item3[1, ] 3.188568e-01 -0.083132010 -0.0057166720 -4.264033e-08 -0.2219292047 - actual$covM1$Item3[2, ] -8.313194e-02 0.030562795 -0.0034379108 -7.580351e-03 0.0613538912 + expected$covM1$Item3[2, ] -8.313201e-02 0.030562770 -0.0034378843 -7.580260e-03 0.0613539328 - actual$covM1$Item3[3, ] -5.716694e-03 -0.003437911 0.0128261925 6.078669e-03 -0.0005535250 + expected$covM1$Item3[3, ] -5.716672e-03 -0.003437884 0.0128261212 6.078587e-03 -0.0005535207 - actual$covM1$Item3[4, ] 5.287555e-08 -0.007580351 0.0060786692 1.374466e-02 -0.0022895756 + expected$covM1$Item3[4, ] -4.264033e-08 -0.007580260 0.0060785874 1.374448e-02 -0.0022894820 - actual$covM1$Item3[5, ] -2.219288e-01 0.061353891 -0.0005535250 -2.289576e-03 0.1576780149 + expected$covM1$Item3[5, ] -2.219292e-01 0.061353933 -0.0005535207 -2.289482e-03 0.1576783169 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.0995995061 -0.04196947 -0.007222726 0.0009316693 -0.048656575 + expected$covM1$Item5[1, ] 0.0995792181 -0.04196233 -0.007225561 0.0009264523 -0.048637046 - actual$covM1$Item5[2, ] -0.0419694661 0.05175882 -0.017628040 -0.0252830159 0.031391115 + expected$covM1$Item5[2, ] -0.0419623301 0.05176333 -0.017628899 -0.0252849185 0.031383069 - actual$covM1$Item5[3, ] -0.0072227263 -0.01762804 0.029402845 0.0198612973 -0.005534599 + expected$covM1$Item5[3, ] -0.0072255609 -0.01762890 0.029404904 0.0198626337 -0.005532826 - actual$covM1$Item5[4, ] 0.0009316693 -0.02528302 0.019861297 0.0327375986 -0.007317035 + expected$covM1$Item5[4, ] 0.0009264523 -0.02528492 0.019862634 0.0327432078 -0.007313550 - actual$covM1$Item5[5, ] -0.0486565746 0.03139112 -0.005534599 -0.0073170346 0.028543501 + expected$covM1$Item5[5, ] -0.0486370463 0.03138307 -0.005532826 -0.0073135497 0.028527972 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item10[1, ] 0.17698142 -0.0649552020 -0.0094121898 0.0102137929 -0.080307203 + expected$covM1$Item10[1, ] 0.17698335 -0.0649554343 -0.0094120904 0.0102136514 -0.080308713 - actual$covM1$Item10[2, ] -0.06495520 0.0324263001 0.0008082119 -0.0114708046 0.030742310 + expected$covM1$Item10[2, ] -0.06495543 0.0324261206 0.0008081642 -0.0114706413 0.030742651 - actual$covM1$Item10[3, ] -0.00941219 0.0008082119 0.0102846450 0.0008976238 0.001980643 + expected$covM1$Item10[3, ] -0.00941209 0.0008081642 0.0102845680 0.0008976557 0.001980628 - actual$covM1$Item10[4, ] 0.01021379 -0.0114708046 0.0008976238 0.0148453305 -0.005154640 + expected$covM1$Item10[4, ] 0.01021365 -0.0114706413 0.0008976557 0.0148451629 -0.005154617 - actual$covM1$Item10[5, ] -0.08030720 0.0307423099 0.0019806430 -0.0051546397 0.037537840 + expected$covM1$Item10[5, ] -0.08030871 0.0307426511 0.0019806284 -0.0051546169 0.037538822 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.078911339 -0.043598013 -0.0093231634 0.0019839160 -0.0166944744 + expected$covM1$Item12[1, ] 0.078910974 -0.043598321 -0.0093234464 0.0019843210 -0.0166940467 - actual$covM1$Item12[2, ] -0.043598013 0.040695784 0.0032426128 -0.0165630385 0.0096814184 + expected$covM1$Item12[2, ] -0.043598321 0.040696593 0.0032428639 -0.0165636486 0.0096812733 - actual$covM1$Item12[3, ] -0.009323163 0.003242613 0.0208803795 -0.0088564617 -0.0001900430 + expected$covM1$Item12[3, ] -0.009323446 0.003242864 0.0208809101 -0.0088569279 -0.0001900326 - actual$covM1$Item12[4, ] 0.001983916 -0.016563039 -0.0088564617 0.0371494033 0.0004156152 + expected$covM1$Item12[4, ] 0.001984321 -0.016563649 -0.0088569279 0.0371503701 0.0004155639 - actual$covM1$Item12[5, ] -0.016694474 0.009681418 -0.0001900430 0.0004156152 0.0040506618 + expected$covM1$Item12[5, ] -0.016694047 0.009681273 -0.0001900326 0.0004155639 0.0040504903 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.18214360 -0.055147697 -0.014336168 -0.025672847 -0.078334750 + expected$covM1$Item13[1, ] 0.18215751 -0.055151077 -0.014336654 -0.025670903 -0.078344523 - actual$covM1$Item13[2, ] -0.05514770 0.029539105 -0.001065868 -0.002465149 0.026241244 + expected$covM1$Item13[2, ] -0.05515108 0.029539403 -0.001065743 -0.002465563 0.026243937 - actual$covM1$Item13[3, ] -0.01433617 -0.001065868 0.018421006 0.008668532 0.002777005 + expected$covM1$Item13[3, ] -0.01433665 -0.001065743 0.018420513 0.008668443 0.002777432 - actual$covM1$Item13[4, ] -0.02567285 -0.002465149 0.008668532 0.027425602 0.010149386 + expected$covM1$Item13[4, ] -0.02567090 -0.002465563 0.008668443 0.027423321 0.010148929 - actual$covM1$Item13[5, ] -0.07833475 0.026241244 0.002777005 0.010149386 0.035271365 + expected$covM1$Item13[5, ] -0.07834452 0.026243937 0.002777432 0.010148929 0.035277306 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.067679089 -0.035427220 -0.0088073768 0.007413703 -0.0199846329 + expected$covM1$Item14[1, ] 0.067679165 -0.035427246 -0.0088073978 0.007413743 -0.0199846997 - actual$covM1$Item14[2, ] -0.035427220 0.027931126 0.0033840645 -0.012683710 0.0108773922 + expected$covM1$Item14[2, ] -0.035427246 0.027931119 0.0033840700 -0.012683717 0.0108774251 - actual$covM1$Item14[3, ] -0.008807377 0.003384065 0.0113211790 -0.003782345 0.0009940729 + expected$covM1$Item14[3, ] -0.008807398 0.003384070 0.0113211464 -0.003782317 0.0009940865 - actual$covM1$Item14[4, ] 0.007413703 -0.012683710 -0.0037823454 0.018576798 -0.0018409239 + expected$covM1$Item14[4, ] 0.007413743 -0.012683717 -0.0037823172 0.018576758 -0.0018409446 - actual$covM1$Item14[5, ] -0.019984633 0.010877392 0.0009940729 -0.001840924 0.0064465488 + expected$covM1$Item14[5, ] -0.019984700 0.010877425 0.0009940865 -0.001840945 0.0064465825 actual$covM1$Item17 vs expected$covM1$Item17 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item17[1, ] 0.15376031 -0.064320221 -0.020688651 0.013506428 -0.043248308 + expected$covM1$Item17[1, ] 0.15376302 -0.064320252 -0.020688173 0.013506047 -0.043250537 - actual$covM1$Item17[2, ] -0.06432022 0.035283930 0.007932106 -0.013751966 0.018326145 + expected$covM1$Item17[2, ] -0.06432025 0.035283217 0.007931711 -0.013751433 0.018326789 - actual$covM1$Item17[3, ] -0.02068865 0.007932106 0.013985484 -0.004858570 0.004145658 + expected$covM1$Item17[3, ] -0.02068817 0.007931711 0.013984918 -0.004858138 0.004145730 - actual$covM1$Item17[4, ] 0.01350643 -0.013751966 -0.004858570 0.017871743 -0.003394687 + expected$covM1$Item17[4, ] 0.01350605 -0.013751433 -0.004858138 0.017871025 -0.003394744 - actual$covM1$Item17[5, ] -0.04324831 0.018326145 0.004145658 -0.003394687 0.012708366 + expected$covM1$Item17[5, ] -0.04325054 0.018326789 0.004145730 -0.003394744 0.012709418 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.061916820 -0.033995629 -0.009297763 0.011445863 -0.022559511 + expected$covM1$Item19[1, ] 0.061916974 -0.033995739 -0.009297808 0.011445886 -0.022559528 - actual$covM1$Item19[2, ] -0.033995629 0.028871102 0.003012574 -0.015593392 0.013283449 + expected$covM1$Item19[2, ] -0.033995739 0.028871191 0.003012605 -0.015593422 0.013283466 - actual$covM1$Item19[3, ] -0.009297763 0.003012574 0.009643889 -0.001762179 0.001738452 + expected$covM1$Item19[3, ] -0.009297808 0.003012605 0.009643903 -0.001762197 0.001738464 - actual$covM1$Item19[4, ] 0.011445863 -0.015593392 -0.001762179 0.018073598 -0.004360636 + expected$covM1$Item19[4, ] 0.011445886 -0.015593422 -0.001762197 0.018073626 -0.004360635 - actual$covM1$Item19[5, ] -0.022559511 0.013283449 0.001738452 -0.004360636 0.008926669 + expected$covM1$Item19[5, ] -0.022559528 0.013283466 0.001738464 -0.004360635 0.008926660 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.0538667829 -0.0330202578 0.0001421147 -0.0001651625 -0.007745174 + expected$covM1$Item20[1, ] 0.0538668090 -0.0330202716 0.0001421085 -0.0001651634 -0.007745174 - actual$covM1$Item20[2, ] -0.0330202578 0.0340503047 0.0004877046 -0.0140608863 0.004665348 + expected$covM1$Item20[2, ] -0.0330202716 0.0340503117 0.0004877116 -0.0140608873 0.004665347 - actual$covM1$Item20[3, ] 0.0001421147 0.0004877046 0.0392067941 -0.0286260385 -0.002440811 + expected$covM1$Item20[3, ] 0.0001421085 0.0004877116 0.0392068249 -0.0286260662 -0.002440811 - actual$covM1$Item20[4, ] -0.0001651625 -0.0140608863 -0.0286260385 0.0482927601 0.001593365 + expected$covM1$Item20[4, ] -0.0001651634 -0.0140608873 -0.0286260662 0.0482927862 0.001593366 - actual$covM1$Item20[5, ] -0.0077451743 0.0046653479 -0.0024408112 0.0015933655 0.001460727 + expected$covM1$Item20[5, ] -0.0077451736 0.0046653468 -0.0024408107 0.0015933663 0.001460726 `actual$conv.fail`: 1 `expected$conv.fail`: 0 ── Failure ('test-difNLR.R:105:3'): difNLR - examples at help page ───────────── Expected `fit7` to equal `fit7_expected`. Differences: `actual$nlrPAR[[1]]`: -3.8478823 0.3609693 -0.7819795 -0.0207749 0.1105542 `expected$nlrPAR[[1]]`: -3.8479141 0.3609711 -0.7820284 -0.0207717 0.1105592 `actual$nlrPAR[[3]]`: -1.50442575 0.21710495 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: -1.50442470 0.21710482 0.00000000 0.00000000 0.00000000 actual$nlrPAR[[6]] | expected$nlrPAR[[6]] [1] -2.860756754 - -2.860756501 [1] [2] 0.294079146 - 0.294079133 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061526225 - 0.061526174 [5] actual$nlrPAR[[7]] | expected$nlrPAR[[7]] [1] -2.129766513 - -2.129766291 [1] [2] 0.231768207 - 0.231768187 [2] [3] 0.491043277 - 0.491042882 [3] [4] -0.020552534 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[8]]`: -2.9441516 0.2646362 0.0000000 0.0000000 0.1885606 `expected$nlrPAR[[8]]`: -2.9441293 0.2646350 0.0000000 0.0000000 0.1885574 `actual$nlrPAR[[12]]`: -3.69708888 0.28906317 0.00000000 0.00000000 0.20920290 `expected$nlrPAR[[12]]`: -3.69708539 0.28906297 0.00000000 0.00000000 0.20920259 actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -3.761189285 - -3.761189457 [1] [2] 0.283317057 - 0.283317067 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.071987400 - 0.071987417 [5] `actual$nlrPAR[[15]]`: -2.13321085 0.19220963 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[15]]`: -2.13320915 0.19220947 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[17]]`: -3.0787915 0.2204804 0.0000000 0.0000000 0.1095429 `expected$nlrPAR[[17]]`: -3.0787600 0.2204790 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -4.318486592 - -4.318486900 [1] [2] 0.326161178 - 0.326161197 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234264 - 0.029234292 [5] `actual$nlrPAR[[20]]`: -6.0640330 0.4059122 0.0000000 0.0000000 0.2041045 `expected$nlrPAR[[20]]`: -6.0639790 0.4059089 0.0000000 0.0000000 0.2041026 `actual$nlrSE[[1]]`: 0.65707772 0.04822281 0.70992666 0.05500992 0.06621477 `expected$nlrSE[[1]]`: 0.65707729 0.04822294 0.70993948 0.05501078 0.06621312 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 1.175518735 - 1.175519268 [1] [2] 0.053096139 - 0.053096140 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412911046 - 0.412911344 [5] actual$nlrSE[[6]] | expected$nlrSE[[6]] [1] 0.800032077 - 0.800031842 [1] [2] 0.047732091 - 0.047732076 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.147258537 - 0.147258520 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 1.112354894 - 1.112354869 [1] [2] 0.058267619 - 0.058267613 [2] [3] 0.456091983 - 0.456091925 [3] [4] 0.039381408 - 0.039381404 [4] [5] 0.279594346 - 0.279594362 [5] `actual$nlrSE[[8]]`: 0.95027196 0.05457764 0.00000000 0.00000000 0.13116891 `expected$nlrSE[[8]]`: 0.95027179 0.05457749 0.00000000 0.00000000 0.13117072 actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.933424390 - 0.933424395 [1] [2] 0.056108482 - 0.056108466 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.085355876 - 0.085356029 [5] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.793606682 - 0.793606758 [1] [2] 0.047284327 - 0.047284332 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.079848859 - 0.079848857 [5] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 1.034552523 - 1.034553480 [1] [2] 0.050021205 - 0.050021228 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013205 - 0.230013543 [5] `actual$nlrSE[[17]]`: 0.99559379 0.05373895 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.99559297 0.05373873 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.699329966 - 0.699330191 [1] [2] 0.043735932 - 0.043735945 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792805 - 0.061792814 [5] `actual$nlrSE[[20]]`: 0.96906217 0.06185550 0.00000000 0.00000000 0.03542075 `expected$nlrSE[[20]]`: 0.96905716 0.06185512 0.00000000 0.00000000 0.03542120 `actual$parM0$Item1`: -3.5092425 0.3005453 0.0572135 `expected$parM0$Item1`: -3.5092032 0.3005430 0.0572084 `actual$parM0$Item2`: -4.0065778 0.3426699 0.1509947 `expected$parM0$Item2`: -4.0066112 0.3426718 0.1509981 `actual$parM0$Item3`: -1.50442575 0.21710495 0.00000000 `expected$parM0$Item3`: -1.50442470 0.21710482 0.00000000 `actual$parM0$Item6`: -2.860756754 0.294079146 0.061526225 `expected$parM0$Item6`: -2.860756501 0.294079133 0.061526174 `actual$parM0$Item8`: -2.9441516 0.2646362 0.1885606 `expected$parM0$Item8`: -2.9441293 0.2646350 0.1885574 `actual$parM0$Item12`: -3.69708888 0.28906317 0.20920290 `expected$parM0$Item12`: -3.69708539 0.28906297 0.20920259 `actual$parM0$Item14`: -3.761189285 0.283317057 0.071987400 `expected$parM0$Item14`: -3.761189457 0.283317067 0.071987417 `actual$parM0$Item15`: -2.13321085 0.19220963 0.00000000 `expected$parM0$Item15`: -2.13320915 0.19220947 0.00000000 `actual$parM0$Item17`: -3.0787915 0.2204804 0.1095429 `expected$parM0$Item17`: -3.0787600 0.2204790 0.1095386 `actual$parM0$Item18`: -4.318486592 0.326161178 0.029234264 `expected$parM0$Item18`: -4.318486900 0.326161197 0.029234292 `actual$parM0$Item19`: -3.43036259 0.28144039 0.03123523 `expected$parM0$Item19`: -3.43035802 0.28144119 0.03123022 `actual$parM0$Item20`: -6.0640330 0.4059122 0.2041045 `expected$parM0$Item20`: -6.0639790 0.4059089 0.2041026 `actual$seM0$Item1`: 0.75297066 0.04603342 0.09628544 `expected$seM0$Item1`: 0.75296949 0.04603320 0.09628737 `actual$seM0$Item2`: 0.79465951 0.05126671 0.07846187 `expected$seM0$Item2`: 0.79466143 0.05126694 0.07846072 `actual$seM0$Item3`: 1.175518735 0.053096139 0.412911046 `expected$seM0$Item3`: 1.175519268 0.053096140 0.412911344 `actual$seM0$Item6`: 0.800032077 0.047732091 0.147258537 `expected$seM0$Item6`: 0.800031842 0.047732076 0.147258520 `actual$seM0$Item8`: 0.95027196 0.05457764 0.13116891 `expected$seM0$Item8`: 0.95027179 0.05457749 0.13117072 `actual$seM0$Item12`: 0.933424390 0.056108482 0.085355876 `expected$seM0$Item12`: 0.933424395 0.056108466 0.085356029 `actual$seM0$Item14`: 0.793606682 0.047284327 0.079848859 `expected$seM0$Item14`: 0.793606758 0.047284332 0.079848857 `actual$seM0$Item15`: 1.034552523 0.050021205 0.230013205 `expected$seM0$Item15`: 1.034553480 0.050021228 0.230013543 `actual$seM0$Item17`: 0.99559379 0.05373895 0.11558346 `expected$seM0$Item17`: 0.99559297 0.05373873 0.11558571 `actual$seM0$Item18`: 0.699329966 0.043735932 0.061792805 `expected$seM0$Item18`: 0.699330191 0.043735945 0.061792814 `actual$seM0$Item19`: 0.75477497 0.04488796 0.09722470 `expected$seM0$Item19`: 0.75476994 0.04488771 0.09722515 `actual$seM0$Item20`: 0.96906217 0.06185550 0.03542075 `expected$seM0$Item20`: 0.96905716 0.06185512 0.03542120 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.56696481 -0.034202903 -0.068082674 + expected$covM0$Item1[1, ] 0.56696306 -0.034202683 -0.068084027 - actual$covM0$Item1[2, ] -0.03420290 0.002119076 0.003905171 + expected$covM0$Item1[2, ] -0.03420268 0.002119056 0.003905237 - actual$covM0$Item1[3, ] -0.06808267 0.003905171 0.009270886 + expected$covM0$Item1[3, ] -0.06808403 0.003905237 0.009271257 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.63148373 -0.040225108 -0.057314597 + expected$covM0$Item2[1, ] 0.63148679 -0.040225389 -0.057313824 - actual$covM0$Item2[2, ] -0.04022511 0.002628275 0.003450945 + expected$covM0$Item2[2, ] -0.04022539 0.002628299 0.003450905 - actual$covM0$Item2[3, ] -0.05731460 0.003450945 0.006156265 + expected$covM0$Item2[3, ] -0.05731382 0.003450905 0.006156085 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 1.38184430 -0.06114684 -0.47841434 + expected$covM0$Item3[1, ] 1.38184555 -0.06114687 -0.47841491 - actual$covM0$Item3[2, ] -0.06114684 0.00281920 0.02050533 + expected$covM0$Item3[2, ] -0.06114687 0.00281920 0.02050535 - actual$covM0$Item3[3, ] -0.47841434 0.02050533 0.17049553 + expected$covM0$Item3[3, ] -0.47841491 0.02050535 0.17049578 actual$covM0$Item6 vs expected$covM0$Item6 [,1] [,2] [,3] - actual$covM0$Item6[1, ] 0.64005132 -0.037549103 -0.112527497 + expected$covM0$Item6[1, ] 0.64005095 -0.037549080 -0.112527448 - actual$covM0$Item6[2, ] -0.03754910 0.002278352 0.006281254 + expected$covM0$Item6[2, ] -0.03754908 0.002278351 0.006281251 - actual$covM0$Item6[3, ] -0.11252750 0.006281254 0.021685077 + expected$covM0$Item6[3, ] -0.11252745 0.006281251 0.021685072 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.90301679 -0.051123158 -0.119330533 + expected$covM0$Item8[1, ] 0.90301648 -0.051123005 -0.119332236 - actual$covM0$Item8[2, ] -0.05112316 0.002978719 0.006462680 + expected$covM0$Item8[2, ] -0.05112300 0.002978703 0.006462757 - actual$covM0$Item8[3, ] -0.11933053 0.006462680 0.017205282 + expected$covM0$Item8[3, ] -0.11933224 0.006462757 0.017205757 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.87128109 -0.051748364 -0.074640016 + expected$covM0$Item12[1, ] 0.87128110 -0.051748350 -0.074640161 - actual$covM0$Item12[2, ] -0.05174836 0.003148162 0.004224626 + expected$covM0$Item12[2, ] -0.05174835 0.003148160 0.004224633 - actual$covM0$Item12[3, ] -0.07464002 0.004224626 0.007285626 + expected$covM0$Item12[3, ] -0.07464016 0.004224633 0.007285652 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] - actual$covM0$Item14[1, ] 0.62981157 -0.037094873 -0.059352624 + expected$covM0$Item14[1, ] 0.62981169 -0.037094881 -0.059352628 - actual$covM0$Item14[2, ] -0.03709487 0.002235808 0.003335018 + expected$covM0$Item14[2, ] -0.03709488 0.002235808 0.003335019 - actual$covM0$Item14[3, ] -0.05935262 0.003335018 0.006375840 + expected$covM0$Item14[3, ] -0.05935263 0.003335019 0.006375840 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 1.07029892 -0.051059457 -0.23342173 + expected$covM0$Item15[1, ] 1.07030090 -0.051059528 -0.23342230 - actual$covM0$Item15[2, ] -0.05105946 0.002502121 0.01081663 + expected$covM0$Item15[2, ] -0.05105953 0.002502123 0.01081665 - actual$covM0$Item15[3, ] -0.23342173 0.010816632 0.05290607 + expected$covM0$Item15[3, ] -0.23342230 0.010816654 0.05290623 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.99120700 -0.052906001 -0.110883410 + expected$covM0$Item17[1, ] 0.99120536 -0.052905743 -0.110885568 - actual$covM0$Item17[2, ] -0.05290600 0.002887875 0.005711587 + expected$covM0$Item17[2, ] -0.05290574 0.002887852 0.005711681 - actual$covM0$Item17[3, ] -0.11088341 0.005711587 0.013359536 + expected$covM0$Item17[3, ] -0.11088557 0.005711681 0.013360056 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.48906240 -0.030252560 -0.039490274 + expected$covM0$Item18[1, ] 0.48906272 -0.030252579 -0.039490295 - actual$covM0$Item18[2, ] -0.03025256 0.001912832 0.002316727 + expected$covM0$Item18[2, ] -0.03025258 0.001912833 0.002316728 - actual$covM0$Item18[3, ] -0.03949027 0.002316727 0.003818351 + expected$covM0$Item18[3, ] -0.03949029 0.002316728 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.56968525 -0.033448962 -0.069293632 + expected$covM0$Item19[1, ] 0.56967766 -0.033448548 -0.069293485 - actual$covM0$Item19[2, ] -0.03344896 0.002014929 0.003881098 + expected$covM0$Item19[2, ] -0.03344855 0.002014907 0.003881092 - actual$covM0$Item19[3, ] -0.06929363 0.003881098 0.009452643 + expected$covM0$Item19[3, ] -0.06929348 0.003881092 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.93908149 -0.059453846 -0.029016588 + expected$covM0$Item20[1, ] 0.93907179 -0.059453172 -0.029016892 - actual$covM0$Item20[2, ] -0.05945385 0.003826103 0.001733145 + expected$covM0$Item20[2, ] -0.05945317 0.003826056 0.001733162 - actual$covM0$Item20[3, ] -0.02901659 0.001733145 0.001254629 + expected$covM0$Item20[3, ] -0.02901689 0.001733162 0.001254661 `actual$parM1$Item1`: -3.8478823 0.3609693 -0.7819795 -0.0207749 0.1105542 `expected$parM1$Item1`: -3.8479141 0.3609711 -0.7820284 -0.0207717 0.1105592 actual$parM1$Item4 | expected$parM1$Item4 [1] -0.896087816 - -0.896087752 [1] [2] 0.187019030 - 0.187019025 [2] [3] -0.186268826 - -0.186268972 [3] [4] 0.036040311 - 0.036040325 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: -2.7958770 0.3555762 0.5956864 -0.0596101 0.2681124 `expected$parM1$Item5`: -2.7959261 0.3555784 0.5956690 -0.0596084 0.2681243 actual$parM1$Item6 | expected$parM1$Item6 [1] -2.765638706 - -2.765638638 [1] [2] 0.287085848 - 0.287085835 [2] [3] -0.161355944 - -0.161356361 [3] [4] 0.012414614 - 0.012414657 [4] [5] 0.058681823 - 0.058681846 [5] actual$parM1$Item7 | expected$parM1$Item7 [1] -2.129766513 - -2.129766291 [1] [2] 0.231768207 - 0.231768187 [2] [3] 0.491043277 - 0.491042882 [3] [4] -0.020552534 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] actual$parM1$Item9 | expected$parM1$Item9 [1] -2.290274718 - -2.290273162 [1] [2] 0.217155694 - 0.217155620 [2] [3] 0.277064738 - 0.277064638 [3] [4] -0.021873580 - -0.021873572 [4] [5] 0.053448573 - 0.053448232 [5] actual$parM1$Item12 | expected$parM1$Item12 [1] -3.44086124 - -3.44082093 [1] [2] 0.26674774 - 0.26674559 [2] [3] -0.35320549 - -0.35319883 [3] [4] 0.03671021 - 0.03670959 [4] [5] 0.20009474 - 0.20009046 [5] actual$parM1$Item13 | expected$parM1$Item13 [1] -1.69565769 - -1.69566366 [1] [2] 0.20592371 - 0.20592301 [2] [3] -0.76044139 - -0.76049359 [3] [4] 0.08549168 - 0.08549628 [4] [5] 0.21821907 - 0.21822605 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -4.59738257 - -4.59740927 [1] [2] 0.34193889 - 0.34194054 [2] [3] 0.42648852 - 0.42650006 [3] [4] -0.02331321 - -0.02331403 [4] [5] 0.03383312 - 0.03383493 [5] actual$parM1$Item20 | expected$parM1$Item20 [1] -5.176167006 - -5.176160039 [1] [2] 0.349873359 - 0.349872913 [2] [3] -1.533304814 - -1.533305247 [3] [4] 0.098965261 - 0.098965302 [4] [5] 0.196357670 - 0.196357445 [5] `actual$seM1$Item1`: 0.65707772 0.04822281 0.70992666 0.05500992 0.06621477 `expected$seM1$Item1`: 0.65707729 0.04822294 0.70993948 0.05501078 0.06621312 actual$seM1$Item4 | expected$seM1$Item4 [1] 1.525363485 - 1.525363234 [1] [2] 0.058440949 - 0.058440940 [2] [3] 0.400298100 - 0.400298181 [3] [4] 0.039844659 - 0.039844670 [4] [5] 0.683551545 - 0.683551452 [5] `actual$seM1$Item5`: 1.10171294 0.07353995 0.57564057 0.05738923 0.18525611 `expected$seM1$Item5`: 1.10171151 0.07354035 0.57564807 0.05738985 0.18524855 actual$seM1$Item6 | expected$seM1$Item6 [1] 0.812904466 - 0.812904715 [1] [2] 0.050646083 - 0.050646097 [2] [3] 0.473809295 - 0.473809386 [3] [4] 0.042832466 - 0.042832471 [4] [5] 0.148477253 - 0.148477291 [5] actual$seM1$Item7 | expected$seM1$Item7 [1] 1.112354894 - 1.112354869 [1] [2] 0.058267619 - 0.058267613 [2] [3] 0.456091983 - 0.456091925 [3] [4] 0.039381408 - 0.039381404 [4] [5] 0.279594346 - 0.279594362 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 1.106076330 - 1.106075897 [1] [2] 0.058189935 - 0.058189893 [2] [3] 0.438636888 - 0.438636645 [3] [4] 0.037649369 - 0.037649352 [4] [5] 0.225906353 - 0.225906565 [5] `actual$seM1$Item12`: 0.94908602 0.05826841 0.63939570 0.05205164 0.08877387 `expected$seM1$Item12`: 0.94908357 0.05826806 0.63938713 0.05205103 0.08877580 `actual$seM1$Item13`: 1.02252767 0.05207490 0.54547896 0.05138999 0.23524294 `expected$seM1$Item13`: 1.02251343 0.05207443 0.54549017 0.05139094 0.23523570 `actual$seM1$Item18`: 0.80615498 0.05259308 0.58653492 0.04621512 0.05998347 `expected$seM1$Item18`: 0.80615771 0.05259332 0.58653861 0.04621537 0.05998298 actual$seM1$Item20 | expected$seM1$Item20 [1] 0.904156766 - 0.904155836 [1] [2] 0.060013219 - 0.060013149 [2] [3] 1.052211150 - 1.052209813 [3] [4] 0.076472382 - 0.076472294 [4] [5] 0.036048490 - 0.036048545 [5] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.431751129 -0.0308999659 -0.002508681 0.0055275948 -0.033747331 + expected$covM1$Item1[1, ] 0.431750565 -0.0309000315 -0.002509236 0.0055276442 -0.033746223 - actual$covM1$Item1[2, ] -0.030899966 0.0023254395 0.004452941 -0.0007621652 0.002079283 + expected$covM1$Item1[2, ] -0.030900031 0.0023254515 0.004453023 -0.0007621730 0.002079219 - actual$covM1$Item1[3, ] -0.002508681 0.0044529408 0.503995861 -0.0380305101 -0.022019127 + expected$covM1$Item1[3, ] -0.002509236 0.0044530233 0.504014072 -0.0380318167 -0.022019128 - actual$covM1$Item1[4, ] 0.005527595 -0.0007621652 -0.038030510 0.0030260911 0.001217053 + expected$covM1$Item1[4, ] 0.005527644 -0.0007621730 -0.038031817 0.0030261861 0.001217062 - actual$covM1$Item1[5, ] -0.033747331 0.0020792830 -0.022019127 0.0012170529 0.004384396 + expected$covM1$Item1[5, ] -0.033746223 0.0020792188 -0.022019128 0.0012170623 0.004384177 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 2.326733762 -0.0853641583 -0.033790400 -0.0026252958 -1.026255107 + expected$covM1$Item4[1, ] 2.326732994 -0.0853641286 -0.033790314 -0.0026252989 -1.026254792 - actual$covM1$Item4[2, ] -0.085364158 0.0034153446 0.005381553 -0.0003460904 0.035797900 + expected$covM1$Item4[2, ] -0.085364129 0.0034153434 0.005381551 -0.0003460905 0.035797888 - actual$covM1$Item4[3, ] -0.033790400 0.0053815526 0.160238569 -0.0153043249 -0.017696899 + expected$covM1$Item4[3, ] -0.033790314 0.0053815506 0.160238634 -0.0153043326 -0.017696945 - actual$covM1$Item4[4, ] -0.002625296 -0.0003460904 -0.015304325 0.0015875969 0.004262735 + expected$covM1$Item4[4, ] -0.002625299 -0.0003460905 -0.015304333 0.0015875977 0.004262737 - actual$covM1$Item4[5, ] -1.026255107 0.0357979000 -0.017696899 0.0042627348 0.467242715 + expected$covM1$Item4[5, ] -1.026254792 0.0357978877 -0.017696945 0.0042627373 0.467242587 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 1.21377140 -0.078712322 -0.33805280 0.032631219 -0.189603633 + expected$covM1$Item5[1, ] 1.21376826 -0.078712681 -0.33805175 0.032631089 -0.189595094 - actual$covM1$Item5[2, ] -0.07871232 0.005408124 0.02657835 -0.002664787 0.011287633 + expected$covM1$Item5[2, ] -0.07871268 0.005408184 0.02657852 -0.002664801 0.011287192 - actual$covM1$Item5[3, ] -0.33805280 0.026578351 0.33136206 -0.032191386 0.031091323 + expected$covM1$Item5[3, ] -0.33805175 0.026578523 0.33137070 -0.032192157 0.031088967 - actual$covM1$Item5[4, ] 0.03263122 -0.002664787 -0.03219139 0.003293523 -0.002946572 + expected$covM1$Item5[4, ] 0.03263109 -0.002664801 -0.03219216 0.003293594 -0.002946348 - actual$covM1$Item5[5, ] -0.18960363 0.011287633 0.03109132 -0.002946572 0.034319825 + expected$covM1$Item5[5, ] -0.18959509 0.011287192 0.03108897 -0.002946348 0.034317025 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item6[1, ] 0.660813670 -0.0400030143 -0.077742030 0.0071382098 -0.1103238235 + expected$covM1$Item6[1, ] 0.660814076 -0.0400030387 -0.077741933 0.0071382021 -0.1103238931 - actual$covM1$Item6[2, ] -0.040003014 0.0025650257 0.007898242 -0.0007554418 0.0060745901 + expected$covM1$Item6[2, ] -0.040003039 0.0025650272 0.007898237 -0.0007554414 0.0060745944 - actual$covM1$Item6[3, ] -0.077742030 0.0078982417 0.224495248 -0.0198123436 -0.0061886573 + expected$covM1$Item6[3, ] -0.077741933 0.0078982366 0.224495334 -0.0198123498 -0.0061886780 - actual$covM1$Item6[4, ] 0.007138210 -0.0007554418 -0.019812344 0.0018346201 0.0004926302 + expected$covM1$Item6[4, ] 0.007138202 -0.0007554414 -0.019812350 0.0018346206 0.0004926318 - actual$covM1$Item6[5, ] -0.110323824 0.0060745901 -0.006188657 0.0004926302 0.0220454945 + expected$covM1$Item6[5, ] -0.110323893 0.0060745944 -0.006188678 0.0004926318 0.0220455059 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 1.23733341 -0.063366071 -0.31469704 0.022910443 -0.300610292 + expected$covM1$Item7[1, ] 1.23733335 -0.063366063 -0.31469690 0.022910432 -0.300610303 - actual$covM1$Item7[2, ] -0.06336607 0.003395115 0.01846588 -0.001426338 0.014629230 + expected$covM1$Item7[2, ] -0.06336606 0.003395115 0.01846587 -0.001426338 0.014629229 - actual$covM1$Item7[3, ] -0.31469704 0.018465880 0.20801990 -0.017413290 0.060680880 + expected$covM1$Item7[3, ] -0.31469690 0.018465872 0.20801984 -0.017413286 0.060680849 - actual$covM1$Item7[4, ] 0.02291044 -0.001426338 -0.01741329 0.001550895 -0.004108839 + expected$covM1$Item7[4, ] 0.02291043 -0.001426338 -0.01741329 0.001550895 -0.004108837 - actual$covM1$Item7[5, ] -0.30061029 0.014629230 0.06068088 -0.004108839 0.078172998 + expected$covM1$Item7[5, ] -0.30061030 0.014629229 0.06068085 -0.004108837 0.078173007 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 1.22340485 -0.062963747 -0.19961493 0.016058281 -0.239970298 + expected$covM1$Item9[1, ] 1.22340389 -0.062963675 -0.19961479 0.016058269 -0.239970432 - actual$covM1$Item9[2, ] -0.06296375 0.003386069 0.01307774 -0.001100515 0.011692984 + expected$covM1$Item9[2, ] -0.06296367 0.003386064 0.01307773 -0.001100514 0.011692985 - actual$covM1$Item9[3, ] -0.19961493 0.013077745 0.19240232 -0.016085562 0.022244323 + expected$covM1$Item9[3, ] -0.19961479 0.013077732 0.19240211 -0.016085545 0.022244344 - actual$covM1$Item9[4, ] 0.01605828 -0.001100515 -0.01608556 0.001417475 -0.001717755 + expected$covM1$Item9[4, ] 0.01605827 -0.001100514 -0.01608555 0.001417474 -0.001717757 - actual$covM1$Item9[5, ] -0.23997030 0.011692984 0.02224432 -0.001717755 0.051033680 + expected$covM1$Item9[5, ] -0.23997043 0.011692985 0.02224434 -0.001717757 0.051033776 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.90076428 -0.0541723862 -0.143188732 0.0105552840 -0.0748240041 + expected$covM1$Item12[1, ] 0.90075962 -0.0541719134 -0.143184299 0.0105549582 -0.0748256475 - actual$covM1$Item12[2, ] -0.05417239 0.0033952070 0.012492213 -0.0009954881 0.0041166553 + expected$covM1$Item12[2, ] -0.05417191 0.0033951667 0.012491880 -0.0009954632 0.0041167332 - actual$covM1$Item12[3, ] -0.14318873 0.0124922129 0.408826856 -0.0326494474 -0.0049672478 + expected$covM1$Item12[3, ] -0.14318430 0.0124918802 0.408815898 -0.0326486196 -0.0049673027 - actual$covM1$Item12[4, ] 0.01055528 -0.0009954881 -0.032649447 0.0027093734 0.0004772933 + expected$covM1$Item12[4, ] 0.01055496 -0.0009954632 -0.032648620 0.0027093098 0.0004772992 - actual$covM1$Item12[5, ] -0.07482400 0.0041166553 -0.004967248 0.0004772933 0.0078807997 + expected$covM1$Item12[5, ] -0.07482565 0.0041167332 -0.004967303 0.0004772992 0.0078811427 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 1.04556283 -5.082888e-02 0.0963525634 -1.078516e-02 -0.227818219 + expected$covM1$Item13[1, ] 1.04553372 -5.082766e-02 0.0963631018 -1.078600e-02 -0.227807504 - actual$covM1$Item13[2, ] -0.05082888 2.711795e-03 0.0004973998 3.927418e-06 0.010041399 + expected$covM1$Item13[2, ] -0.05082766 2.711746e-03 0.0004969787 3.960824e-06 0.010040930 - actual$covM1$Item13[3, ] 0.09635256 4.973998e-04 0.2975472967 -2.734835e-02 -0.049564024 + expected$covM1$Item13[3, ] 0.09636310 4.969787e-04 0.2975595246 -2.734944e-02 -0.049566213 - actual$covM1$Item13[4, ] -0.01078516 3.927418e-06 -0.0273483471 2.640931e-03 0.004925244 + expected$covM1$Item13[4, ] -0.01078600 3.960824e-06 -0.0273494353 2.641029e-03 0.004925402 - actual$covM1$Item13[5, ] -0.22781822 1.004140e-02 -0.0495640240 4.925244e-03 0.055339239 + expected$covM1$Item13[5, ] -0.22780750 1.004093e-02 -0.0495662131 4.925402e-03 0.055335835 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.64988585 -0.041811228 -0.245919859 0.0182461064 -0.0410515109 + expected$covM1$Item18[1, ] 0.64989025 -0.041811557 -0.245923777 0.0182463909 -0.0410512574 - actual$covM1$Item18[2, ] -0.04181123 0.002766033 0.017855836 -0.0013686087 0.0024343758 + expected$covM1$Item18[2, ] -0.04181156 0.002766057 0.017856109 -0.0013686287 0.0024343635 - actual$covM1$Item18[3, ] -0.24591986 0.017855836 0.344023213 -0.0266756963 0.0056453543 + expected$covM1$Item18[3, ] -0.24592378 0.017856109 0.344027543 -0.0266760134 0.0056454190 - actual$covM1$Item18[4, ] 0.01824611 -0.001368609 -0.026675696 0.0021358369 -0.0003689782 + expected$covM1$Item18[4, ] 0.01824639 -0.001368629 -0.026676013 0.0021358604 -0.0003689831 - actual$covM1$Item18[5, ] -0.04105151 0.002434376 0.005645354 -0.0003689782 0.0035980164 + expected$covM1$Item18[5, ] -0.04105126 0.002434364 0.005645419 -0.0003689831 0.0035979576 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.81749946 -0.053485541 -0.194692433 0.0158225747 -0.0239338065 + expected$covM1$Item20[1, ] 0.81749778 -0.053485422 -0.194691156 0.0158224843 -0.0239338304 - actual$covM1$Item20[2, ] -0.05348554 0.003601586 0.017055960 -0.0013985829 0.0013999497 + expected$covM1$Item20[2, ] -0.05348542 0.003601578 0.017055873 -0.0013985767 0.0013999508 - actual$covM1$Item20[3, ] -0.19469243 0.017055960 1.107148304 -0.0795826218 -0.0098816988 + expected$covM1$Item20[3, ] -0.19469116 0.017055873 1.107145491 -0.0795824281 -0.0098817238 - actual$covM1$Item20[4, ] 0.01582257 -0.001398583 -0.079582622 0.0058480252 0.0006449729 + expected$covM1$Item20[4, ] 0.01582248 -0.001398577 -0.079582428 0.0058480117 0.0006449746 - actual$covM1$Item20[5, ] -0.02393381 0.001399950 -0.009881699 0.0006449729 0.0012994936 + expected$covM1$Item20[5, ] -0.02393383 0.001399951 -0.009881724 0.0006449746 0.0012994976 ── Failure ('test-difNLR.R:112:3'): difNLR - examples at help page ───────────── Expected `fit8` to equal `fit8_expected`. Differences: `actual$nlrPAR[[1]]`: 0.32320546 1.13370631 -1.07235984 0.12662854 0.99317346 `expected$nlrPAR[[1]]`: 0.32320690 1.13370385 -1.07235558 0.12662741 0.99317360 `actual$nlrPAR[[2]]`: 0.59796437 1.15693251 -0.51422082 0.11177558 0.92027001 `expected$nlrPAR[[2]]`: 0.59798585 1.15691866 -0.51421910 0.11176757 0.92026964 `actual$nlrPAR[[3]]`: 1.55996421 0.92560058 0.00000000 0.00000000 0.90149113 `expected$nlrPAR[[3]]`: 1.55996917 0.92560294 0.00000000 0.00000000 0.90149049 `actual$nlrPAR[[5]]`: 1.1532557 1.0734014 0.0000000 0.3327421 1.0000000 `expected$nlrPAR[[5]]`: 1.1532483 1.0734028 0.0000000 0.3327464 1.0000000 `actual$nlrPAR[[8]]`: 0.1263851 0.8219324 0.0000000 0.1885746 1.0000000 `expected$nlrPAR[[8]]`: 0.1263959 0.8219280 0.0000000 0.1885706 1.0000000 `actual$nlrPAR[[12]]`: -0.34309056 0.89778299 0.00000000 0.20920333 1.00000000 `expected$nlrPAR[[12]]`: -0.34308747 0.89778156 0.00000000 0.20920250 1.00000000 `actual$nlrPAR[[13]]`: 0.6497828 0.8891646 0.0000000 0.3237768 0.9819687 `expected$nlrPAR[[13]]`: 0.6497499 0.8892116 0.0000000 0.3238028 0.9819624 `actual$nlrPAR[[15]]`: 0.09699751 0.59697184 0.00000000 0.00000000 1.00000000 `expected$nlrPAR[[15]]`: 0.09699738 0.59697101 0.00000000 0.00000000 1.00000000 `actual$nlrPAR[[16]]`: -0.5041715 1.0814102 0.0000000 0.0768309 1.0000000 `expected$nlrPAR[[16]]`: -0.5041613 1.0814053 0.0000000 0.0768282 1.0000000 `actual$nlrPAR[[20]]`: -1.3542432 1.2607027 0.0000000 0.2041056 1.0000000 `expected$nlrPAR[[20]]`: -1.3542322 1.2606959 0.0000000 0.2041043 1.0000000 actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.242974216 - 0.242974302 [1] [2] 0.279351169 - 0.279351063 [2] [3] 0.278274253 - 0.278273693 [3] [4] 0.070776768 - 0.070777180 [4] [5] 0.088410887 - 0.088411114 [5] `actual$nlrSE[[2]]`: 0.25627876 0.33586765 0.19336951 0.10775316 0.07377555 `expected$nlrSE[[2]]`: 0.25627945 0.33586669 0.19336932 0.10775712 0.07377618 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.504351357 - 0.504350328 [1] [2] 0.468713968 - 0.468713871 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.545812153 - 0.545810883 [4] [5] 0.064089880 - 0.064089490 [5] actual$nlrSE[[4]] | expected$nlrSE[[4]] [1] 1.117462889 - 1.117463066 [1] [2] 0.594054132 - 0.594054238 [2] [3] 0.000000000 | 0.000000000 [3] [4] 1.313857470 - 1.313857732 [4] [5] 0.135103982 - 0.135103997 [5] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 0.317657431 - 0.317657804 [1] [2] 0.409873898 - 0.409875289 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.201998807 - 0.201996745 [4] [5] 0.049232628 - 0.049232666 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] `actual$nlrSE[[8]]`: 0.35415112 0.45033155 0.00000000 0.20777905 0.16990648 `expected$nlrSE[[8]]`: 0.35415243 0.45033194 0.00000000 0.20778332 0.16990731 actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.336039253 - 0.336039415 [1] [2] 0.439196930 - 0.439196958 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.128119288 - 0.128119945 [4] [5] 0.197950429 - 0.197950678 [5] `actual$nlrSE[[13]]`: 0.4051980 0.4984701 0.0000000 0.2399315 0.0976115 `expected$nlrSE[[13]]`: 0.4051788 0.4984669 0.0000000 0.2398930 0.0976032 `actual$nlrSE[[15]]`: 0.47457407 0.55342802 0.00000000 0.45904730 0.38185767 `expected$nlrSE[[15]]`: 0.47457501 0.55342914 0.00000000 0.45904902 0.38185900 actual$nlrSE[[16]] | expected$nlrSE[[16]] [1] 0.226773445 - 0.226773530 [1] [2] 0.317546109 - 0.317545795 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.079085957 - 0.079086991 [4] [5] 0.140447068 - 0.140447487 [5] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.284859533 - 0.284859523 [1] [2] 0.399763396 - 0.399762947 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.044979642 - 0.044980132 [4] [5] 0.187247927 - 0.187248908 [5] `actual$parM0$Item1`: -0.0220175 0.9334448 0.0572142 1.0000000 `expected$parM0$Item1`: -0.0220028 0.9334372 0.0572085 1.0000000 `actual$parM0$Item2`: 0.0669304 1.3907426 0.2073209 0.9138446 `expected$parM0$Item2`: 0.0669261 1.3907279 0.2073191 0.9138473 `actual$parM0$Item3`: 1.55996421 0.92560058 0.00000000 0.90149113 `expected$parM0$Item3`: 1.55996917 0.92560294 0.00000000 0.90149049 `actual$parM0$Item5`: 1.1532557 1.0734014 0.3327421 1.0000000 `expected$parM0$Item5`: 1.1532483 1.0734028 0.3327464 1.0000000 `actual$parM0$Item8`: 0.1263851 0.8219324 0.1885746 1.0000000 `expected$parM0$Item8`: 0.1263959 0.8219280 0.1885706 1.0000000 `actual$parM0$Item12`: -0.34309056 0.89778299 0.20920333 1.00000000 `expected$parM0$Item12`: -0.34308747 0.89778156 0.20920250 1.00000000 `actual$parM0$Item13`: 0.6497828 0.8891646 0.3237768 0.9819687 `expected$parM0$Item13`: 0.6497499 0.8892116 0.3238028 0.9819624 `actual$parM0$Item15`: 0.09699751 0.59697184 0.00000000 1.00000000 `expected$parM0$Item15`: 0.09699738 0.59697101 0.00000000 1.00000000 `actual$parM0$Item16`: -0.5041715 1.0814102 0.0768309 1.0000000 `expected$parM0$Item16`: -0.5041613 1.0814053 0.0768282 1.0000000 `actual$parM0$Item20`: -1.3542432 1.2607027 0.2041056 1.0000000 `expected$parM0$Item20`: -1.3542322 1.2606959 0.2041043 1.0000000 `actual$seM0$Item1`: 0.25705019 0.34300471 0.14091399 0.14201913 `expected$seM0$Item1`: 0.25705064 0.34300482 0.14091771 0.14202016 `actual$seM0$Item2`: 0.23109125 0.36698488 0.06925302 0.06485684 `expected$seM0$Item2`: 0.23109160 0.36698349 0.06925410 0.06485802 `actual$seM0$Item3`: 0.504351357 0.468713968 0.545812153 0.064089880 `expected$seM0$Item3`: 0.504350328 0.468713871 0.545810883 0.064089490 `actual$seM0$Item4`: 1.117462889 0.594054132 1.313857470 0.135103982 `expected$seM0$Item4`: 1.117463066 0.594054238 1.313857732 0.135103997 `actual$seM0$Item5`: 0.317657431 0.409873898 0.201998807 0.049232628 `expected$seM0$Item5`: 0.317657804 0.409875289 0.201996745 0.049232666 `actual$seM0$Item8`: 0.35415112 0.45033155 0.20777905 0.16990648 `expected$seM0$Item8`: 0.35415243 0.45033194 0.20778332 0.16990731 `actual$seM0$Item12`: 0.336039253 0.439196930 0.128119288 0.197950429 `expected$seM0$Item12`: 0.336039415 0.439196958 0.128119945 0.197950678 `actual$seM0$Item13`: 0.4051980 0.4984701 0.2399315 0.0976115 `expected$seM0$Item13`: 0.4051788 0.4984669 0.2398930 0.0976032 `actual$seM0$Item15`: 0.47457407 0.55342802 0.45904730 0.38185767 `expected$seM0$Item15`: 0.47457501 0.55342914 0.45904902 0.38185900 `actual$seM0$Item16`: 0.226773445 0.317546109 0.079085957 0.140447068 `expected$seM0$Item16`: 0.226773530 0.317545795 0.079086991 0.140447487 `actual$seM0$Item20`: 0.284859533 0.399763396 0.044979642 0.187247927 `expected$seM0$Item20`: 0.284859523 0.399762947 0.044980132 0.187248908 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] [,4] - actual$covM0$Item1[1, ] 0.066074800 -0.002873132 -0.01387224 -0.01230156 + expected$covM0$Item1[1, ] 0.066075033 -0.002873414 -0.01387266 -0.01230148 - actual$covM0$Item1[2, ] -0.002873132 0.117652232 0.04420524 -0.04427739 + expected$covM0$Item1[2, ] -0.002873414 0.117652309 0.04420649 -0.04427779 - actual$covM0$Item1[3, ] -0.013872239 0.044205238 0.01985675 -0.01460883 + expected$covM0$Item1[3, ] -0.013872659 0.044206492 0.01985780 -0.01460940 - actual$covM0$Item1[4, ] -0.012301562 -0.044277390 -0.01460883 0.02016943 + expected$covM0$Item1[4, ] -0.012301480 -0.044277786 -0.01460940 0.02016973 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] - actual$covM0$Item2[1, ] 5.340317e-02 5.590604e-05 -0.006998014 -0.006735208 + expected$covM0$Item2[1, ] 5.340333e-02 5.566998e-05 -0.006998137 -0.006735282 - actual$covM0$Item2[2, ] 5.590604e-05 1.346779e-01 0.021276870 -0.019705105 + expected$covM0$Item2[2, ] 5.566998e-05 1.346769e-01 0.021277187 -0.019705447 - actual$covM0$Item2[3, ] -6.998014e-03 2.127687e-02 0.004795981 -0.002513852 + expected$covM0$Item2[3, ] -6.998137e-03 2.127719e-02 0.004796131 -0.002513958 - actual$covM0$Item2[4, ] -6.735208e-03 -1.970511e-02 -0.002513852 0.004206410 + expected$covM0$Item2[4, ] -6.735282e-03 -1.970545e-02 -0.002513958 0.004206563 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.254370291 -0.11787141 -0.21178022 0.005093577 + expected$covM0$Item3[1, ] 0.254369253 -0.11787064 -0.21177897 0.005093444 - actual$covM0$Item3[2, ] -0.117871409 0.21969278 0.23801274 -0.027092964 + expected$covM0$Item3[2, ] -0.117870642 0.21969269 0.23801207 -0.027092780 - actual$covM0$Item3[3, ] -0.211780217 0.23801274 0.29791091 -0.025885499 + expected$covM0$Item3[3, ] -0.211778967 0.23801207 0.29790952 -0.025885252 - actual$covM0$Item3[4, ] 0.005093577 -0.02709296 -0.02588550 0.004107513 + expected$covM0$Item3[4, ] 0.005093444 -0.02709278 -0.02588525 0.004107463 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] [,4] - actual$covM0$Item4[1, ] 1.24872331 -0.53786589 -1.3746194 0.09286988 + expected$covM0$Item4[1, ] 1.24872370 -0.53786613 -1.3746199 0.09286993 - actual$covM0$Item4[2, ] -0.53786589 0.35290031 0.7510237 -0.07637070 + expected$covM0$Item4[2, ] -0.53786613 0.35290044 0.7510240 -0.07637072 - actual$covM0$Item4[3, ] -1.37461940 0.75102370 1.7262215 -0.15110764 + expected$covM0$Item4[3, ] -1.37461994 0.75102399 1.7262221 -0.15110770 - actual$covM0$Item4[4, ] 0.09286988 -0.07637070 -0.1511076 0.01825309 + expected$covM0$Item4[4, ] 0.09286993 -0.07637072 -0.1511077 0.01825309 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.100906243 -0.01639228 -0.031927052 -0.004046355 + expected$covM0$Item5[1, ] 0.100906480 -0.01639186 -0.031926576 -0.004046425 - actual$covM0$Item5[2, ] -0.016392278 0.16799661 0.075194818 -0.017718185 + expected$covM0$Item5[2, ] -0.016391855 0.16799775 0.075194278 -0.017718255 - actual$covM0$Item5[3, ] -0.031927052 0.07519482 0.040803518 -0.006820954 + expected$covM0$Item5[3, ] -0.031926576 0.07519428 0.040802685 -0.006820884 - actual$covM0$Item5[4, ] -0.004046355 -0.01771818 -0.006820954 0.002423852 + expected$covM0$Item5[4, ] -0.004046425 -0.01771825 -0.006820884 0.002423855 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] [,4] - actual$covM0$Item8[1, ] 0.12542301 -0.01487184 -0.03023172 -0.01490142 + expected$covM0$Item8[1, ] 0.12542394 -0.01487277 -0.03023274 -0.01490116 - actual$covM0$Item8[2, ] -0.01487184 0.20279851 0.08730002 -0.07088381 + expected$covM0$Item8[2, ] -0.01487277 0.20279886 0.08730195 -0.07088427 - actual$covM0$Item8[3, ] -0.03023172 0.08730002 0.04317213 -0.02737567 + expected$covM0$Item8[3, ] -0.03023274 0.08730195 0.04317391 -0.02737643 - actual$covM0$Item8[4, ] -0.01490142 -0.07088381 -0.02737567 0.02886821 + expected$covM0$Item8[4, ] -0.01490116 -0.07088427 -0.02737643 0.02886849 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] - actual$covM0$Item12[1, ] 0.112922379 0.007729332 -0.01259563 -0.02701919 + expected$covM0$Item12[1, ] 0.112922489 0.007729283 -0.01259570 -0.02701919 - actual$covM0$Item12[2, ] 0.007729332 0.192893943 0.05163677 -0.07979903 + expected$covM0$Item12[2, ] 0.007729283 0.192893968 0.05163706 -0.07979916 - actual$covM0$Item12[3, ] -0.012595629 0.051636773 0.01641455 -0.01890950 + expected$covM0$Item12[3, ] -0.012595698 0.051637057 0.01641472 -0.01890963 - actual$covM0$Item12[4, ] -0.027019187 -0.079799034 -0.01890950 0.03918437 + expected$covM0$Item12[4, ] -0.027019190 -0.079799155 -0.01890963 0.03918447 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.164185458 -0.04635703 -0.05331897 -0.005051936 + expected$covM0$Item13[1, ] 0.164169886 -0.04634182 -0.05330373 -0.005054266 - actual$covM0$Item13[2, ] -0.046357032 0.24847246 0.11094897 -0.044402851 + expected$covM0$Item13[2, ] -0.046341822 0.24846923 0.11092965 -0.044398402 - actual$covM0$Item13[3, ] -0.053318974 0.11094897 0.05756711 -0.017570073 + expected$covM0$Item13[3, ] -0.053303731 0.11092965 0.05754866 -0.017565328 - actual$covM0$Item13[4, ] -0.005051936 -0.04440285 -0.01757007 0.009528008 + expected$covM0$Item13[4, ] -0.005054266 -0.04439840 -0.01756533 0.009526385 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.22522055 -0.04015838 -0.08681427 -0.02033736 + expected$covM0$Item15[1, ] 0.22522144 -0.04015882 -0.08681489 -0.02033722 - actual$covM0$Item15[2, ] -0.04015838 0.30628257 0.24460565 -0.20282879 + expected$covM0$Item15[2, ] -0.04015882 0.30628381 0.24460710 -0.20282993 - actual$covM0$Item15[3, ] -0.08681427 0.24460565 0.21072442 -0.15168542 + expected$covM0$Item15[3, ] -0.08681489 0.24460710 0.21072600 -0.15168659 - actual$covM0$Item15[4, ] -0.02033736 -0.20282879 -0.15168542 0.14581528 + expected$covM0$Item15[4, ] -0.02033722 -0.20282993 -0.15168659 0.14581630 actual$covM0$Item16 vs expected$covM0$Item16 [,1] [,2] [,3] [,4] - actual$covM0$Item16[1, ] 0.051426196 -0.001944726 -0.007211520 -0.012079178 + expected$covM0$Item16[1, ] 0.051426234 -0.001944540 -0.007211563 -0.012079256 - actual$covM0$Item16[2, ] -0.001944726 0.100835531 0.022217068 -0.039661786 + expected$covM0$Item16[2, ] -0.001944540 0.100835332 0.022217361 -0.039661897 - actual$covM0$Item16[3, ] -0.007211520 0.022217068 0.006254589 -0.007480797 + expected$covM0$Item16[3, ] -0.007211563 0.022217361 0.006254752 -0.007480938 - actual$covM0$Item16[4, ] -0.012079178 -0.039661786 -0.007480797 0.019725379 + expected$covM0$Item16[4, ] -0.012079256 -0.039661897 -0.007480938 0.019725497 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] [,4] - actual$covM0$Item20[1, ] 0.081144954 -0.01830648 -0.006659131 -0.015217996 + expected$covM0$Item20[1, ] 0.081144948 -0.01830561 -0.006659124 -0.015218388 - actual$covM0$Item20[2, ] -0.018306481 0.15981077 0.015099785 -0.065639571 + expected$covM0$Item20[2, ] -0.018305608 0.15981041 0.015099959 -0.065639903 - actual$covM0$Item20[3, ] -0.006659131 0.01509978 0.002023168 -0.005188930 + expected$covM0$Item20[3, ] -0.006659124 0.01509996 0.002023212 -0.005189033 - actual$covM0$Item20[4, ] -0.015217996 -0.06563957 -0.005188930 0.035061786 + expected$covM0$Item20[4, ] -0.015218388 -0.06563990 -0.005189033 0.035062154 `actual$parM1$Item1`: 0.32320546 1.13370631 -1.07235984 0.12662854 0.99317346 `expected$parM1$Item1`: 0.32320690 1.13370385 -1.07235558 0.12662741 0.99317360 `actual$parM1$Item2`: 0.59796437 1.15693251 -0.51422082 0.11177558 0.92027001 `expected$parM1$Item2`: 0.59798585 1.15691866 -0.51421910 0.11176757 0.92026964 actual$parM1$Item3 | expected$parM1$Item3 [1] 1.507978436 - 1.507978832 [1] [2] 0.917941683 - 0.917941949 [2] [3] 0.075486570 - 0.075486759 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.903361040 - 0.903360977 [5] `actual$parM1$Item6`: 0.5683118 0.9117789 -0.0274522 0.0598405 1.0000000 `expected$parM1$Item6`: 0.5683168 0.9117756 -0.0274509 0.0598373 1.0000000 actual$parM1$Item8 | expected$parM1$Item8 [1] 0.082385659 - 0.082385051 [1] [2] 0.830626126 - 0.830626403 [2] [3] 0.046172880 - 0.046172822 [3] [4] 0.196301810 - 0.196302045 [4] [5] 1.000000000 | 1.000000000 [5] `actual$parM1$Item9`: 0.24040630 0.63539787 0.03016192 0.04632084 1.00000000 `expected$parM1$Item9`: 0.24040832 0.63539707 0.03016213 0.04631958 1.00000000 `actual$parM1$Item10`: 0.1687878 0.6461605 0.0957568 0.0572069 1.0000000 `expected$parM1$Item10`: 0.1688208 0.6461490 0.0957520 0.0571918 1.0000000 `actual$parM1$Item12`: -0.43388127 0.92195800 0.09976397 0.22012406 1.00000000 `expected$parM1$Item12`: -0.43387697 0.92195601 0.09976269 0.22012311 1.00000000 `actual$parM1$Item13`: 0.4336086 1.1703006 0.2838149 0.4193065 0.9477100 `expected$parM1$Item13`: 0.4335702 1.1703861 0.2838069 0.4193302 0.9477042 `actual$parM1$Item15`: 0.0547058 0.5969746 0.0853485 0.0000000 1.0000000 `expected$parM1$Item15`: 0.0547019 0.5969767 0.0853333 0.0000000 1.0000000 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510659434 - -0.510654210 [1] [2] 1.080511366 - 1.080507944 [2] [3] 0.015598901 - 0.015598920 [3] [4] 0.076474103 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -0.600332589 - -0.600332436 [1] [2] 1.014631513 - 1.014631427 [2] [3] 0.134705354 - 0.134705348 [3] [4] 0.028827957 - 0.028827912 [4] [5] 1.000000000 | 1.000000000 [5] `actual$parM1$Item19`: -0.18778238 0.85453878 0.14282620 0.01274498 1.00000000 `expected$parM1$Item19`: -0.18778293 0.85453903 0.14282632 0.01274518 1.00000000 `actual$parM1$Item20`: -1.1926357 1.2187021 -0.1937107 0.1958467 1.0000000 `expected$parM1$Item20`: -1.1926466 1.2187082 -0.1937082 0.1958480 1.0000000 actual$seM1$Item1 | expected$seM1$Item1 [1] 0.242974216 - 0.242974302 [1] [2] 0.279351169 - 0.279351063 [2] [3] 0.278274253 - 0.278273693 [3] [4] 0.070776768 - 0.070777180 [4] [5] 0.088410887 - 0.088411114 [5] `actual$seM1$Item2`: 0.25627876 0.33586765 0.19336951 0.10775316 0.07377555 `expected$seM1$Item2`: 0.25627945 0.33586669 0.19336932 0.10775712 0.07377618 actual$seM1$Item3 | expected$seM1$Item3 [1] 0.521636737 - 0.521636597 [1] [2] 0.468280938 - 0.468280877 [2] [3] 0.139852149 - 0.139852165 [3] [4] 0.548974333 - 0.548974120 [4] [5] 0.065226192 - 0.065226143 [5] `actual$seM1$Item6`: 0.28403184 0.35563992 0.10315314 0.22049461 0.10345792 `expected$seM1$Item6`: 0.28403280 0.35564020 0.10315276 0.22049758 0.10345834 actual$seM1$Item7 | expected$seM1$Item7 [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.357743238 - 0.357742983 [1] [2] 0.449173685 - 0.449173523 [2] [3] 0.120023338 - 0.120023326 [3] [4] 0.199479185 - 0.199478897 [4] [5] 0.168186212 - 0.168186104 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.474254991 - 0.474255764 [1] [2] 0.533608357 - 0.533608761 [2] [3] 0.101035210 - 0.101035143 [3] [4] 0.444274636 - 0.444276968 [4] [5] 0.288364133 - 0.288364587 [5] `actual$seM1$Item10`: 0.4649567 0.5225814 0.1256262 0.4079314 0.2825969 `expected$seM1$Item10`: 0.4649682 0.5225862 0.1256239 0.4079608 0.2826029 `actual$seM1$Item12`: 0.33664664 0.43526840 0.13676587 0.11817985 0.19126502 `expected$seM1$Item12`: 0.33664694 0.43526859 0.13676547 0.11818063 0.19126547 `actual$seM1$Item13`: 0.3589886 0.4941280 0.2171419 0.1170259 0.0615478 `expected$seM1$Item13`: 0.3589787 0.4941353 0.2171466 0.1170046 0.0615420 `actual$seM1$Item15`: 0.4822156 0.5490582 0.1214616 0.4552445 0.3787329 `expected$seM1$Item15`: 0.4822104 0.5490568 0.1214523 0.4552373 0.3787339 actual$seM1$Item16 | expected$seM1$Item16 [1] 0.233414961 - 0.233415147 [1] [2] 0.317610857 - 0.317610849 [2] [3] 0.109179480 - 0.109179312 [3] [4] 0.079268402 - 0.079269049 [4] [5] 0.140600902 - 0.140601371 [5] actual$seM1$Item18 | expected$seM1$Item18 [1] 0.235640802 - 0.235640788 [1] [2] 0.311619177 - 0.311619184 [2] [3] 0.109317187 - 0.109317182 [3] [4] 0.086003755 - 0.086003770 [4] [5] 0.162425719 - 0.162425751 [5] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.279334792 - 0.279334683 [1] [2] 0.353276217 - 0.353276835 [2] [3] 0.112688877 - 0.112688973 [3] [4] 0.159165465 - 0.159165509 [4] [5] 0.182483039 - 0.182483219 [5] `actual$seM1$Item20`: 0.29237053 0.39480248 0.16195532 0.04792813 0.19209842 `expected$seM1$Item20`: 0.29237030 0.39480290 0.16195555 0.04792764 0.19209752 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.059036470 0.03252626 -0.03677974 0.001329006 -0.016986350 + expected$covM1$Item1[1, ] 0.059036511 0.03252624 -0.03677965 0.001329017 -0.016986392 - actual$covM1$Item1[2, ] 0.032526259 0.07803708 -0.06968574 0.016852109 -0.021122768 + expected$covM1$Item1[2, ] 0.032526241 0.07803702 -0.06968558 0.016852213 -0.021122826 - actual$covM1$Item1[3, ] -0.036779737 -0.06968574 0.07743656 -0.015696043 0.019749474 + expected$covM1$Item1[3, ] -0.036779648 -0.06968558 0.07743625 -0.015696111 0.019749495 - actual$covM1$Item1[4, ] 0.001329006 0.01685211 -0.01569604 0.005009351 -0.003806034 + expected$covM1$Item1[4, ] 0.001329017 0.01685221 -0.01569611 0.005009409 -0.003806072 - actual$covM1$Item1[5, ] -0.016986350 -0.02112277 0.01974947 -0.003806034 0.007816485 + expected$covM1$Item1[5, ] -0.016986392 -0.02112283 0.01974949 -0.003806072 0.007816525 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.065678800 0.02566529 -0.019609160 -0.002997748 -0.012192525 + expected$covM1$Item2[1, ] 0.065679156 0.02566518 -0.019609039 -0.002997838 -0.012192615 - actual$covM1$Item2[2, ] 0.025665287 0.11280708 -0.048561188 0.031701777 -0.021355177 + expected$covM1$Item2[2, ] 0.025665183 0.11280643 -0.048561371 0.031702942 -0.021355351 - actual$covM1$Item2[3, ] -0.019609160 -0.04856119 0.037391769 -0.014071932 0.009551653 + expected$covM1$Item2[3, ] -0.019609039 -0.04856137 0.037391696 -0.014072576 0.009551815 - actual$covM1$Item2[4, ] -0.002997748 0.03170178 -0.014071932 0.011610744 -0.005035766 + expected$covM1$Item2[4, ] -0.002997838 0.03170294 -0.014072576 0.011611597 -0.005036033 - actual$covM1$Item2[5, ] -0.012192525 -0.02135518 0.009551653 -0.005035766 0.005442832 + expected$covM1$Item2[5, ] -0.012192615 -0.02135535 0.009551815 -0.005036033 0.005442924 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item3[1, ] 0.272104886 -0.12863754 -0.020122603 -0.22500322 0.006606150 + expected$covM1$Item3[1, ] 0.272104740 -0.12863744 -0.020122622 -0.22500304 0.006606133 - actual$covM1$Item3[2, ] -0.128637541 0.21928704 0.018169266 0.23931747 -0.027586355 + expected$covM1$Item3[2, ] -0.128637437 0.21928698 0.018169284 0.23931734 -0.027586329 - actual$covM1$Item3[3, ] -0.020122603 0.01816927 0.019558624 0.02033016 -0.002319495 + expected$covM1$Item3[3, ] -0.020122622 0.01816928 0.019558628 0.02033018 -0.002319495 - actual$covM1$Item3[4, ] -0.225003217 0.23931747 0.020330162 0.30137282 -0.026579297 + expected$covM1$Item3[4, ] -0.225003038 0.23931734 0.020330182 0.30137258 -0.026579263 - actual$covM1$Item3[5, ] 0.006606150 -0.02758635 -0.002319495 -0.02657930 0.004254456 + expected$covM1$Item3[5, ] 0.006606133 -0.02758633 -0.002319495 -0.02657926 0.004254450 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item6[1, ] 0.080674084 -0.015752893 -0.004791285 -0.030324410 -0.005933723 + expected$covM1$Item6[1, ] 0.080674629 -0.015753501 -0.004791242 -0.030325174 -0.005933590 - actual$covM1$Item6[2, ] -0.015752893 0.126479752 -0.003768430 0.072419529 -0.033449925 + expected$covM1$Item6[2, ] -0.015753501 0.126479950 -0.003768278 0.072420603 -0.033450109 - actual$covM1$Item6[3, ] -0.004791285 -0.003768430 0.010640571 -0.002199330 0.001017624 + expected$covM1$Item6[3, ] -0.004791242 -0.003768278 0.010640491 -0.002199273 0.001017585 - actual$covM1$Item6[4, ] -0.030324410 0.072419529 -0.002199330 0.048617871 -0.016896187 + expected$covM1$Item6[4, ] -0.030325174 0.072420603 -0.002199273 0.048619182 -0.016896515 - actual$covM1$Item6[5, ] -0.005933723 -0.033449925 0.001017624 -0.016896187 0.010703541 + expected$covM1$Item6[5, ] -0.005933590 -0.033450109 0.001017585 -0.016896515 0.010703629 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 0.24861777 -0.13168198 -0.05711450 -0.19363009 0.02680847 + expected$covM1$Item7[1, ] 0.24861774 -0.13168198 -0.05711449 -0.19363008 0.02680848 - actual$covM1$Item7[2, ] -0.13168198 0.19903352 0.07840870 0.20584411 -0.06988717 + expected$covM1$Item7[2, ] -0.13168198 0.19903351 0.07840870 0.20584410 -0.06988717 - actual$covM1$Item7[3, ] -0.05711450 0.07840870 0.04047383 0.08202830 -0.02784201 + expected$covM1$Item7[3, ] -0.05711449 0.07840870 0.04047383 0.08202830 -0.02784201 - actual$covM1$Item7[4, ] -0.19363009 0.20584411 0.08202830 0.23553052 -0.06625726 + expected$covM1$Item7[4, ] -0.19363008 0.20584410 0.08202830 0.23553051 -0.06625726 - actual$covM1$Item7[5, ] 0.02680847 -0.06988717 -0.02784201 -0.06625726 0.02765753 + expected$covM1$Item7[5, ] 0.02680848 -0.06988717 -0.02784201 -0.06625726 0.02765753 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item8[1, ] 0.127980224 -0.01853840 -0.007895556 -0.030616899 -0.013483788 + expected$covM1$Item8[1, ] 0.127980042 -0.01853835 -0.007895529 -0.030616822 -0.013483787 - actual$covM1$Item8[2, ] -0.018538398 0.20175700 0.011072014 0.083461529 -0.069883402 + expected$covM1$Item8[2, ] -0.018538353 0.20175685 0.011071960 0.083461376 -0.069883326 - actual$covM1$Item8[3, ] -0.007895556 0.01107201 0.014405602 0.004651151 -0.003904769 + expected$covM1$Item8[3, ] -0.007895529 0.01107196 0.014405599 0.004651120 -0.003904753 - actual$covM1$Item8[4, ] -0.030616899 0.08346153 0.004651151 0.039791945 -0.025890385 + expected$covM1$Item8[4, ] -0.030616822 0.08346138 0.004651120 0.039791830 -0.025890328 - actual$covM1$Item8[5, ] -0.013483788 -0.06988340 -0.003904769 -0.025890385 0.028286602 + expected$covM1$Item8[5, ] -0.013483787 -0.06988333 -0.003904753 -0.025890328 0.028286566 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 0.224917797 -0.07447552 -0.008330125 -0.11316559 0.002627585 + expected$covM1$Item9[1, ] 0.224918530 -0.07447642 -0.008330201 -0.11316683 0.002628051 - actual$covM1$Item9[2, ] -0.074475517 0.28473788 0.013489891 0.22727006 -0.146795898 + expected$covM1$Item9[2, ] -0.074476424 0.28473831 0.013490030 0.22727146 -0.146796259 - actual$covM1$Item9[3, ] -0.008330125 0.01348989 0.010208114 0.01085341 -0.007013465 + expected$covM1$Item9[3, ] -0.008330201 0.01349003 0.010208100 0.01085357 -0.007013541 - actual$covM1$Item9[4, ] -0.113165590 0.22727006 0.010853409 0.19737995 -0.108917370 + expected$covM1$Item9[4, ] -0.113166827 0.22727146 0.010853575 0.19738202 -0.108918167 - actual$covM1$Item9[5, ] 0.002627585 -0.14679590 -0.007013465 -0.10891737 0.083153873 + expected$covM1$Item9[5, ] 0.002628051 -0.14679626 -0.007013541 -0.10891817 0.083154135 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item10[1, ] 0.216184737 -0.07432006 -0.01592289 -0.10456644 0.003534106 + expected$covM1$Item10[1, ] 0.216195383 -0.07432929 -0.01592376 -0.10458053 0.003538585 - actual$covM1$Item10[2, ] -0.074320058 0.27309132 0.04034547 0.20397870 -0.140634607 + expected$covM1$Item10[2, ] -0.074329293 0.27309637 0.04034495 0.20399561 -0.140639083 - actual$covM1$Item10[3, ] -0.015922891 0.04034547 0.01578195 0.03038995 -0.020965851 + expected$covM1$Item10[3, ] -0.015923759 0.04034495 0.01578136 0.03039150 -0.020965849 - actual$covM1$Item10[4, ] -0.104566437 0.20397870 0.03038995 0.16640800 -0.097406299 + expected$covM1$Item10[4, ] -0.104580534 0.20399561 0.03039150 0.16643198 -0.097415874 - actual$covM1$Item10[5, ] 0.003534106 -0.14063461 -0.02096585 -0.09740630 0.079861027 + expected$covM1$Item10[5, ] 0.003538585 -0.14063908 -0.02096585 -0.09741587 0.079864388 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.113330963 -0.002995993 -0.008519927 -0.014343742 -0.021811018 + expected$covM1$Item12[1, ] 0.113331165 -0.002995871 -0.008519885 -0.014343801 -0.021811109 - actual$covM1$Item12[2, ] -0.002995993 0.189458576 0.020013134 0.046964112 -0.076096618 + expected$covM1$Item12[2, ] -0.002995871 0.189458743 0.020012948 0.046964462 -0.076096856 - actual$covM1$Item12[3, ] -0.008519927 0.020013134 0.018704904 0.005060975 -0.008230865 + expected$covM1$Item12[3, ] -0.008519885 0.020012948 0.018704794 0.005060961 -0.008230804 - actual$covM1$Item12[4, ] -0.014343742 0.046964112 0.005060975 0.013966477 -0.016617976 + expected$covM1$Item12[4, ] -0.014343801 0.046964462 0.005060961 0.013966661 -0.016618144 - actual$covM1$Item12[5, ] -0.021811018 -0.076096618 -0.008230865 -0.016617976 0.036582307 + expected$covM1$Item12[5, ] -0.021811109 -0.076096856 -0.008230804 -0.016618144 0.036582479 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.128872845 -0.02385230 -0.022064784 -0.021673307 -0.005906705 + expected$covM1$Item13[1, ] 0.128865709 -0.02384182 -0.022063888 -0.021667199 -0.005907433 - actual$covM1$Item13[2, ] -0.023852297 0.24416248 0.057760533 0.051010234 -0.026217950 + expected$covM1$Item13[2, ] -0.023841819 0.24416968 0.057756147 0.051000869 -0.026215418 - actual$covM1$Item13[3, ] -0.022064784 0.05776053 0.047150586 0.012427634 -0.006425396 + expected$covM1$Item13[3, ] -0.022063888 0.05775615 0.047152638 0.012424076 -0.006424125 - actual$covM1$Item13[4, ] -0.021673307 0.05101023 0.012427634 0.013695066 -0.004606209 + expected$covM1$Item13[4, ] -0.021667199 0.05100087 0.012424076 0.013690074 -0.004604716 - actual$covM1$Item13[5, ] -0.005906705 -0.02621795 -0.006425396 -0.004606209 0.003788128 + expected$covM1$Item13[5, ] -0.005907433 -0.02621542 -0.006424125 -0.004604716 0.003787412 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.232531885 -0.06075153 -0.01297414 -0.10288055 -0.006204068 + expected$covM1$Item15[1, ] 0.232526852 -0.06074430 -0.01297156 -0.10287306 -0.006208619 - actual$covM1$Item15[2, ] -0.060751535 0.30146490 0.04301063 0.24057756 -0.199512093 + expected$covM1$Item15[2, ] -0.060744299 0.30146342 0.04300264 0.24057316 -0.199512116 - actual$covM1$Item15[3, ] -0.012974141 0.04301063 0.01475292 0.03455350 -0.028672419 + expected$covM1$Item15[3, ] -0.012971563 0.04300264 0.01475066 0.03454663 -0.028667228 - actual$covM1$Item15[4, ] -0.102880554 0.24057756 0.03455350 0.20724753 -0.149021473 + expected$covM1$Item15[4, ] -0.102873057 0.24057316 0.03454663 0.20724102 -0.149019468 - actual$covM1$Item15[5, ] -0.006204068 -0.19951209 -0.02867242 -0.14902147 0.143438625 + expected$covM1$Item15[5, ] -0.006208619 -0.19951212 -0.02866723 -0.14901947 0.143439382 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.054482544 -0.002616151 -0.0059813533 -0.0073820090 -0.0118200878 + expected$covM1$Item16[1, ] 0.054482631 -0.002616035 -0.0059813191 -0.0073820407 -0.0118201626 - actual$covM1$Item16[2, ] -0.002616151 0.100876656 0.0014046509 0.0222770369 -0.0397189646 + expected$covM1$Item16[2, ] -0.002616035 0.100876651 0.0014046713 0.0222772350 -0.0397191188 - actual$covM1$Item16[3, ] -0.005981353 0.001404651 0.0119201588 0.0003188097 -0.0005712760 + expected$covM1$Item16[3, ] -0.005981319 0.001404671 0.0119201223 0.0003188151 -0.0005712869 - actual$covM1$Item16[4, ] -0.007382009 0.022277037 0.0003188097 0.0062834796 -0.0075098402 + expected$covM1$Item16[4, ] -0.007382041 0.022277235 0.0003188151 0.0062835822 -0.0075099410 - actual$covM1$Item16[5, ] -0.011820088 -0.039718965 -0.0005712760 -0.0075098402 0.0197686138 + expected$covM1$Item16[5, ] -0.011820163 -0.039719119 -0.0005712869 -0.0075099410 0.0197687456 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.055526587 -0.005107724 -0.005777831 -0.008518784 -0.012020509 + expected$covM1$Item18[1, ] 0.055526581 -0.005107706 -0.005777826 -0.008518781 -0.012020516 - actual$covM1$Item18[2, ] -0.005107724 0.097106512 0.012484484 0.024001282 -0.045575964 + expected$covM1$Item18[2, ] -0.005107706 0.097106516 0.012484487 0.024001287 -0.045575976 - actual$covM1$Item18[3, ] -0.005777831 0.012484484 0.011950247 0.003163198 -0.006030888 + expected$covM1$Item18[3, ] -0.005777826 0.012484487 0.011950246 0.003163199 -0.006030892 - actual$covM1$Item18[4, ] -0.008518784 0.024001282 0.003163198 0.007396646 -0.009759207 + expected$covM1$Item18[4, ] -0.008518781 0.024001287 0.003163199 0.007396648 -0.009759212 - actual$covM1$Item18[5, ] -0.012020509 -0.045575964 -0.006030888 -0.009759207 0.026382114 + expected$covM1$Item18[5, ] -0.012020516 -0.045575976 -0.006030892 -0.009759212 0.026382125 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.078027926 -0.01036264 -0.006297070 -0.018930362 -0.012313163 + expected$covM1$Item19[1, ] 0.078027865 -0.01036266 -0.006297082 -0.018930344 -0.012313140 - actual$covM1$Item19[2, ] -0.010362636 0.12480409 0.020498902 0.052043046 -0.059447447 + expected$covM1$Item19[2, ] -0.010362665 0.12480452 0.020498987 0.052043164 -0.059447623 - actual$covM1$Item19[3, ] -0.006297070 0.02049890 0.012698783 0.008692298 -0.009960841 + expected$covM1$Item19[3, ] -0.006297082 0.02049899 0.012698805 0.008692324 -0.009960876 - actual$covM1$Item19[4, ] -0.018930362 0.05204305 0.008692298 0.025333645 -0.022091699 + expected$covM1$Item19[4, ] -0.018930344 0.05204316 0.008692324 0.025333659 -0.022091746 - actual$covM1$Item19[5, ] -0.012313163 -0.05944745 -0.009960841 -0.022091699 0.033300060 + expected$covM1$Item19[5, ] -0.012313140 -0.05944762 -0.009960876 -0.022091746 0.033300125 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.085480528 -0.00171849 -0.010946815 -0.005364381 -0.022613780 + expected$covM1$Item20[1, ] 0.085480392 -0.00171942 -0.010946766 -0.005364424 -0.022613297 - actual$covM1$Item20[2, ] -0.001718490 0.15586900 -0.023641734 0.016043065 -0.066798905 + expected$covM1$Item20[2, ] -0.001719420 0.15586933 -0.023641348 0.016042894 -0.066798608 - actual$covM1$Item20[3, ] -0.010946815 -0.02364173 0.026229527 -0.002529146 0.010504311 + expected$covM1$Item20[3, ] -0.010946766 -0.02364135 0.026229599 -0.002529074 0.010504071 - actual$covM1$Item20[4, ] -0.005364381 0.01604306 -0.002529146 0.002297106 -0.005781562 + expected$covM1$Item20[4, ] -0.005364424 0.01604289 -0.002529074 0.002297059 -0.005781457 - actual$covM1$Item20[5, ] -0.022613780 -0.06679891 0.010504311 -0.005781562 0.036901805 + expected$covM1$Item20[5, ] -0.022613297 -0.06679861 0.010504071 -0.005781457 0.036901456 ── Failure ('test-difNLR.R:118:3'): difNLR - examples at help page ───────────── Expected `fit9` to equal `fit9_expected`. Differences: `actual$nlrPAR[[7]]`: 0.552188439 0.689291692 0.272423602 0.000000000 `expected$nlrPAR[[7]]`: 0.552188451 0.689291690 0.272423576 0.000000000 `actual$nlrPAR[[10]]`: 0.281290398 0.611640553 0.092852151 0.000000000 `expected$nlrPAR[[10]]`: 0.281290404 0.611640549 0.092852128 0.000000000 `actual$nlrSE[[7]]`: 0.067721747 0.056696510 0.096835714 0.000000000 `expected$nlrSE[[7]]`: 0.067721748 0.056696509 0.096835717 0.000000000 `actual$nlrSE[[10]]`: 0.066083583 0.053634794 0.093527262 0.000000000 `expected$nlrSE[[10]]`: 0.066083583 0.053634793 0.093527266 0.000000000 `actual$parM0$Item7`: 0.552188439 0.689291692 0.272423602 `expected$parM0$Item7`: 0.552188451 0.689291690 0.272423576 `actual$parM0$Item10`: 0.281290398 0.611640553 0.092852151 `expected$parM0$Item10`: 0.281290404 0.611640549 0.092852128 `actual$seM0$Item7`: 0.067721747 0.056696510 0.096835714 `expected$seM0$Item7`: 0.067721748 0.056696509 0.096835717 `actual$seM0$Item10`: 0.066083583 0.053634794 0.093527262 `expected$seM0$Item10`: 0.066083583 0.053634793 0.093527266 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] - actual$covM0$Item7[1, ] 0.0045862351 0.0007942599 -0.0042944437 + expected$covM0$Item7[1, ] 0.0045862352 0.0007942599 -0.0042944438 - actual$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866655 + expected$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866656 - actual$covM0$Item7[3, ] -0.0042944437 0.0003866655 0.0093771555 + expected$covM0$Item7[3, ] -0.0042944438 0.0003866656 0.0093771560 actual$covM0$Item10 vs expected$covM0$Item10 [,1] [,2] [,3] - actual$covM0$Item10[1, ] 0.0043670400 0.0003455708 -0.0043116925 + expected$covM0$Item10[1, ] 0.0043670400 0.0003455710 -0.0043116927 - actual$covM0$Item10[2, ] 0.0003455708 0.0028766911 0.0001151672 + expected$covM0$Item10[2, ] 0.0003455710 0.0028766910 0.0001151668 - actual$covM0$Item10[3, ] -0.0043116925 0.0001151672 0.0087473487 + expected$covM0$Item10[3, ] -0.0043116927 0.0001151668 0.0087473494 `actual$parM1$Item1`: 0.555393692 0.995464991 -0.865126851 -0.152420868 `expected$parM1$Item1`: 0.555393699 0.995465005 -0.865126856 -0.152420890 `actual$parM1$Item7`: 0.559439988 0.719833883 0.252572198 -0.063833226 `expected$parM1$Item7`: 0.559439989 0.719833875 0.252572202 -0.063833206 `actual$seM1$Item1`: 0.074604012 0.094516054 0.100535023 0.126653526 `expected$seM1$Item1`: 0.074604014 0.094516056 0.100535024 0.126653528 `actual$seM1$Item7`: 0.069709755 0.079613910 0.102734359 0.113448595 `expected$seM1$Item7`: 0.069709754 0.079613908 0.102734368 0.113448579 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] actual$covM1$Item1[1, ] 0.005565759 0.002338469 -0.005565759 -0.002338469 - actual$covM1$Item1[2, ] 0.002338469 0.008933284 -0.002338469 -0.008933284 + expected$covM1$Item1[2, ] 0.002338469 0.008933285 -0.002338469 -0.008933285 - actual$covM1$Item1[3, ] -0.005565759 -0.002338469 0.010107291 0.001271138 + expected$covM1$Item1[3, ] -0.005565759 -0.002338469 0.010107291 0.001271137 - actual$covM1$Item1[4, ] -0.002338469 -0.008933284 0.001271138 0.016041116 + expected$covM1$Item1[4, ] -0.002338469 -0.008933285 0.001271137 0.016041116 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] actual$covM1$Item7[1, ] 0.004859450 0.001607575 -0.004859450 -0.001607575 - actual$covM1$Item7[2, ] 0.001607575 0.006338375 -0.001607574 -0.006338375 + expected$covM1$Item7[2, ] 0.001607575 0.006338374 -0.001607575 -0.006338374 - actual$covM1$Item7[3, ] -0.004859450 -0.001607574 0.010554349 0.003928016 + expected$covM1$Item7[3, ] -0.004859450 -0.001607575 0.010554350 0.003928018 - actual$covM1$Item7[4, ] -0.001607575 -0.006338375 0.003928016 0.012870584 + expected$covM1$Item7[4, ] -0.001607575 -0.006338374 0.003928018 0.012870580 ── Failure ('test-difNLR.R:125:3'): difNLR - examples at help page ───────────── Expected `fit10` to equal `fit10_expected`. Differences: actual$Sval | expected$Sval [1] 17.361216722 - 17.361216723 [1] [2] 17.530657768 - 17.530658537 [2] [3] 0.033715447 | 0.033715447 [3] [4] 0.023932494 | 0.023932494 [4] [5] 0.000672725 | 0.000672725 [5] [6] 0.050701808 | 0.050701808 [6] [7] 3.309456762 | 3.309456762 [7] [8] 1.355637176 - 1.355637177 [8] [9] 0.193592961 - 0.193592964 [9] [10] 0.476012745 - 0.476012747 [10] ... ... ... and 10 more ... actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] 0.3522164 - 0.3522154 [1] [2] 1.1628554 - 1.1628422 [2] [3] -1.1548150 - -1.1547911 [3] [4] 0.1343236 - 0.1343193 [4] [5] 0.9788198 - 0.9788227 [5] [6] 0.0211802 - 0.0211773 [6] actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.9730745 - 0.9730623 [1] [2] 1.1284503 - 1.1284707 [2] [3] -1.0220872 - -1.0220973 [3] [4] 0.0819974 - 0.0820023 [4] [5] 0.8459763 - 0.8459750 [5] [6] 0.1540237 - 0.1540250 [6] actual$nlrPAR[[3]] | expected$nlrPAR[[3]] [1] 1.559325616 - 1.559322808 [1] [2] 0.925372282 - 0.925370930 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.891940685 - 0.891941040 [5] [6] 0.019271697 - 0.019271712 [6] actual$nlrPAR[[4]] | expected$nlrPAR[[4]] [1] 1.370355183 - 1.370347660 [1] [2] 0.703481071 - 0.703483039 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.091938415 - 0.091943776 [4] [5] 0.961753022 - 0.961752957 [5] [6] 0.038246978 - 0.038247043 [6] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.051677451 - 0.051677078 [4] [5] 0.997704129 - 0.997704122 [5] [6] 0.002295871 - 0.002295878 [6] actual$nlrPAR[[12]] | expected$nlrPAR[[12]] [1] -0.33050026 - -0.33049667 [1] [2] 0.92059130 - 0.92058988 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.21394314 - 0.21394223 [4] [5] 0.97582647 - 0.97582636 [5] [6] 0.02417353 - 0.02417364 [6] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] 0.661473489 - 0.661475683 [1] [2] 0.968249025 - 0.968251658 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.351005488 - 0.351005982 [4] [5] 0.947240418 - 0.947239791 [5] [6] 0.039604464 - 0.039604518 [6] actual$nlrPAR[[16]] | expected$nlrPAR[[16]] [1] -0.5041706 - -0.5041613 [1] [2] 1.0814097 - 1.0814053 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0768306 - 0.0768282 [4] [5] 1.0000000 | 1.0000000 [5] [6] 0.0000000 | 0.0000000 [6] actual$nlrPAR[[17]] | expected$nlrPAR[[17]] [1] -0.38705474 - -0.38701781 [1] [2] 0.67622539 - 0.67621136 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.08912856 - 0.08911714 [4] [5] 0.93325607 - 0.93325540 [5] [6] 0.06674393 - 0.06674460 [6] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.508888829 - -0.508888930 [1] [2] 1.031919172 - 1.031919231 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.031011704 - 0.031011734 [4] [5] 0.966871415 | 0.966871415 [5] [6] 0.033128585 | 0.033128585 [6] actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$nlrPAR[[20]] | expected$nlrPAR[[20]] [1] -1.30687434 - -1.30688602 [1] [2] 1.27596172 - 1.27596932 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.20314375 - 0.20314506 [4] [5] 1.00000000 | 1.00000000 [5] [6] -0.04483632 - -0.04483572 [6] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.244158599 - 0.244158657 [1] [2] 0.291675026 - 0.291674027 [2] [3] 0.341278122 - 0.341276339 [3] [4] 0.067338242 - 0.067339936 [4] [5] 0.083501697 - 0.083503183 [5] [6] 0.105691321 - 0.105691296 [6] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.27892017 - 0.27891845 [1] [2] 0.32564399 - 0.32564338 [2] [3] 0.29558745 - 0.29558692 [3] [4] 0.11291167 - 0.11290662 [4] [5] 0.06150765 - 0.06150649 [5] [6] 0.07960724 - 0.07960666 [6] actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.502732434 - 0.502733035 [1] [2] 0.466461979 - 0.466462102 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.542909142 - 0.542909937 [4] [5] 0.065382881 - 0.065383111 [5] [6] 0.024213777 - 0.024213787 [6] actual$nlrSE[[4]] | expected$nlrSE[[4]] [1] 0.844006898 - 0.843998826 [1] [2] 0.543528693 - 0.543529167 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.883264997 - 0.883251051 [4] [5] 0.106288061 - 0.106287822 [5] [6] 0.023778906 - 0.023778949 [6] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.477252118 - 0.477252149 [4] [5] 0.143832805 - 0.143832803 [5] [6] 0.030632741 | 0.030632741 [6] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.433897776 - 0.433898621 [4] [5] 0.286004872 - 0.286005089 [5] [6] 0.036888569 - 0.036888559 [6] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.332017493 - 0.332017614 [1] [2] 0.437531591 - 0.437531524 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.122381857 - 0.122382484 [4] [5] 0.184790092 - 0.184790235 [5] [6] 0.045082979 - 0.045082924 [6] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.380291318 - 0.380290817 [1] [2] 0.487054919 - 0.487054921 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.192977603 - 0.192976694 [4] [5] 0.082621362 - 0.082620883 [5] [6] 0.028677684 - 0.028677666 [6] actual$nlrSE[[16]] | expected$nlrSE[[16]] [1] 0.226830270 - 0.226830358 [1] [2] 0.317625646 - 0.317625371 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.079105873 - 0.079106810 [4] [5] 0.142260702 - 0.142261074 [5] [6] 0.044847827 - 0.044847700 [6] actual$nlrSE[[17]] | expected$nlrSE[[17]] [1] 0.46999990 - 0.47000361 [1] [2] 0.52702339 - 0.52702666 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.22551862 - 0.22553437 [4] [5] 0.39826325 - 0.39827087 [5] [6] 0.05207224 - 0.05207152 [6] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.229165333 - 0.229165340 [1] [2] 0.313859053 - 0.313859107 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.084665075 - 0.084665069 [4] [5] 0.154396751 - 0.154396749 [5] [6] 0.045079805 - 0.045079807 [6] actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.28424666 - 0.28424653 [1] [2] 0.40295921 - 0.40295954 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.04489788 - 0.04489736 [4] [5] 0.18144840 - 0.18144733 [5] [6] 0.06188552 - 0.06188565 [6] `actual$parM0$Item2`: 0.1428909 1.0783752 0.1290609 1.0000000 -0.0766246 `expected$parM0$Item2`: 0.1428665 1.0784005 0.1290731 1.0000000 -0.0766302 actual$parM0$Item3 | expected$parM0$Item3 [1] 1.559325616 - 1.559322808 [1] [2] 0.925372282 - 0.925370930 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.891940685 - 0.891941040 [4] [5] 0.019271697 - 0.019271712 [5] actual$parM0$Item4 | expected$parM0$Item4 [1] 1.370355183 - 1.370347660 [1] [2] 0.703481071 - 0.703483039 [2] [3] 0.091938415 - 0.091943776 [3] [4] 0.961753022 - 0.961752957 [4] [5] 0.038246978 - 0.038247043 [5] actual$parM0$Item9 | expected$parM0$Item9 [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.051677451 - 0.051677078 [3] [4] 0.997704129 - 0.997704122 [4] [5] 0.002295871 - 0.002295878 [5] `actual$parM0$Item12`: -0.33050026 0.92059130 0.21394314 0.97582647 0.02417353 `expected$parM0$Item12`: -0.33049667 0.92058988 0.21394223 0.97582636 0.02417364 actual$parM0$Item13 | expected$parM0$Item13 [1] 0.661473489 - 0.661475683 [1] [2] 0.968249025 - 0.968251658 [2] [3] 0.351005488 - 0.351005982 [3] [4] 0.947240418 - 0.947239791 [4] [5] 0.039604464 - 0.039604518 [5] `actual$parM0$Item16`: -0.5041706 1.0814097 0.0768306 1.0000000 0.0000000 `expected$parM0$Item16`: -0.5041613 1.0814053 0.0768282 1.0000000 0.0000000 `actual$parM0$Item17`: -0.38705474 0.67622539 0.08912856 0.93325607 0.06674393 `expected$parM0$Item17`: -0.38701781 0.67621136 0.08911714 0.93325540 0.06674460 actual$parM0$Item18 | expected$parM0$Item18 [1] -0.508888829 - -0.508888930 [1] [2] 1.031919172 - 1.031919231 [2] [3] 0.031011704 - 0.031011734 [3] [4] 0.966871415 | 0.966871415 [4] [5] 0.033128585 | 0.033128585 [5] actual$parM0$Item20 | expected$parM0$Item20 [1] -1.30687434 - -1.30688602 [1] [2] 1.27596172 - 1.27596932 [2] [3] 0.20314375 - 0.20314506 [3] [4] 1.00000000 | 1.00000000 [4] [5] -0.04483632 - -0.04483572 [5] `actual$seM0$Item2`: 0.24677535 0.34322307 0.11349660 0.09926591 0.03643916 `expected$seM0$Item2`: 0.24677318 0.34322323 0.11348925 0.09926321 0.03643944 actual$seM0$Item3 | expected$seM0$Item3 [1] 0.502732434 - 0.502733035 [1] [2] 0.466461979 - 0.466462102 [2] [3] 0.542909142 - 0.542909937 [3] [4] 0.065382881 - 0.065383111 [4] [5] 0.024213777 - 0.024213787 [5] actual$seM0$Item4 | expected$seM0$Item4 [1] 0.844006898 - 0.843998826 [1] [2] 0.543528693 - 0.543529167 [2] [3] 0.883264997 - 0.883251051 [3] [4] 0.106288061 - 0.106287822 [4] [5] 0.023778906 - 0.023778949 [5] actual$seM0$Item7 | expected$seM0$Item7 [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.477252118 - 0.477252149 [3] [4] 0.143832805 - 0.143832803 [4] [5] 0.030632741 | 0.030632741 [5] actual$seM0$Item9 | expected$seM0$Item9 [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.433897776 - 0.433898621 [3] [4] 0.286004872 - 0.286005089 [4] [5] 0.036888569 - 0.036888559 [5] actual$seM0$Item12 | expected$seM0$Item12 [1] 0.332017493 - 0.332017614 [1] [2] 0.437531591 - 0.437531524 [2] [3] 0.122381857 - 0.122382484 [3] [4] 0.184790092 - 0.184790235 [4] [5] 0.045082979 - 0.045082924 [5] actual$seM0$Item13 | expected$seM0$Item13 [1] 0.380291318 - 0.380290817 [1] [2] 0.487054919 - 0.487054921 [2] [3] 0.192977603 - 0.192976694 [3] [4] 0.082621362 - 0.082620883 [4] [5] 0.028677684 - 0.028677666 [5] actual$seM0$Item16 | expected$seM0$Item16 [1] 0.226830270 - 0.226830358 [1] [2] 0.317625646 - 0.317625371 [2] [3] 0.079105873 - 0.079106810 [3] [4] 0.142260702 - 0.142261074 [4] [5] 0.044847827 - 0.044847700 [5] `actual$seM0$Item17`: 0.46999990 0.52702339 0.22551862 0.39826325 0.05207224 `expected$seM0$Item17`: 0.47000361 0.52702666 0.22553437 0.39827087 0.05207152 actual$seM0$Item18 | expected$seM0$Item18 [1] 0.229165333 - 0.229165340 [1] [2] 0.313859053 - 0.313859107 [2] [3] 0.084665075 - 0.084665069 [3] [4] 0.154396751 - 0.154396749 [4] [5] 0.045079805 - 0.045079807 [5] `actual$seM0$Item20`: 0.28424666 0.40295921 0.04489788 0.18144840 0.06188552 `expected$seM0$Item20`: 0.28424653 0.40295954 0.04489736 0.18144733 0.06188565 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item2[1, ] 0.060898071 -0.0013525890 -1.140363e-02 -0.009817049 1.476105e-03 + expected$covM0$Item2[1, ] 0.060897003 -0.0013519911 -1.140277e-02 -0.009817005 1.476183e-03 - actual$covM0$Item2[2, ] -0.001352589 0.1178020734 3.462824e-02 -0.029227302 7.117625e-04 + expected$covM0$Item2[2, ] -0.001351991 0.1178021874 3.462582e-02 -0.029226320 7.118588e-04 - actual$covM0$Item2[3, ] -0.011403627 0.0346282387 1.288148e-02 -0.007191200 -5.909539e-05 + expected$covM0$Item2[3, ] -0.011402771 0.0346258153 1.287981e-02 -0.007190398 -5.908444e-05 - actual$covM0$Item2[4, ] -0.009817049 -0.0292273019 -7.191200e-03 0.009853721 -1.067770e-03 + expected$covM0$Item2[4, ] -0.009817005 -0.0292263197 -7.190398e-03 0.009853186 -1.067807e-03 - actual$covM0$Item2[5, ] 0.001476105 0.0007117625 -5.909539e-05 -0.001067770 1.327813e-03 + expected$covM0$Item2[5, ] 0.001476183 0.0007118588 -5.908444e-05 -0.001067807 1.327833e-03 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item3[1, ] 0.2527398998 -0.1160480250 -0.2095225794 0.0053572820 -0.0009003611 + expected$covM0$Item3[1, ] 0.2527405043 -0.1160484895 -0.2095233216 0.0053573625 -0.0009003657 - actual$covM0$Item3[2, ] -0.1160480250 0.2175867780 0.2354393736 -0.0271676659 0.0005548035 + expected$covM0$Item3[2, ] -0.1160484895 0.2175868924 0.2354398197 -0.0271677795 0.0005548059 - actual$covM0$Item3[3, ] -0.2095225794 0.2354393736 0.2947503368 -0.0260668881 0.0008662254 + expected$covM0$Item3[3, ] -0.2095233216 0.2354398197 0.2947511996 -0.0260670390 0.0008662298 - actual$covM0$Item3[4, ] 0.0053572820 -0.0271676659 -0.0260668881 0.0042749211 -0.0003318366 + expected$covM0$Item3[4, ] 0.0053573625 -0.0271677795 -0.0260670390 0.0042749512 -0.0003318372 - actual$covM0$Item3[5, ] -0.0009003611 0.0005548035 0.0008662254 -0.0003318366 0.0005863070 + expected$covM0$Item3[5, ] -0.0009003657 0.0005548059 0.0008662298 -0.0003318372 0.0005863075 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item4[1, ] 0.712347644 -0.328085169 -0.665187408 0.0434450756 -0.0057065628 + expected$covM0$Item4[1, ] 0.712334018 -0.328080797 -0.665168991 0.0434441520 -0.0057065351 - actual$covM0$Item4[2, ] -0.328085169 0.295423441 0.456099525 -0.0542842416 0.0028357335 + expected$covM0$Item4[2, ] -0.328080797 0.295423955 0.456092682 -0.0542841521 0.0028357484 - actual$covM0$Item4[3, ] -0.665187408 0.456099525 0.780157055 -0.0770812908 0.0055440214 + expected$covM0$Item4[3, ] -0.665168991 0.456092682 0.780132419 -0.0770798607 0.0055439604 - actual$covM0$Item4[4, ] 0.043445076 -0.054284242 -0.077081291 0.0112971518 -0.0006570195 + expected$covM0$Item4[4, ] 0.043444152 -0.054284152 -0.077079861 0.0112971012 -0.0006570207 - actual$covM0$Item4[5, ] -0.005706563 0.002835733 0.005544021 -0.0006570195 0.0005654364 + expected$covM0$Item4[5, ] -0.005706535 0.002835748 0.005543960 -0.0006570207 0.0005654384 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item7[1, ] 0.212362808 -0.094143900 -0.156584884 0.0119019143 -0.0037323225 + expected$covM0$Item7[1, ] 0.212362860 -0.094143928 -0.156584925 0.0119019169 -0.0037323230 - actual$covM0$Item7[2, ] -0.094143900 0.198520630 0.200777938 -0.0601200805 0.0016901313 + expected$covM0$Item7[2, ] -0.094143928 0.198520639 0.200777955 -0.0601200800 0.0016901308 - actual$covM0$Item7[3, ] -0.156584884 0.200777938 0.227769584 -0.0556754197 0.0027817835 + expected$covM0$Item7[3, ] -0.156584925 0.200777955 0.227769613 -0.0556754204 0.0027817831 - actual$covM0$Item7[4, ] 0.011901914 -0.060120080 -0.055675420 0.0206878757 -0.0006579880 + expected$covM0$Item7[4, ] 0.011901917 -0.060120080 -0.055675420 0.0206878753 -0.0006579877 - actual$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579880 0.0009383648 + expected$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579877 0.0009383648 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item9[1, ] 0.2160098974 -6.476477e-02 -1.030129e-01 -0.0022779940 -1.760865e-04 + expected$covM0$Item9[1, ] 0.2160100606 -6.476500e-02 -1.030133e-01 -0.0022778702 -1.760864e-04 - actual$covM0$Item9[2, ] -0.0647647690 2.836012e-01 2.213988e-01 -0.1449467105 1.480259e-05 + expected$covM0$Item9[2, ] -0.0647650005 2.836015e-01 2.213994e-01 -0.1449469175 1.480101e-05 - actual$covM0$Item9[3, ] -0.1030129342 2.213988e-01 1.882673e-01 -0.1051302805 5.657609e-05 + expected$covM0$Item9[3, ] -0.1030132619 2.213994e-01 1.882680e-01 -0.1051305951 5.657496e-05 - actual$covM0$Item9[4, ] -0.0022779940 -1.449467e-01 -1.051303e-01 0.0817987867 -6.575088e-04 + expected$covM0$Item9[4, ] -0.0022778702 -1.449469e-01 -1.051306e-01 0.0817989109 -6.575075e-04 - actual$covM0$Item9[5, ] -0.0001760865 1.480259e-05 5.657609e-05 -0.0006575088 1.360767e-03 + expected$covM0$Item9[5, ] -0.0001760864 1.480101e-05 5.657496e-05 -0.0006575075 1.360766e-03 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item12[1, ] 0.110235616 0.0056311644 -1.267221e-02 -0.0240119470 -1.135891e-03 + expected$covM0$Item12[1, ] 0.110235696 0.0056311406 -1.267228e-02 -0.0240119428 -1.135896e-03 - actual$covM0$Item12[2, ] 0.005631164 0.1914338930 4.891929e-02 -0.0735052966 -8.883662e-04 + expected$covM0$Item12[2, ] 0.005631141 0.1914338346 4.891955e-02 -0.0735053598 -8.883649e-04 - actual$covM0$Item12[3, ] -0.012672215 0.0489192890 1.497732e-02 -0.0166032350 -8.474088e-05 + expected$covM0$Item12[3, ] -0.012672280 0.0489195461 1.497747e-02 -0.0166033456 -8.474056e-05 - actual$covM0$Item12[4, ] -0.024011947 -0.0735052966 -1.660323e-02 0.0341473780 -4.471782e-04 + expected$covM0$Item12[4, ] -0.024011943 -0.0735053598 -1.660335e-02 0.0341474308 -4.471749e-04 - actual$covM0$Item12[5, ] -0.001135891 -0.0008883662 -8.474088e-05 -0.0004471782 2.032475e-03 + expected$covM0$Item12[5, ] -0.001135896 -0.0008883649 -8.474056e-05 -0.0004471749 2.032470e-03 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item13[1, ] 0.144621487 -0.0250044720 -0.0359607869 -0.0067896009 -0.0015065413 + expected$covM0$Item13[1, ] 0.144621105 -0.0250040336 -0.0359604733 -0.0067896313 -0.0015065367 - actual$covM0$Item13[2, ] -0.025004472 0.2372224941 0.0858856842 -0.0358947002 0.0001366984 + expected$covM0$Item13[2, ] -0.025004034 0.2372224957 0.0858852456 -0.0358944696 0.0001366962 - actual$covM0$Item13[3, ] -0.035960787 0.0858856842 0.0372403553 -0.0114542106 0.0003322679 + expected$covM0$Item13[3, ] -0.035960473 0.0858852456 0.0372400043 -0.0114540739 0.0003322655 - actual$covM0$Item13[4, ] -0.006789601 -0.0358947002 -0.0114542106 0.0068262895 -0.0003128964 + expected$covM0$Item13[4, ] -0.006789631 -0.0358944696 -0.0114540739 0.0068262103 -0.0003128961 - actual$covM0$Item13[5, ] -0.001506541 0.0001366984 0.0003322679 -0.0003128964 0.0008224096 + expected$covM0$Item13[5, ] -0.001506537 0.0001366962 0.0003322655 -0.0003128961 0.0008224085 actual$covM0$Item16 vs expected$covM0$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item16[1, ] 5.145197e-02 -1.945689e-03 -7.215139e-03 -0.012085237 -1.665335e-16 + expected$covM0$Item16[1, ] 5.145201e-02 -1.945515e-03 -7.215178e-03 -0.012085311 6.591949e-17 - actual$covM0$Item16[2, ] -1.945689e-03 1.008861e-01 2.222823e-02 -0.039681673 -5.134781e-16 + expected$covM0$Item16[2, ] -1.945515e-03 1.008859e-01 2.222850e-02 -0.039681778 2.706169e-16 - actual$covM0$Item16[3, ] -7.215139e-03 2.222823e-02 6.257739e-03 -0.007484560 -9.627715e-17 + expected$covM0$Item16[3, ] -7.215178e-03 2.222850e-02 6.257887e-03 -0.007484688 5.290907e-17 - actual$covM0$Item16[4, ] -1.208524e-02 -3.968167e-02 -7.484560e-03 0.020238107 -1.005664e-03 + expected$covM0$Item16[4, ] -1.208531e-02 -3.968178e-02 -7.484688e-03 0.020238213 -1.005658e-03 - actual$covM0$Item16[5, ] -1.665335e-16 -5.134781e-16 -9.627715e-17 -0.001005664 2.011328e-03 + expected$covM0$Item16[5, ] 6.591949e-17 2.706169e-16 5.290907e-17 -0.001005658 2.011316e-03 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item17[1, ] 0.220899909 0.063060775 -0.003938132 -0.096549727 -0.007988273 + expected$covM0$Item17[1, ] 0.220903391 0.063058918 -0.003939229 -0.096549798 -0.007988350 - actual$covM0$Item17[2, ] 0.063060775 0.277753651 0.112613059 -0.199603673 -0.005653049 + expected$covM0$Item17[2, ] 0.063058918 0.277757105 0.112621848 -0.199609092 -0.005652894 - actual$covM0$Item17[3, ] -0.003938132 0.112613059 0.050858650 -0.074732503 -0.001334355 + expected$covM0$Item17[3, ] -0.003939229 0.112621848 0.050865750 -0.074739600 -0.001334374 - actual$covM0$Item17[4, ] -0.096549727 -0.199603673 -0.074732503 0.158613616 0.004535833 + expected$covM0$Item17[4, ] -0.096549798 -0.199609092 -0.074739600 0.158619688 0.004535847 - actual$covM0$Item17[5, ] -0.007988273 -0.005653049 -0.001334355 0.004535833 0.002711518 + expected$covM0$Item17[5, ] -0.007988350 -0.005652894 -0.001334374 0.004535847 0.002711444 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item18[1, ] 0.0525167499 0.0003233474 -7.087094e-03 -0.0136648837 -7.293543e-04 + expected$covM0$Item18[1, ] 0.0525167530 0.0003233403 -7.087094e-03 -0.0136648828 -7.293537e-04 - actual$covM0$Item18[2, ] 0.0003233474 0.0985075049 2.372801e-02 -0.0431393311 -7.047096e-04 + expected$covM0$Item18[2, ] 0.0003233403 0.0985075389 2.372801e-02 -0.0431393367 -7.047132e-04 - actual$covM0$Item18[3, ] -0.0070870935 0.0237280103 7.168175e-03 -0.0090113380 -7.055311e-05 + expected$covM0$Item18[3, ] -0.0070870943 0.0237280135 7.168174e-03 -0.0090113371 -7.055409e-05 - actual$covM0$Item18[4, ] -0.0136648837 -0.0431393311 -9.011338e-03 0.0238383568 -5.127081e-04 + expected$covM0$Item18[4, ] -0.0136648828 -0.0431393367 -9.011337e-03 0.0238383560 -5.127068e-04 - actual$covM0$Item18[5, ] -0.0007293543 -0.0007047096 -7.055311e-05 -0.0005127081 2.032189e-03 + expected$covM0$Item18[5, ] -0.0007293537 -0.0007047132 -7.055409e-05 -0.0005127068 2.032189e-03 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item20[1, ] 0.080796162 -0.020359587 -0.0068355422 -0.014236107 0.0013167562 + expected$covM0$Item20[1, ] 0.080796092 -0.020360526 -0.0068355428 -0.014235683 0.0013167167 - actual$covM0$Item20[2, ] -0.020359587 0.162376122 0.0151434957 -0.062778074 0.0023897305 + expected$covM0$Item20[2, ] -0.020360526 0.162376393 0.0151433002 -0.062777678 0.0023896946 - actual$covM0$Item20[3, ] -0.006835542 0.015143496 0.0020158201 -0.004851506 0.0001208842 + expected$covM0$Item20[3, ] -0.006835543 0.015143300 0.0020157725 -0.004851400 0.0001208804 - actual$covM0$Item20[4, ] -0.014236107 -0.062778074 -0.0048515063 0.032923522 -0.0032612581 + expected$covM0$Item20[4, ] -0.014235683 -0.062777678 -0.0048513999 0.032923134 -0.0032612366 - actual$covM0$Item20[5, ] 0.001316756 0.002389730 0.0001208842 -0.003261258 0.0038298177 + expected$covM0$Item20[5, ] 0.001316717 0.002389695 0.0001208804 -0.003261237 0.0038298339 actual$parM1$Item1 | expected$parM1$Item1 [1] 0.3522164 - 0.3522154 [1] [2] 1.1628554 - 1.1628422 [2] [3] -1.1548150 - -1.1547911 [3] [4] 0.1343236 - 0.1343193 [4] [5] 0.9788198 - 0.9788227 [5] [6] 0.0211802 - 0.0211773 [6] actual$parM1$Item2 | expected$parM1$Item2 [1] 0.9730745 - 0.9730623 [1] [2] 1.1284503 - 1.1284707 [2] [3] -1.0220872 - -1.0220973 [3] [4] 0.0819974 - 0.0820023 [4] [5] 0.8459763 - 0.8459750 [5] [6] 0.1540237 - 0.1540250 [6] actual$parM1$Item3 | expected$parM1$Item3 [1] 1.58391161 - 1.58390980 [1] [2] 0.92652999 - 0.92652947 [2] [3] -0.04434111 - -0.04433977 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.88842032 - 0.88842055 [5] [6] 0.02582253 - 0.02582235 [6] actual$parM1$Item4 | expected$parM1$Item4 [1] 1.31742041 - 1.31743143 [1] [2] 0.69924019 - 0.69923847 [2] [3] 0.03889977 - 0.03889712 [3] [4] 0.10164233 - 0.10163638 [4] [5] 0.96802661 - 0.96802628 [5] [6] 0.03197339 - 0.03197372 [6] actual$parM1$Item7 | expected$parM1$Item7 [1] 0.557582563 - 0.557582567 [1] [2] 0.712124973 - 0.712124987 [2] [3] 0.376374510 - 0.376374549 [3] [4] 0.000000000 | 0.000000000 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.030721341 - -0.030721351 [6] actual$parM1$Item8 | expected$parM1$Item8 [1] 0.37369295 - 0.37366610 [1] [2] 0.97941979 - 0.97943301 [2] [3] -0.35104333 - -0.35104442 [3] [4] 0.23483534 - 0.23484438 [4] [5] 0.88670196 - 0.88670130 [5] [6] 0.11329804 - 0.11329870 [6] actual$parM1$Item9 | expected$parM1$Item9 [1] 0.21059075 - 0.21058047 [1] [2] 0.66230127 - 0.66230203 [2] [3] 0.12122689 - 0.12121382 [3] [4] 0.06175724 - 0.06176228 [4] [5] 1.00000000 | 1.00000000 [5] [6] -0.03399225 - -0.03398806 [6] actual$parM1$Item10 | expected$parM1$Item10 [1] 0.16145075 - 0.16144182 [1] [2] 0.65676743 - 0.65676780 [2] [3] 0.14061890 - 0.14060469 [3] [4] 0.06100336 - 0.06100772 [4] [5] 1.00000000 | 1.00000000 [5] [6] -0.01685691 - -0.01685210 [6] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.8217973 - 0.8217999 [1] [2] 0.8928191 - 0.8928274 [2] [3] -0.0172571 - -0.0172997 [3] [4] 0.0355421 - 0.0355538 [4] [5] 1.0000000 | 1.0000000 [5] [6] -0.0147841 - -0.0147796 [6] actual$parM1$Item12 | expected$parM1$Item12 [1] -0.433879354 - -0.433877994 [1] [2] 0.921957306 - 0.921956480 [2] [3] 0.099763120 - 0.099763054 [3] [4] 0.220123677 - 0.220123328 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item13 | expected$parM1$Item13 [1] 0.51470837 - 0.51470742 [1] [2] 1.12597617 - 1.12598065 [2] [3] 0.18502702 - 0.18502470 [3] [4] 0.40484373 - 0.40484510 [4] [5] 0.94231767 - 0.94231712 [5] [6] 0.01518020 - 0.01518059 [6] actual$parM1$Item14 | expected$parM1$Item14 [1] -0.501624851 - -0.501625019 [1] [2] 0.864989151 - 0.864989228 [2] [3] 0.111855727 - 0.111855771 [3] [4] 0.063395655 - 0.063395703 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.054804694 - 0.054804718 [1] [2] 0.602405620 - 0.602404534 [2] [3] 0.120732813 - 0.120722474 [3] [4] 0.000000000 | 0.000000000 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.015114210 - -0.015110108 [6] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510654427 - -0.510654210 [1] [2] 1.080507996 - 1.080507944 [2] [3] 0.015599195 - 0.015598920 [3] [4] 0.076472713 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item17 | expected$parM1$Item17 [1] -0.565417320 - -0.565417083 [1] [2] 0.668092933 - 0.668092840 [2] [3] 0.188062868 - 0.188062853 [3] [4] 0.095143229 - 0.095143158 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.002212875 - -0.002212877 [6] actual$parM1$Item19 | expected$parM1$Item19 [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$parM1$Item20 | expected$parM1$Item20 [1] -1.19264580 - -1.19263706 [1] [2] 1.21870770 - 1.21870308 [2] [3] -0.19370835 - -0.19371091 [3] [4] 0.19584787 - 0.19584691 [4] [5] 1.00000000 | 1.00000000 [5] [6] 0.00000000 | 0.00000000 [6] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.244158599 - 0.244158657 [1] [2] 0.291675026 - 0.291674027 [2] [3] 0.341278122 - 0.341276339 [3] [4] 0.067338242 - 0.067339936 [4] [5] 0.083501697 - 0.083503183 [5] [6] 0.105691321 - 0.105691296 [6] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.27892017 - 0.27891845 [1] [2] 0.32564399 - 0.32564338 [2] [3] 0.29558745 - 0.29558692 [3] [4] 0.11291167 - 0.11290662 [4] [5] 0.06150765 - 0.06150649 [5] [6] 0.07960724 - 0.07960666 [6] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.523983440 - 0.523983750 [1] [2] 0.468580821 - 0.468580809 [2] [3] 0.242284118 - 0.242284142 [3] [4] 0.545102044 - 0.545102292 [4] [5] 0.065836527 - 0.065836635 [5] [6] 0.043302712 - 0.043302744 [6] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.919506290 - 0.919517805 [1] [2] 0.567693570 - 0.567695052 [2] [3] 0.278781541 - 0.278780639 [3] [4] 0.903640059 - 0.903659117 [4] [5] 0.109991108 - 0.109991304 [5] [6] 0.051005380 - 0.051005295 [6] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.515971308 - 0.515971341 [1] [2] 0.434907092 - 0.434907110 [2] [3] 0.303436153 - 0.303436189 [3] [4] 0.456730019 - 0.456730039 [4] [5] 0.168363776 - 0.168363774 [5] [6] 0.079816385 - 0.079816386 [6] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.369077934 - 0.369078012 [1] [2] 0.441530572 - 0.441531342 [2] [3] 0.314815052 - 0.314818594 [3] [4] 0.145963149 - 0.145956228 [4] [5] 0.102593305 - 0.102592261 [5] [6] 0.089116718 - 0.089117032 [6] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.48900242 - 0.48899985 [1] [2] 0.52280036 - 0.52280052 [2] [3] 0.30491162 - 0.30491287 [3] [4] 0.40295552 - 0.40294877 [4] [5] 0.27569953 - 0.27570046 [5] [6] 0.11103753 - 0.11103799 [6] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.49554985 - 0.49554751 [1] [2] 0.51799763 - 0.51799818 [2] [3] 0.31360685 - 0.31360760 [3] [4] 0.39476872 - 0.39476335 [4] [5] 0.28419455 - 0.28419578 [5] [6] 0.11396843 - 0.11396903 [6] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.321235041 - 0.321227844 [1] [2] 0.366685527 - 0.366684119 [2] [3] 0.216057368 - 0.216059189 [3] [4] 0.285358973 - 0.285346881 [4] [5] 0.098279056 - 0.098277317 [5] [6] 0.059399797 - 0.059399854 [6] actual$seM1$Item12 | expected$seM1$Item12 [1] 0.383353696 - 0.383353830 [1] [2] 0.435659073 - 0.435659161 [2] [3] 0.350389983 - 0.350389910 [3] [4] 0.118222389 - 0.118222686 [4] [5] 0.205472533 - 0.205472732 [5] [6] 0.124614197 - 0.124614214 [6] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.406683762 - 0.406683272 [1] [2] 0.494152562 - 0.494152882 [2] [3] 0.344586841 - 0.344587242 [3] [4] 0.131101410 - 0.131100082 [4] [5] 0.071859854 - 0.071859455 [5] [6] 0.054638786 - 0.054638698 [6] actual$seM1$Item14 | expected$seM1$Item14 [1] 0.344221248 - 0.344221226 [1] [2] 0.379547996 - 0.379547886 [2] [3] 0.307898170 - 0.307898202 [3] [4] 0.127286626 - 0.127286559 [4] [5] 0.244256576 - 0.244256518 [5] [6] 0.137244654 - 0.137244661 [6] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.518610350 - 0.518609518 [1] [2] 0.545865514 - 0.545866110 [2] [3] 0.324778734 - 0.324778354 [3] [4] 0.450021873 - 0.450022570 [4] [5] 0.381853227 - 0.381854820 [5] [6] 0.134869288 - 0.134869385 [6] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.263698545 - 0.263698513 [1] [2] 0.317694306 - 0.317694305 [2] [3] 0.265000935 - 0.265001108 [3] [4] 0.079289066 - 0.079289074 [4] [5] 0.151292325 - 0.151292374 [5] [6] 0.108903022 - 0.108903021 [6] actual$seM1$Item17 | expected$seM1$Item17 [1] 0.545706297 - 0.545706323 [1] [2] 0.531585037 - 0.531584971 [2] [3] 0.426173929 - 0.426173837 [3] [4] 0.221915576 - 0.221915642 [4] [5] 0.479880484 - 0.479880461 [5] [6] 0.196364969 - 0.196364936 [6] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.32800332 - 0.32800310 [1] [2] 0.39582449 - 0.39582415 [2] [3] 0.39184376 - 0.39184352 [3] [4] 0.04796078 - 0.04796115 [4] [5] 0.20022351 - 0.20022404 [5] [6] 0.16242614 - 0.16242629 [6] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item1[1, ] 0.059613422 0.033895622 -0.03788908 0.0013905097 -0.0162713911 -0.0012268606 + expected$covM1$Item1[1, ] 0.059613450 0.033895451 -0.03788849 0.0013905550 -0.0162716520 -0.0012268058 - actual$covM1$Item1[2, ] 0.033895622 0.085074321 -0.05659230 0.0163628933 -0.0200489755 -0.0092489002 + expected$covM1$Item1[2, ] 0.033895451 0.085073738 -0.05659170 0.0163633066 -0.0200493442 -0.0092486969 - actual$covM1$Item1[3, ] -0.037889081 -0.056592301 0.11647076 -0.0140778629 0.0185983480 -0.0191013262 + expected$covM1$Item1[3, ] -0.037888488 -0.056591700 0.11646954 -0.0140781639 0.0185985489 -0.0191014640 - actual$covM1$Item1[4, ] 0.001390510 0.016362893 -0.01407786 0.0045344388 -0.0033524127 -0.0007070077 + expected$covM1$Item1[4, ] 0.001390555 0.016363307 -0.01407816 0.0045346669 -0.0033525866 -0.0007070006 - actual$covM1$Item1[5, ] -0.016271391 -0.020048976 0.01859835 -0.0033524127 0.0069725334 0.0005040654 + expected$covM1$Item1[5, ] -0.016271652 -0.020049344 0.01859855 -0.0033525866 0.0069727816 0.0005040511 - actual$covM1$Item1[6, ] -0.001226861 -0.009248900 -0.01910133 -0.0007070077 0.0005040654 0.0111706553 + expected$covM1$Item1[6, ] -0.001226806 -0.009248697 -0.01910146 -0.0007070006 0.0005040511 0.0111706500 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item2[1, ] 0.077796459 0.03645455 -0.043232356 0.001053448 -0.0127627154 -0.0023512083 + expected$covM1$Item2[1, ] 0.077795502 0.03645450 -0.043232744 0.001053418 -0.0127624706 -0.0023510213 - actual$covM1$Item2[2, ] 0.036454550 0.10604401 -0.052049933 0.032038926 -0.0158693155 -0.0120182341 + expected$covM1$Item2[2, ] 0.036454501 0.10604361 -0.052049456 0.032037316 -0.0158688601 -0.0120180478 - actual$covM1$Item2[3, ] -0.043232356 -0.05204993 0.087371940 -0.018067592 0.0127413555 -0.0086773373 + expected$covM1$Item2[3, ] -0.043232744 -0.05204946 0.087371628 -0.018066549 0.0127410816 -0.0086773384 - actual$covM1$Item2[4, ] 0.001053448 0.03203893 -0.018067592 0.012749045 -0.0042070053 -0.0025155422 + expected$covM1$Item2[4, ] 0.001053418 0.03203732 -0.018066549 0.012747904 -0.0042066758 -0.0025153879 - actual$covM1$Item2[5, ] -0.012762715 -0.01586932 0.012741355 -0.004207005 0.0037831915 0.0007161761 + expected$covM1$Item2[5, ] -0.012762471 -0.01586886 0.012741082 -0.004206676 0.0037830487 0.0007161043 - actual$covM1$Item2[6, ] -0.002351208 -0.01201823 -0.008677337 -0.002515542 0.0007161761 0.0063373128 + expected$covM1$Item2[6, ] -0.002351021 -0.01201805 -0.008677338 -0.002515388 0.0007161043 0.0063372197 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item3[1, ] 0.274558646 -0.119836257 -0.035376431 -0.214245199 0.0028584342 0.0047904822 + expected$covM1$Item3[1, ] 0.274558970 -0.119836488 -0.035376533 -0.214245549 0.0028584671 0.0047904900 - actual$covM1$Item3[2, ] -0.119836257 0.219567986 0.004694018 0.237608307 -0.0262372950 -0.0015761170 + expected$covM1$Item3[2, ] -0.119836488 0.219567975 0.004694152 0.237608422 -0.0262373422 -0.0015760960 - actual$covM1$Item3[3, ] -0.035376431 0.004694018 0.058701594 0.006219013 0.0039069809 -0.0086821575 + expected$covM1$Item3[3, ] -0.035376533 0.004694152 0.058701605 0.006219180 0.0039069696 -0.0086821686 - actual$covM1$Item3[4, ] -0.214245199 0.237608307 0.006219013 0.297136238 -0.0250393159 -0.0014964566 + expected$covM1$Item3[4, ] -0.214245549 0.237608422 0.006219180 0.297136509 -0.0250393742 -0.0014964408 - actual$covM1$Item3[5, ] 0.002858434 -0.026237295 0.003906981 -0.025039316 0.0043344483 -0.0007122021 + expected$covM1$Item3[5, ] 0.002858467 -0.026237342 0.003906970 -0.025039374 0.0043344625 -0.0007122066 - actual$covM1$Item3[6, ] 0.004790482 -0.001576117 -0.008682158 -0.001496457 -0.0007122021 0.0018751249 + expected$covM1$Item3[6, ] 0.004790490 -0.001576096 -0.008682169 -0.001496441 -0.0007122066 0.0018751276 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item4[1, ] 0.84549182 -0.386584423 -0.117704432 -0.746137161 0.0455763236 0.0113227776 + expected$covM1$Item4[1, ] 0.84551299 -0.386592790 -0.117704873 -0.746164504 0.0455777629 0.0113228784 - actual$covM1$Item4[2, ] -0.38658442 0.322275989 0.054566879 0.489632732 -0.0567960503 -0.0036354969 + expected$covM1$Item4[2, ] -0.38659279 0.322277672 0.054566626 0.489644535 -0.0567963466 -0.0036355950 - actual$covM1$Item4[3, ] -0.11770443 0.054566879 0.077719148 0.090915108 -0.0027904554 -0.0123827419 + expected$covM1$Item4[3, ] -0.11770487 0.054566626 0.077718645 0.090916307 -0.0027904548 -0.0123826952 - actual$covM1$Item4[4, ] -0.74613716 0.489632732 0.090915108 0.816565356 -0.0787108976 -0.0059678961 + expected$covM1$Item4[4, ] -0.74616450 0.489644535 0.090916307 0.816599800 -0.0787128583 -0.0059681281 - actual$covM1$Item4[5, ] 0.04557632 -0.056796050 -0.002790455 -0.078710898 0.0120980439 -0.0007038117 + expected$covM1$Item4[5, ] 0.04557776 -0.056796347 -0.002790455 -0.078712858 0.0120980870 -0.0007037845 - actual$covM1$Item4[6, ] 0.01132278 -0.003635497 -0.012382742 -0.005967896 -0.0007038117 0.0026015487 + expected$covM1$Item4[6, ] 0.01132288 -0.003635595 -0.012382695 -0.005968128 -0.0007037845 0.0026015401 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item7[1, ] 0.266226390 -0.113628936 -0.09733677 -0.174640218 0.009870484 0.013157214 + expected$covM1$Item7[1, ] 0.266226425 -0.113628963 -0.09733680 -0.174640246 0.009870488 0.013157219 - actual$covM1$Item7[2, ] -0.113628936 0.189144178 0.07184296 0.187418784 -0.065339142 0.007629050 + expected$covM1$Item7[2, ] -0.113628963 0.189144194 0.07184299 0.187418802 -0.065339143 0.007629049 - actual$covM1$Item7[3, ] -0.097336770 0.071842961 0.09207350 0.080183884 -0.012665935 -0.015228159 + expected$covM1$Item7[3, ] -0.097336804 0.071842985 0.09207352 0.080183911 -0.012665940 -0.015228159 - actual$covM1$Item7[4, ] -0.174640218 0.187418784 0.08018388 0.208602311 -0.057307786 0.004419499 + expected$covM1$Item7[4, ] -0.174640246 0.187418802 0.08018391 0.208602329 -0.057307786 0.004419496 - actual$covM1$Item7[5, ] 0.009870484 -0.065339142 -0.01266594 -0.057307786 0.028346361 -0.007015564 + expected$covM1$Item7[5, ] 0.009870488 -0.065339143 -0.01266594 -0.057307786 0.028346360 -0.007015564 - actual$covM1$Item7[6, ] 0.013157214 0.007629050 -0.01522816 0.004419499 -0.007015564 0.006370655 + expected$covM1$Item7[6, ] 0.013157219 0.007629049 -0.01522816 0.004419496 -0.007015564 0.006370655 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item8[1, ] 0.136218522 -0.001235047 -0.053713701 -0.017824011 -0.0171252758 0.0074586525 + expected$covM1$Item8[1, ] 0.136218579 -0.001234256 -0.053715336 -0.017823007 -0.0171254796 0.0074588406 - actual$covM1$Item8[2, ] -0.001235047 0.194949246 -0.011393602 0.058562530 -0.0377349639 -0.0153597782 + expected$covM1$Item8[2, ] -0.001234256 0.194949926 -0.011393077 0.058559705 -0.0377344472 -0.0153598188 - actual$covM1$Item8[3, ] -0.053713701 -0.011393602 0.099108517 -0.003505487 0.0128447504 -0.0216943216 + expected$covM1$Item8[3, ] -0.053715336 -0.011393077 0.099110747 -0.003505091 0.0128447970 -0.0216946942 - actual$covM1$Item8[4, ] -0.017824011 0.058562530 -0.003505487 0.021305241 -0.0099115654 -0.0039098997 + expected$covM1$Item8[4, ] -0.017823007 0.058559705 -0.003505091 0.021303220 -0.0099108880 -0.0039097113 - actual$covM1$Item8[5, ] -0.017125276 -0.037734964 0.012844750 -0.009911565 0.0105253863 0.0005679269 + expected$covM1$Item8[5, ] -0.017125480 -0.037734447 0.012844797 -0.009910888 0.0105251721 0.0005678539 - actual$covM1$Item8[6, ] 0.007458653 -0.015359778 -0.021694322 -0.003909900 0.0005679269 0.0079417894 + expected$covM1$Item8[6, ] 0.007458841 -0.015359819 -0.021694694 -0.003909711 0.0005678539 0.0079418455 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item9[1, ] 0.239123371 -0.06928616 -0.056225599 -0.101162393 -0.009468276 0.017689588 + expected$covM1$Item9[1, ] 0.239120856 -0.06928255 -0.056224979 -0.101157900 -0.009470020 0.017689780 - actual$covM1$Item9[2, ] -0.069286157 0.27332021 0.017580346 0.201195253 -0.133705162 0.010979430 + expected$covM1$Item9[2, ] -0.069282553 0.27332038 0.017578806 0.201191918 -0.133705653 0.010978220 - actual$covM1$Item9[3, ] -0.056225599 0.01758035 0.092971095 0.014796410 0.008415156 -0.030345344 + expected$covM1$Item9[3, ] -0.056224979 0.01757881 0.092971856 0.014794857 0.008415998 -0.030345936 - actual$covM1$Item9[4, ] -0.101162393 0.20119525 0.014796410 0.162373154 -0.090638965 0.006810577 + expected$covM1$Item9[4, ] -0.101157900 0.20119192 0.014794857 0.162367712 -0.090637763 0.006809695 - actual$covM1$Item9[5, ] -0.009468276 -0.13370516 0.008415156 -0.090638965 0.076010233 -0.012422354 + expected$covM1$Item9[5, ] -0.009470020 -0.13370565 0.008415998 -0.090637763 0.076010742 -0.012421782 - actual$covM1$Item9[6, ] 0.017689588 0.01097943 -0.030345344 0.006810577 -0.012422354 0.012329332 + expected$covM1$Item9[6, ] 0.017689780 0.01097822 -0.030345936 0.006809695 -0.012421782 0.012329435 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item10[1, ] 0.24556966 -0.070617706 -0.0687493008 -0.101110195 -0.0104017018 0.020551716 + expected$covM1$Item10[1, ] 0.24556733 -0.070614574 -0.0687484772 -0.101106299 -0.0104032534 0.020551878 - actual$covM1$Item10[2, ] -0.07061771 0.268321545 0.0369686850 0.195281001 -0.1361829050 0.007363948 + expected$covM1$Item10[2, ] -0.07061457 0.268322110 0.0369672665 0.195278557 -0.1361836657 0.007362498 - actual$covM1$Item10[3, ] -0.06874930 0.036968685 0.0983492569 0.030270001 0.0002279937 -0.031560778 + expected$covM1$Item10[3, ] -0.06874848 0.036967266 0.0983497281 0.030268369 0.0002287695 -0.031561471 - actual$covM1$Item10[4, ] -0.10111019 0.195281001 0.0302700006 0.155842338 -0.0910459674 0.003847953 + expected$covM1$Item10[4, ] -0.10110630 0.195278557 0.0302683687 0.155838100 -0.0910451913 0.003846980 - actual$covM1$Item10[5, ] -0.01040170 -0.136182905 0.0002279937 -0.091045967 0.0807665433 -0.011532399 + expected$covM1$Item10[5, ] -0.01040325 -0.136183666 0.0002287695 -0.091045191 0.0807672412 -0.011531673 - actual$covM1$Item10[6, ] 0.02055172 0.007363948 -0.0315607775 0.003847953 -0.0115323991 0.012988804 + expected$covM1$Item10[6, ] 0.02055188 0.007362498 -0.0315614708 0.003846980 -0.0115316734 0.012988940 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item11[1, ] 0.103191951 -0.0285861172 -0.019795806 -0.0495201257 -0.005388210 0.0052467928 + expected$covM1$Item11[1, ] 0.103187328 -0.0285812587 -0.019794464 -0.0495142615 -0.005389079 0.0052465622 - actual$covM1$Item11[2, ] -0.028586117 0.1344582758 -0.006160079 0.0971658982 -0.031411360 0.0007178486 + expected$covM1$Item11[2, ] -0.028581259 0.1344572434 -0.006164344 0.0971612630 -0.031410646 0.0007173332 - actual$covM1$Item11[3, ] -0.019795806 -0.0061600790 0.046680786 -0.0051186763 0.006833253 -0.0112627485 + expected$covM1$Item11[3, ] -0.019794464 -0.0061643439 0.046681573 -0.0051219438 0.006834130 -0.0112628070 - actual$covM1$Item11[4, ] -0.049520126 0.0971658982 -0.005118676 0.0814297436 -0.020165751 0.0005752760 + expected$covM1$Item11[4, ] -0.049514262 0.0971612630 -0.005121944 0.0814228427 -0.020164500 0.0005750174 - actual$covM1$Item11[5, ] -0.005388210 -0.0314113596 0.006833253 -0.0201657509 0.009658773 -0.0019031035 + expected$covM1$Item11[5, ] -0.005389079 -0.0314106460 0.006834130 -0.0201644997 0.009658431 -0.0019029235 - actual$covM1$Item11[6, ] 0.005246793 0.0007178486 -0.011262748 0.0005752760 -0.001903103 0.0035283359 + expected$covM1$Item11[6, ] 0.005246562 0.0007173332 -0.011262807 0.0005750174 -0.001902924 0.0035283427 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item12[1, ] 0.1469600563 -0.0001282161 -0.067629904 -0.0140345100 -0.035555796 0.0228327071 + expected$covM1$Item12[1, ] 0.1469601590 -0.0001281867 -0.067629868 -0.0140345386 -0.035555832 0.0228327060 - actual$covM1$Item12[2, ] -0.0001282161 0.1897988276 0.014971604 0.0470148351 -0.077308590 0.0019513743 + expected$covM1$Item12[2, ] -0.0001281867 0.1897989048 0.014971637 0.0470149696 -0.077308699 0.0019513695 - actual$covM1$Item12[3, ] -0.0676299043 0.0149716041 0.122773140 0.0045063732 0.015944190 -0.0401982521 + expected$covM1$Item12[3, ] -0.0676298679 0.0149716369 0.122773089 0.0045063904 0.015944168 -0.0401982522 - actual$covM1$Item12[4, ] -0.0140345100 0.0470148351 0.004506373 0.0139765333 -0.016755820 0.0002152145 + expected$covM1$Item12[4, ] -0.0140345386 0.0470149696 0.004506390 0.0139766034 -0.016755887 0.0002152144 - actual$covM1$Item12[5, ] -0.0355557964 -0.0773085900 0.015944190 -0.0167558198 0.042218962 -0.0093404634 + expected$covM1$Item12[5, ] -0.0355558322 -0.0773086986 0.015944168 -0.0167558871 0.042219043 -0.0093404639 - actual$covM1$Item12[6, ] 0.0228327071 0.0019513743 -0.040198252 0.0002152145 -0.009340463 0.0155286980 + expected$covM1$Item12[6, ] 0.0228327060 0.0019513695 -0.040198252 0.0002152144 -0.009340464 0.0155287024 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item13[1, ] 0.165391682 -2.042327e-02 -0.070782548 -0.0243164572 -0.011951221 9.286960e-03 + expected$covM1$Item13[1, ] 0.165391284 -2.042257e-02 -0.070782578 -0.0243160487 -0.011951256 9.286934e-03 - actual$covM1$Item13[2, ] -0.020423270 2.441868e-01 0.041073274 0.0576426651 -0.027996281 2.518582e-05 + expected$covM1$Item13[2, ] -0.020422568 2.441871e-01 0.041072938 0.0576420715 -0.027996099 2.513946e-05 - actual$covM1$Item13[3, ] -0.070782548 4.107327e-02 0.118740091 0.0114982159 0.004067094 -1.552203e-02 + expected$covM1$Item13[3, ] -0.070782578 4.107294e-02 0.118740367 0.0114980017 0.004067157 -1.552203e-02 - actual$covM1$Item13[4, ] -0.024316457 5.764267e-02 0.011498216 0.0171875797 -0.005492417 -1.914646e-04 + expected$covM1$Item13[4, ] -0.024316049 5.764207e-02 0.011498002 0.0171872316 -0.005492314 -1.914701e-04 - actual$covM1$Item13[5, ] -0.011951221 -2.799628e-02 0.004067094 -0.0054924174 0.005163839 -1.670390e-03 + expected$covM1$Item13[5, ] -0.011951256 -2.799610e-02 0.004067157 -0.0054923137 0.005163781 -1.670377e-03 - actual$covM1$Item13[6, ] 0.009286960 2.518582e-05 -0.015522033 -0.0001914646 -0.001670390 2.985397e-03 + expected$covM1$Item13[6, ] 0.009286934 2.513946e-05 -0.015522032 -0.0001914701 -0.001670377 2.985387e-03 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item14[1, ] 0.118488267 0.005535921 -0.052989676 -0.0113234928 -0.03962850 0.0230421139 + expected$covM1$Item14[1, ] 0.118488253 0.005535929 -0.052989676 -0.0113234873 -0.03962849 0.0230421137 - actual$covM1$Item14[2, ] 0.005535921 0.144056682 0.013477919 0.0445211748 -0.08143136 0.0022770389 + expected$covM1$Item14[2, ] 0.005535929 0.144056598 0.013477926 0.0445211355 -0.08143132 0.0022770391 - actual$covM1$Item14[3, ] -0.052989676 0.013477919 0.094801283 0.0050631157 0.01437575 -0.0391800641 + expected$covM1$Item14[3, ] -0.052989676 0.013477926 0.094801303 0.0050631158 0.01437575 -0.0391800695 - actual$covM1$Item14[4, ] -0.011323493 0.044521175 0.005063116 0.0162018851 -0.02224758 0.0003227620 + expected$covM1$Item14[4, ] -0.011323487 0.044521135 0.005063116 0.0162018680 -0.02224756 0.0003227622 - actual$covM1$Item14[5, ] -0.039628496 -0.081431362 0.014375754 -0.0222475791 0.05966128 -0.0118841684 + expected$covM1$Item14[5, ] -0.039628494 -0.081431316 0.014375751 -0.0222475584 0.05966125 -0.0118841686 - actual$covM1$Item14[6, ] 0.023042114 0.002277039 -0.039180064 0.0003227620 -0.01188417 0.0188360951 + expected$covM1$Item14[6, ] 0.023042114 0.002277039 -0.039180069 0.0003227622 -0.01188417 0.0188360969 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item15[1, ] 0.26895670 -0.060229838 -0.072078189 -0.103943088 -0.021657707 0.026139369 + expected$covM1$Item15[1, ] 0.26895583 -0.060228689 -0.072077245 -0.103942110 -0.021658259 0.026139184 - actual$covM1$Item15[2, ] -0.06022984 0.297969159 0.038728305 0.236168896 -0.195596883 0.008823899 + expected$covM1$Item15[2, ] -0.06022869 0.297969810 0.038727535 0.236169562 -0.195598024 0.008822249 - actual$covM1$Item15[3, ] -0.07207819 0.038728305 0.105481226 0.034376231 -0.001640420 -0.039372357 + expected$covM1$Item15[3, ] -0.07207725 0.038727535 0.105480979 0.034375452 -0.001640105 -0.039372748 - actual$covM1$Item15[4, ] -0.10394309 0.236168896 0.034376231 0.202519686 -0.144107458 0.005148950 + expected$covM1$Item15[4, ] -0.10394211 0.236169562 0.034375452 0.202520313 -0.144108484 0.005147809 - actual$covM1$Item15[5, ] -0.02165771 -0.195596883 -0.001640420 -0.144107458 0.145811887 -0.016742616 + expected$covM1$Item15[5, ] -0.02165826 -0.195598024 -0.001640105 -0.144108484 0.145813104 -0.016741458 - actual$covM1$Item15[6, ] 0.02613937 0.008823899 -0.039372357 0.005148950 -0.016742616 0.018189725 + expected$covM1$Item15[6, ] 0.02613918 0.008822249 -0.039372748 0.005147809 -0.016741458 0.018189751 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item16[1, ] 0.069536923 -0.0024263118 -0.0355826847 -7.366832e-03 -0.018663077 1.334983e-02 + expected$covM1$Item16[1, ] 0.069536906 -0.0024262422 -0.0355826899 -7.366816e-03 -0.018663099 1.334982e-02 - actual$covM1$Item16[2, ] -0.002426312 0.1009296722 0.0010290874 2.228865e-02 -0.039825966 1.697402e-04 + expected$covM1$Item16[2, ] -0.002426242 0.1009296716 0.0010289591 2.228865e-02 -0.039825988 1.697760e-04 - actual$covM1$Item16[3, ] -0.035582685 0.0010290874 0.0702254957 2.817264e-04 0.012895128 -2.629493e-02 + expected$covM1$Item16[3, ] -0.035582690 0.0010289591 0.0702255872 2.816958e-04 0.012895183 -2.629495e-02 - actual$covM1$Item16[4, ] -0.007366832 0.0222886455 0.0002817264 6.286756e-03 -0.007522313 1.680545e-05 + expected$covM1$Item16[4, ] -0.007366816 0.0222886478 0.0002816958 6.286757e-03 -0.007522319 1.681412e-05 - actual$covM1$Item16[5, ] -0.018663077 -0.0398259662 0.0128951283 -7.522313e-03 0.022889367 -6.073929e-03 + expected$covM1$Item16[5, ] -0.018663099 -0.0398259876 0.0128951835 -7.522319e-03 0.022889382 -6.073941e-03 - actual$covM1$Item16[6, ] 0.013349826 0.0001697402 -0.0262949296 1.680545e-05 -0.006073929 1.185987e-02 + expected$covM1$Item16[6, ] 0.013349819 0.0001697760 -0.0262949466 1.681412e-05 -0.006073941 1.185987e-02 actual$covM1$Item17 vs expected$covM1$Item17 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item17[1, ] 0.29779536 0.05187727 -0.107225197 -0.010408855 -0.138288979 0.057442401 + expected$covM1$Item17[1, ] 0.29779539 0.05187723 -0.107225182 -0.010408878 -0.138288955 0.057442390 - actual$covM1$Item17[2, ] 0.05187727 0.28258265 0.058354359 0.111995631 -0.234563126 0.010231979 + expected$covM1$Item17[2, ] 0.05187723 0.28258258 0.058354355 0.111995650 -0.234563084 0.010231970 - actual$covM1$Item17[3, ] -0.10722520 0.05835436 0.181624218 0.027369564 0.001699525 -0.075508581 + expected$covM1$Item17[3, ] -0.10722518 0.05835435 0.181624140 0.027369576 0.001699512 -0.075508551 - actual$covM1$Item17[4, ] -0.01040885 0.11199563 0.027369564 0.049246523 -0.084766119 0.002080849 + expected$covM1$Item17[4, ] -0.01040888 0.11199565 0.027369576 0.049246552 -0.084766137 0.002080846 - actual$covM1$Item17[5, ] -0.13828898 -0.23456313 0.001699525 -0.084766119 0.230285279 -0.033575524 + expected$covM1$Item17[5, ] -0.13828895 -0.23456308 0.001699512 -0.084766137 0.230285257 -0.033575512 - actual$covM1$Item17[6, ] 0.05744240 0.01023198 -0.075508581 0.002080849 -0.033575524 0.038559201 + expected$covM1$Item17[6, ] 0.05744239 0.01023197 -0.075508551 0.002080846 -0.033575512 0.038559188 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item19[1, ] 0.08600475 -0.01146327 -0.041554943 -0.014395520 -0.017346107 0.015376747 + expected$covM1$Item19[1, ] 0.08600476 -0.01146328 -0.041554942 -0.014395521 -0.017346103 0.015376744 - actual$covM1$Item19[2, ] -0.01146327 0.11937672 0.025664932 0.034086337 -0.045215648 0.015560388 + expected$covM1$Item19[2, ] -0.01146328 0.11937670 0.025664916 0.034086320 -0.045215632 0.015560386 - actual$covM1$Item19[3, ] -0.04155494 0.02566493 0.076845737 0.008457500 0.003751187 -0.018726966 + expected$covM1$Item19[3, ] -0.04155494 0.02566492 0.076845735 0.008457492 0.003751194 -0.018726967 - actual$covM1$Item19[4, ] -0.01439552 0.03408634 0.008457500 0.012158940 -0.010916097 0.003499175 + expected$covM1$Item19[4, ] -0.01439552 0.03408632 0.008457492 0.012158931 -0.010916088 0.003499173 - actual$covM1$Item19[5, ] -0.01734611 -0.04521565 0.003751187 -0.010916097 0.024341224 -0.012245019 + expected$covM1$Item19[5, ] -0.01734610 -0.04521563 0.003751194 -0.010916088 0.024341214 -0.012245016 - actual$covM1$Item19[6, ] 0.01537675 0.01556039 -0.018726966 0.003499175 -0.012245019 0.010829280 + expected$covM1$Item19[6, ] 0.01537674 0.01556039 -0.018726967 0.003499173 -0.012245016 0.010829279 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item20[1, ] 0.107586177 -0.005732192 -0.063948301 -0.005578329 -0.030986946 0.024126104 + expected$covM1$Item20[1, ] 0.107586034 -0.005731479 -0.063948041 -0.005578295 -0.030987227 0.024126006 - actual$covM1$Item20[2, ] -0.005732192 0.156677026 -0.014016279 0.016089361 -0.065311511 -0.004387160 + expected$covM1$Item20[2, ] -0.005731479 0.156676760 -0.014016535 0.016089490 -0.065311711 -0.004387221 - actual$covM1$Item20[3, ] -0.063948301 -0.014016279 0.153541532 -0.002022992 0.030595892 -0.057951949 + expected$covM1$Item20[3, ] -0.063948041 -0.014016535 0.153541347 -0.002023046 0.030595966 -0.057951967 - actual$covM1$Item20[4, ] -0.005578329 0.016089361 -0.002022992 0.002300236 -0.005704309 -0.000230970 + expected$covM1$Item20[4, ] -0.005578295 0.016089490 -0.002023046 0.002300272 -0.005704386 -0.000230975 - actual$covM1$Item20[5, ] -0.030986946 -0.065311511 0.030595892 -0.005704309 0.040089453 -0.009144265 + expected$covM1$Item20[5, ] -0.030987227 -0.065311711 0.030595966 -0.005704386 0.040089666 -0.009144215 - actual$covM1$Item20[6, ] 0.024126104 -0.004387160 -0.057951949 -0.000230970 -0.009144265 0.026382250 + expected$covM1$Item20[6, ] 0.024126006 -0.004387221 -0.057951967 -0.000230975 -0.009144215 0.026382300 actual$pval | expected$pval [1] 0.000030907 | 0.000030907 [1] [2] 0.000028271 | 0.000028271 [2] [3] 0.854313404 | 0.854313404 [3] [4] 0.877056801 - 0.877056800 [4] [5] 0.979307639 | 0.979307639 [5] [6] 0.821846545 | 0.821846545 [6] [7] 0.068882259 | 0.068882259 [7] [8] 0.244295030 | 0.244295030 [8] [9] 0.659942901 - 0.659942898 [9] [10] 0.490233952 - 0.490233951 [10] ... ... ... and 10 more ... actual$adj.pval | expected$adj.pval [1] 0.000030907 | 0.000030907 [1] [2] 0.000028271 | 0.000028271 [2] [3] 0.854313404 | 0.854313404 [3] [4] 0.877056801 - 0.877056800 [4] [5] 0.979307639 | 0.979307639 [5] [6] 0.821846545 | 0.821846545 [6] [7] 0.068882259 | 0.068882259 [7] [8] 0.244295030 | 0.244295030 [8] [9] 0.659942901 - 0.659942898 [9] [10] 0.490233952 - 0.490233951 [10] ... ... ... and 10 more ... ── Failure ('test-difNLR.R:134:3'): difNLR - examples at help page ───────────── Expected `fit11` to equal `fit11_expected`. Differences: actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.25126912 -0.089346410 -0.0221235270 0.0232188363 -0.105533787 + expected$covM1$Item13[1, ] 0.25126913 -0.089346412 -0.0221235275 0.0232188371 -0.105533790 - actual$covM1$Item13[2, ] -0.08934641 0.043589127 0.0046938528 -0.0191598192 0.038987025 + expected$covM1$Item13[2, ] -0.08934641 0.043589128 0.0046938531 -0.0191598194 0.038987026 - actual$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188728 + expected$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188729 actual$covM1$Item13[4, ] 0.02321884 -0.019159819 0.0007736615 0.0235615332 -0.010317708 - actual$covM1$Item13[5, ] -0.10553379 0.038987025 0.0061887284 -0.0103177077 0.045753707 + expected$covM1$Item13[5, ] -0.10553379 0.038987026 0.0061887286 -0.0103177080 0.045753708 ── Failure ('test-difNLR.R:142:3'): difNLR - examples at help page ───────────── Expected `fit13` to equal `fit13_expected`. Differences: actual$seM1$Item5 | expected$seM1$Item5 [1] 1.322534201 - 1.322534498 [1] [2] 0.431582728 - 0.431582819 [2] [3] 0.140846431 | 0.140846431 [3] [4] 0.140395643 | 0.140395643 [4] [5] 1.074186699 - 1.074186941 [5] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.730251348 - 0.730251282 [1] [2] 0.206478511 - 0.206478465 [2] [3] 0.098993891 - 0.098993872 [3] [4] 0.148676710 - 0.148676713 [4] [5] 0.424514653 - 0.424514567 [5] `actual$seM1$Item9`: 0.55250211 0.18526841 0.09561754 0.10360347 0.29564975 `expected$seM1$Item9`: 0.55246653 0.18525882 0.09561658 0.10360309 0.29563246 actual$seM1$Item11 | expected$seM1$Item11 [1] 0.325599004 - 0.325598987 [1] [2] 0.143642509 - 0.143642500 [2] [3] 0.106457440 | 0.106457440 [3] [4] 0.116418337 | 0.116418337 [4] [5] 0.203939037 - 0.203939025 [5] actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 1.74909671 -0.548378108 -0.012562796 0.017270675 -1.416467759 + expected$covM1$Item5[1, ] 1.74909750 -0.548378357 -0.012562800 0.017270684 -1.416468398 - actual$covM1$Item5[2, ] -0.54837811 0.186263651 -0.004388997 -0.017203484 0.450884818 + expected$covM1$Item5[2, ] -0.54837836 0.186263730 -0.004388995 -0.017203487 0.450885020 - actual$covM1$Item5[3, ] -0.01256280 -0.004388997 0.019837717 0.009468767 0.001859731 + expected$covM1$Item5[3, ] -0.01256280 -0.004388995 0.019837717 0.009468767 0.001859734 - actual$covM1$Item5[4, ] 0.01727068 -0.017203484 0.009468767 0.019710937 -0.018236294 + expected$covM1$Item5[4, ] 0.01727068 -0.017203487 0.009468767 0.019710937 -0.018236302 - actual$covM1$Item5[5, ] -1.41646776 0.450884818 0.001859731 -0.018236294 1.153877065 + expected$covM1$Item5[5, ] -1.41646840 0.450885020 0.001859734 -0.018236302 1.153877585 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item8[1, ] 0.533267032 -0.140070238 0.0032524017 -0.0759137666 -0.308653218 + expected$covM1$Item8[1, ] 0.533266935 -0.140070190 0.0032522779 -0.0759137634 -0.308653128 - actual$covM1$Item8[2, ] -0.140070238 0.042633375 -0.0026951353 0.0148389829 0.082131213 + expected$covM1$Item8[2, ] -0.140070190 0.042633357 -0.0026951021 0.0148389789 0.082131176 - actual$covM1$Item8[3, ] 0.003252402 -0.002695135 0.0097997904 0.0004640690 -0.004603230 + expected$covM1$Item8[3, ] 0.003252278 -0.002695102 0.0097997867 0.0004640864 -0.004603157 - actual$covM1$Item8[4, ] -0.075913767 0.014838983 0.0004640690 0.0221047640 0.043974903 + expected$covM1$Item8[4, ] -0.075913763 0.014838979 0.0004640864 0.0221047650 0.043974896 - actual$covM1$Item8[5, ] -0.308653218 0.082131213 -0.0046032297 0.0439749031 0.180212690 + expected$covM1$Item8[5, ] -0.308653128 0.082131176 -0.0046031569 0.0439748964 0.180212618 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 0.30525858 -0.093032991 -0.0109444470 0.0103571724 -0.162131078 + expected$covM1$Item9[1, ] 0.30521926 -0.093021165 -0.0109397238 0.0103553681 -0.162110996 - actual$covM1$Item9[2, ] -0.09303299 0.034324385 0.0015497219 -0.0086258092 0.050396087 + expected$covM1$Item9[2, ] -0.09302117 0.034320832 0.0015482627 -0.0086252624 0.050390059 - actual$covM1$Item9[3, ] -0.01094445 0.001549722 0.0091427141 0.0006446767 0.003459223 + expected$covM1$Item9[3, ] -0.01093972 0.001548263 0.0091425304 0.0006448540 0.003456701 - actual$covM1$Item9[4, ] 0.01035717 -0.008625809 0.0006446767 0.0107336796 -0.005823558 + expected$covM1$Item9[4, ] 0.01035537 -0.008625262 0.0006448540 0.0107336005 -0.005822626 - actual$covM1$Item9[5, ] -0.16213108 0.050396087 0.0034592235 -0.0058235584 0.087408777 + expected$covM1$Item9[5, ] -0.16211100 0.050390059 0.0034567009 -0.0058226256 0.087398553 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item11[1, ] 0.106014712 -0.035099245 -0.004175992 -0.004813213 -0.064548340 + expected$covM1$Item11[1, ] 0.106014700 -0.035099239 -0.004175992 -0.004813214 -0.064548332 - actual$covM1$Item11[2, ] -0.035099245 0.020633170 -0.002436880 -0.005922076 0.023791486 + expected$covM1$Item11[2, ] -0.035099239 0.020633168 -0.002436879 -0.005922076 0.023791483 - actual$covM1$Item11[3, ] -0.004175992 -0.002436880 0.011333186 0.003230759 -0.001070505 + expected$covM1$Item11[3, ] -0.004175992 -0.002436879 0.011333186 0.003230759 -0.001070505 - actual$covM1$Item11[4, ] -0.004813213 -0.005922076 0.003230759 0.013553229 0.001925740 + expected$covM1$Item11[4, ] -0.004813214 -0.005922076 0.003230759 0.013553229 0.001925740 - actual$covM1$Item11[5, ] -0.064548340 0.023791486 -0.001070505 0.001925740 0.041591131 + expected$covM1$Item11[5, ] -0.064548332 0.023791483 -0.001070505 0.001925740 0.041591126 ── Failure ('test-difNLR.R:377:3'): testing paper code - R Journal 2020 - generated data ── Expected `fit1` to equal `fit1_expected`. Differences: actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] -1.919268852 - -1.919268809 [1] [2] 1.483505553 - 1.483505528 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.048786387 - 0.048786382 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[5]] | expected$nlrPAR[[5]] [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] -0.0055204 - -0.0055251 [8] actual$nlrPAR[[6]] | expected$nlrPAR[[6]] [1] 0.767939349 - 0.767939292 [1] [2] 1.457691842 - 1.457691801 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.953766881 - 0.953766893 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[7]] | expected$nlrPAR[[7]] [1] -1.23626545 - -1.23626580 [1] [2] 0.88804637 - 0.88804690 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.63552981 - -1.63554150 [1] [2] 1.16247959 - 1.16247138 [2] [3] -0.85442816 - -0.85441048 [3] [4] -0.11668125 - -0.11667586 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00676850 - 0.00676812 [6] [7] 0.86559096 - 0.86560000 [7] [8] 0.13440904 - 0.13440000 [8] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 1.9819501 - 1.9819175 [1] [2] 1.4818425 - 1.4818210 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0000000 | 0.0000000 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9277421 - 0.9277447 [7] [8] 0.0000000 | 0.0000000 [8] actual$nlrPAR[[11]] | expected$nlrPAR[[11]] [1] 1.100010144 - 1.100010487 [1] [2] 1.071118317 - 1.071118399 [2] [3] 2.324115082 - 2.324099309 [3] [4] 1.172861810 - 1.172854836 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.969003950 - 0.969003883 [7] [8] 0.010566232 - 0.010566922 [8] actual$nlrPAR[[12]] | expected$nlrPAR[[12]] [1] -1.63955438 - -1.63955296 [1] [2] 1.05071702 - 1.05071630 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.07960367 - 0.07960350 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] -1.359766982 - -1.359767080 [1] [2] 1.008622179 - 1.008622224 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.084488301 - 0.084488316 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -1.81408679 - -1.81408981 [1] [2] 1.09344011 - 1.09344166 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.14095464 - 0.14095493 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.4947744 - 0.4947587 [1] [2] 0.8750659 - 0.8750560 [2] [3] -0.2604767 - -0.2604823 [3] [4] 0.2049815 - 0.2049770 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9448528 - 0.9448575 [7] [8] -0.1424618 - -0.1424607 [8] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.306678421 - 0.306678419 [1] [2] 0.384450287 - 0.384450339 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.036074442 - 0.036074445 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.187373486 - 0.187373509 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 0.54915540 - 0.54916309 [1] [2] 0.84406770 - 0.84407406 [2] [3] 0.65457360 - 0.65457970 [3] [4] 1.04476946 - 1.04477916 [4] [5] 0.30726339 - 0.30725777 [5] [6] 0.34492171 - 0.34491364 [6] [7] 0.04447330 - 0.04447248 [7] [8] 0.09301584 - 0.09301238 [8] actual$nlrSE[[6]] | expected$nlrSE[[6]] [1] 0.244309189 - 0.244309199 [1] [2] 0.402094872 - 0.402094890 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.146861977 - 0.146861982 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.059566415 - 0.059566424 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.42785780 - 0.42785740 [1] [2] 0.49197774 - 0.49197745 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.10650364 - 0.10650350 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.48019617 - 0.48019549 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.46605986 - 0.46606108 [1] [2] 0.59512319 - 0.59512240 [2] [3] 0.96379650 - 0.96379959 [3] [4] 0.94805913 - 0.94805937 [4] [5] 0.07087731 - 0.07087774 [5] [6] 0.09147733 - 0.09147791 [6] [7] 0.38583669 - 0.38584847 [7] [8] 1.22691855 - 1.22692695 [8] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.36596727 - 0.36596807 [1] [2] 0.53880414 - 0.53880148 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.35994964 - 0.35995458 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.03944259 - 0.03944350 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrSE[[11]] | expected$nlrSE[[11]] [1] 0.534150761 - 0.534150791 [1] [2] 0.648113915 - 0.648113962 [2] [3] 0.867075677 - 0.867071913 [3] [4] 1.082312041 - 1.082308858 [4] [5] 0.521548300 - 0.521548354 [5] [6] 0.659580832 - 0.659580446 [6] [7] 0.105250889 - 0.105250858 [7] [8] 0.109353679 - 0.109353674 [8] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.437683871 - 0.437683975 [1] [2] 0.518101638 - 0.518101581 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.069033171 - 0.069033277 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.438139683 - 0.438139948 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.426919525 - 0.426919518 [1] [2] 0.521107931 - 0.521107889 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.085772962 - 0.085772946 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.399392015 - 0.399391982 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.503724206 - 0.503724008 [1] [2] 0.591103588 - 0.591103524 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.063854830 - 0.063854624 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.477404262 - 0.477403468 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.7281699 - 0.7281753 [1] [2] 0.8488077 - 0.8488101 [2] [3] 0.9085928 - 0.9085989 [3] [4] 1.1464332 - 1.1464343 [4] [5] 0.6082345 - 0.6082423 [5] [6] 0.6693448 - 0.6693534 [6] [7] 0.2471840 - 0.2471916 [7] [8] 0.3043555 - 0.3043653 [8] `actual$parM0$Item1`: -1.919268852 1.483505553 0.048786387 1.000000000 `expected$parM0$Item1`: -1.919268809 1.483505528 0.048786382 1.000000000 `actual$parM0$Item5`: 1.232878141 1.514612611 0.000000000 0.871219470 `expected$parM0$Item5`: 1.232877680 1.514612442 0.000000000 0.871219535 `actual$parM0$Item6`: 0.767939349 1.457691842 0.000000000 0.953766881 `expected$parM0$Item6`: 0.767939292 1.457691801 0.000000000 0.953766893 `actual$parM0$Item7`: -1.23626545 0.88804637 0.00000000 1.00000000 `expected$parM0$Item7`: -1.23626580 0.88804690 0.00000000 1.00000000 `actual$parM0$Item8`: -2.04224668 1.00313832 0.00000000 1.00000000 `expected$parM0$Item8`: -2.04224686 1.00313853 0.00000000 1.00000000 `actual$parM0$Item9`: 1.9819501 1.4818425 0.0000000 0.9277421 `expected$parM0$Item9`: 1.9819175 1.4818210 0.0000000 0.9277447 `actual$parM0$Item11`: 2.071246156 1.476717870 0.000000000 0.947760051 `expected$parM0$Item11`: 2.071244548 1.476716024 0.000000000 0.947760133 `actual$parM0$Item12`: -1.63955438 1.05071702 0.07960367 1.00000000 `expected$parM0$Item12`: -1.63955296 1.05071630 0.07960350 1.00000000 `actual$parM0$Item13`: -1.359766982 1.008622179 0.084488301 1.000000000 `expected$parM0$Item13`: -1.359767080 1.008622224 0.084488316 1.000000000 `actual$parM0$Item14`: -1.81408679 1.09344011 0.14095464 1.00000000 `expected$parM0$Item14`: -1.81408981 1.09344166 0.14095493 1.00000000 `actual$parM0$Item15`: 0.409635301 0.994839602 0.000000000 0.865280941 `expected$parM0$Item15`: 0.409634989 0.994839800 0.000000000 0.865281015 `actual$seM0$Item1`: 0.306678421 0.384450287 0.036074442 0.187373486 `expected$seM0$Item1`: 0.306678419 0.384450339 0.036074445 0.187373509 `actual$seM0$Item5`: 0.304514975 0.493226339 0.194402286 0.051007357 `expected$seM0$Item5`: 0.304514933 0.493226262 0.194402274 0.051007369 `actual$seM0$Item6`: 0.244309189 0.402094872 0.146861977 0.059566415 `expected$seM0$Item6`: 0.244309199 0.402094890 0.146861982 0.059566424 `actual$seM0$Item7`: 0.42785780 0.49197774 0.10650364 0.48019617 `expected$seM0$Item7`: 0.42785740 0.49197745 0.10650350 0.48019549 `actual$seM0$Item8`: 0.467445670 0.465413142 0.052095431 0.612798580 `expected$seM0$Item8`: 0.467445473 0.465413059 0.052095410 0.612798273 `actual$seM0$Item9`: 0.36596727 0.53880414 0.35994964 0.03944259 `expected$seM0$Item9`: 0.36596807 0.53880148 0.35995458 0.03944350 `actual$seM0$Item11`: 0.363926478 0.526273514 0.382432069 0.037293680 `expected$seM0$Item11`: 0.363926904 0.526273633 0.382433014 0.037293744 `actual$seM0$Item12`: 0.437683871 0.518101638 0.069033171 0.438139683 `expected$seM0$Item12`: 0.437683975 0.518101581 0.069033277 0.438139948 `actual$seM0$Item13`: 0.426919525 0.521107931 0.085772962 0.399392015 `expected$seM0$Item13`: 0.426919518 0.521107889 0.085772946 0.399391982 `actual$seM0$Item14`: 0.503724206 0.591103588 0.063854830 0.477404262 `expected$seM0$Item14`: 0.503724008 0.591103524 0.063854624 0.477403468 `actual$seM0$Item15`: 0.429218673 0.565195422 0.284899677 0.138812073 `expected$seM0$Item15`: 0.429218501 0.565195232 0.284899461 0.138812042 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] [,4] - actual$covM0$Item1[1, ] 0.0940516536 -0.06062457 -0.008213435 0.0005695570 + expected$covM0$Item1[1, ] 0.0940516524 -0.06062458 -0.008213436 0.0005695592 - actual$covM0$Item1[2, ] -0.0606245691 0.14780202 0.011029920 -0.0600486747 + expected$covM0$Item1[2, ] -0.0606245756 0.14780206 0.011029924 -0.0600486926 - actual$covM0$Item1[3, ] -0.0082134354 0.01102992 0.001301365 -0.0036034232 + expected$covM0$Item1[3, ] -0.0082134359 0.01102992 0.001301366 -0.0036034245 - actual$covM0$Item1[4, ] 0.0005695570 -0.06004867 -0.003603423 0.0351088232 + expected$covM0$Item1[4, ] 0.0005695592 -0.06004869 -0.003603425 0.0351088318 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.092729370 0.02218341 -0.018079145 -0.008216770 + expected$covM0$Item5[1, ] 0.092729344 0.02218336 -0.018079156 -0.008216768 - actual$covM0$Item5[2, ] 0.022183413 0.24327222 0.083423481 -0.019990230 + expected$covM0$Item5[2, ] 0.022183362 0.24327215 0.083423465 -0.019990232 - actual$covM0$Item5[3, ] -0.018079145 0.08342348 0.037792249 -0.005582864 + expected$covM0$Item5[3, ] -0.018079156 0.08342347 0.037792244 -0.005582865 - actual$covM0$Item5[4, ] -0.008216770 -0.01999023 -0.005582864 0.002601750 + expected$covM0$Item5[4, ] -0.008216768 -0.01999023 -0.005582865 0.002601752 actual$covM0$Item6 vs expected$covM0$Item6 [,1] [,2] [,3] [,4] - actual$covM0$Item6[1, ] 0.059686980 0.003842519 -0.014247831 -0.006666568 + expected$covM0$Item6[1, ] 0.059686985 0.003842527 -0.014247830 -0.006666570 - actual$covM0$Item6[2, ] 0.003842519 0.161680286 0.051246077 -0.019386338 + expected$covM0$Item6[2, ] 0.003842527 0.161680300 0.051246081 -0.019386343 - actual$covM0$Item6[3, ] -0.014247831 0.051246077 0.021568440 -0.005019625 + expected$covM0$Item6[3, ] -0.014247830 0.051246081 0.021568442 -0.005019627 - actual$covM0$Item6[4, ] -0.006666568 -0.019386338 -0.005019625 0.003548158 + expected$covM0$Item6[4, ] -0.006666570 -0.019386343 -0.005019627 0.003548159 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] [,4] - actual$covM0$Item7[1, ] 0.183062296 0.03715680 -0.006749282 -0.10684805 + expected$covM0$Item7[1, ] 0.183061953 0.03715657 -0.006749311 -0.10684767 - actual$covM0$Item7[2, ] 0.037156804 0.24204210 0.048253133 -0.21805732 + expected$covM0$Item7[2, ] 0.037156566 0.24204181 0.048253035 -0.21805685 - actual$covM0$Item7[3, ] -0.006749282 0.04825313 0.011343025 -0.03869598 + expected$covM0$Item7[3, ] -0.006749311 0.04825303 0.011342995 -0.03869586 - actual$covM0$Item7[4, ] -0.106848045 -0.21805732 -0.038695983 0.23058837 + expected$covM0$Item7[4, ] -0.106847672 -0.21805685 -0.038695864 0.23058771 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] [,4] - actual$covM0$Item8[1, ] 0.218505454 0.06208626 -0.001320037 -0.18111318 + expected$covM0$Item8[1, ] 0.218505270 0.06208614 -0.001320047 -0.18111294 - actual$covM0$Item8[2, ] 0.062086262 0.21660939 0.021651508 -0.26088664 + expected$covM0$Item8[2, ] 0.062086137 0.21660932 0.021651495 -0.26088645 - actual$covM0$Item8[3, ] -0.001320037 0.02165151 0.002713934 -0.02284838 + expected$covM0$Item8[3, ] -0.001320047 0.02165149 0.002713932 -0.02284835 - actual$covM0$Item8[4, ] -0.181113184 -0.26088664 -0.022848376 0.37552210 + expected$covM0$Item8[4, ] -0.181112935 -0.26088645 -0.022848354 0.37552172 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] - actual$covM0$Item9[1, ] 0.133932046 0.009809339 -0.049576389 -0.006149387 + expected$covM0$Item9[1, ] 0.133932631 0.009803413 -0.049580436 -0.006149203 - actual$covM0$Item9[2, ] 0.009809339 0.290309899 0.173148946 -0.016907163 + expected$covM0$Item9[2, ] 0.009803413 0.290307040 0.173150779 -0.016907567 - actual$covM0$Item9[3, ] -0.049576389 0.173148946 0.129563743 -0.008359778 + expected$covM0$Item9[3, ] -0.049580436 0.173150779 0.129567298 -0.008360168 - actual$covM0$Item9[4, ] -0.006149387 -0.016907163 -0.008359778 0.001555718 + expected$covM0$Item9[4, ] -0.006149203 -0.016907567 -0.008360168 0.001555790 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] [,4] - actual$covM0$Item11[1, ] 0.132442481 0.002754336 -0.056383563 -0.005360472 + expected$covM0$Item11[1, ] 0.132442791 0.002753742 -0.056384124 -0.005360453 - actual$covM0$Item11[2, ] 0.002754336 0.276963812 0.180266093 -0.015622068 + expected$covM0$Item11[2, ] 0.002753742 0.276963937 0.180266613 -0.015622106 - actual$covM0$Item11[3, ] -0.056383563 0.180266093 0.146254287 -0.008448745 + expected$covM0$Item11[3, ] -0.056384124 0.180266613 0.146255011 -0.008448788 - actual$covM0$Item11[4, ] -0.005360472 -0.015622068 -0.008448745 0.001390819 + expected$covM0$Item11[4, ] -0.005360453 -0.015622106 -0.008448788 0.001390823 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] - actual$covM0$Item12[1, ] 0.191567171 0.002397711 -0.010013695 -0.07972811 + expected$covM0$Item12[1, ] 0.191567262 0.002397913 -0.010013687 -0.07972831 - actual$covM0$Item12[2, ] 0.002397711 0.268429307 0.031745764 -0.20454872 + expected$covM0$Item12[2, ] 0.002397913 0.268429248 0.031745814 -0.20454884 - actual$covM0$Item12[3, ] -0.010013695 0.031745764 0.004765579 -0.02092361 + expected$covM0$Item12[3, ] -0.010013687 0.031745814 0.004765593 -0.02092366 - actual$covM0$Item12[4, ] -0.079728107 -0.204548723 -0.020923609 0.19196638 + expected$covM0$Item12[4, ] -0.079728306 -0.204548839 -0.020923659 0.19196661 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.182260281 0.001025277 -0.012256093 -0.06825178 + expected$covM0$Item13[1, ] 0.182260274 0.001025282 -0.012256091 -0.06825178 - actual$covM0$Item13[2, ] 0.001025277 0.271553476 0.040175884 -0.18833999 + expected$covM0$Item13[2, ] 0.001025282 0.271553432 0.040175872 -0.18833995 - actual$covM0$Item13[3, ] -0.012256093 0.040175884 0.007357001 -0.02425908 + expected$covM0$Item13[3, ] -0.012256091 0.040175872 0.007356998 -0.02425907 - actual$covM0$Item13[4, ] -0.068251781 -0.188339986 -0.024259077 0.15951398 + expected$covM0$Item13[4, ] -0.068251782 -0.188339952 -0.024259069 0.15951396 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] [,4] - actual$covM0$Item14[1, ] 0.253738076 -0.006413722 -0.011665965 -0.09530079 + expected$covM0$Item14[1, ] 0.253737876 -0.006414399 -0.011665992 -0.09530019 - actual$covM0$Item14[2, ] -0.006413722 0.349403452 0.033102518 -0.25297742 + expected$covM0$Item14[2, ] -0.006414399 0.349403377 0.033102394 -0.25297691 - actual$covM0$Item14[3, ] -0.011665965 0.033102518 0.004077439 -0.02059410 + expected$covM0$Item14[3, ] -0.011665992 0.033102394 0.004077413 -0.02059398 - actual$covM0$Item14[4, ] -0.095300786 -0.252977421 -0.020594102 0.22791483 + expected$covM0$Item14[4, ] -0.095300189 -0.252976908 -0.020593982 0.22791407 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.184228670 -0.07225212 -0.07462452 -0.005053716 + expected$covM0$Item15[1, ] 0.184228521 -0.07225200 -0.07462441 -0.005053736 - actual$covM0$Item15[2, ] -0.072252124 0.31944587 0.14861310 -0.070362019 + expected$covM0$Item15[2, ] -0.072252000 0.31944565 0.14861293 -0.070361976 - actual$covM0$Item15[3, ] -0.074624519 0.14861310 0.08116783 -0.028685416 + expected$covM0$Item15[3, ] -0.074624413 0.14861293 0.08116770 -0.028685383 - actual$covM0$Item15[4, ] -0.005053716 -0.07036202 -0.02868542 0.019268792 + expected$covM0$Item15[4, ] -0.005053736 -0.07036198 -0.02868538 0.019268783 actual$parM1$Item1 | expected$parM1$Item1 [1] -1.90929015 - -1.90928345 [1] [2] 1.64049130 - 1.64048699 [2] [3] -0.20081739 - -0.20083007 [3] [4] 0.40777652 - 0.40778961 [4] [5] 0.05405268 - 0.05405210 [5] [6] 0.02192026 - 0.02192116 [6] [7] 1.00000000 | 1.00000000 [7] [8] -0.25867734 - -0.25867837 [8] actual$parM1$Item5 | expected$parM1$Item5 [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] -0.0055204 - -0.0055251 [8] actual$parM1$Item6 | expected$parM1$Item6 [1] 0.945660582 - 0.945660646 [1] [2] 1.419521001 - 1.419521062 [2] [3] -0.313224028 - -0.313224107 [3] [4] 0.310991880 - 0.310991767 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.058811301 - 0.058811298 [6] [7] 0.880409668 - 0.880409657 [7] [8] 0.119590332 - 0.119590343 [8] actual$parM1$Item7 | expected$parM1$Item7 [1] -1.313996673 - -1.313996743 [1] [2] 0.820933135 - 0.820933253 [2] [3] 0.153415204 - 0.153415264 [3] [4] 0.139597780 - 0.139597674 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.63552981 - -1.63554150 [1] [2] 1.16247959 - 1.16247138 [2] [3] -0.85442816 - -0.85441048 [3] [4] -0.11668125 - -0.11667586 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00676850 - 0.00676812 [6] [7] 0.86559096 - 0.86560000 [7] [8] 0.13440904 - 0.13440000 [8] actual$parM1$Item9 | expected$parM1$Item9 [1] 2.0292178 - 2.0291994 [1] [2] 1.5870281 - 1.5870152 [2] [3] -0.0043324 - -0.0042984 [3] [4] -0.1294808 - -0.1294579 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9081880 - 0.9081894 [7] [8] 0.0330801 - 0.0330775 [8] actual$parM1$Item10 | expected$parM1$Item10 [1] 0.72695379 - 0.72695267 [1] [2] 1.48025699 - 1.48026073 [2] [3] 0.19025797 - 0.19025896 [3] [4] -0.15228858 - -0.15229243 [4] [5] 0.00435216 - 0.00435370 [5] [6] -0.00435216 - -0.00435370 [6] [7] 0.94833966 - 0.94833931 [7] [8] 0.02650901 - 0.02650939 [8] actual$parM1$Item11 | expected$parM1$Item11 [1] 1.100010144 - 1.100010487 [1] [2] 1.071118317 - 1.071118399 [2] [3] 2.324115082 - 2.324099309 [3] [4] 1.172861810 - 1.172854836 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.969003950 - 0.969003883 [7] [8] 0.010566232 - 0.010566922 [8] actual$parM1$Item12 | expected$parM1$Item12 [1] -1.83982256 - -1.83982409 [1] [2] 1.06770280 - 1.06770308 [2] [3] 0.49283532 - 0.49284485 [3] [4] -0.07781120 - -0.07781537 [4] [5] 0.06380438 - 0.06380456 [5] [6] 0.01697195 - 0.01697057 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$parM1$Item13 | expected$parM1$Item13 [1] -1.1061016 - -1.1060757 [1] [2] 0.9611492 - 0.9611378 [2] [3] -0.5411758 - -0.5411974 [3] [4] 0.1163717 - 0.1163820 [4] [5] 0.0597237 - 0.0597188 [5] [6] 0.0444403 - 0.0444447 [6] [7] 1.0000000 | 1.0000000 [7] [8] 0.0000000 | 0.0000000 [8] actual$parM1$Item14 | expected$parM1$Item14 [1] -1.47100850 - -1.47101229 [1] [2] 0.80324979 - 0.80325053 [2] [3] -0.83925484 - -0.83907990 [3] [4] 0.72275150 - 0.72264467 [4] [5] 0.09422996 - 0.09423054 [5] [6] 0.08551748 - 0.08550778 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.4947744 - 0.4947587 [1] [2] 0.8750659 - 0.8750560 [2] [3] -0.2604767 - -0.2604823 [3] [4] 0.2049815 - 0.2049770 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9448528 - 0.9448575 [7] [8] -0.1424618 - -0.1424607 [8] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.424596035 - 0.424595119 [1] [2] 0.548897953 - 0.548897284 [2] [3] 0.723580549 - 0.723581673 [3] [4] 0.934744332 - 0.934746051 [4] [5] 0.048663048 - 0.048663266 [5] [6] 0.060416893 - 0.060416984 [6] [7] 0.213475367 - 0.213475868 [7] [8] 0.254307784 - 0.254307782 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.440195514 - 0.440195511 [1] [2] 0.541812273 - 0.541812298 [2] [3] 0.680132585 - 0.680132551 [3] [4] 0.771896585 - 0.771896611 [4] [5] 0.052217411 - 0.052217412 [5] [6] 0.061351682 | 0.061351682 [6] [7] 0.451801090 - 0.451801105 [7] [8] 0.581465169 - 0.581465199 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 0.54915540 - 0.54916309 [1] [2] 0.84406770 - 0.84407406 [2] [3] 0.65457360 - 0.65457970 [3] [4] 1.04476946 - 1.04477916 [4] [5] 0.30726339 - 0.30725777 [5] [6] 0.34492171 - 0.34491364 [6] [7] 0.04447330 - 0.04447248 [7] [8] 0.09301584 - 0.09301238 [8] actual$seM1$Item6 | expected$seM1$Item6 [1] 0.411903265 - 0.411903273 [1] [2] 0.656807516 - 0.656807484 [2] [3] 0.506972626 - 0.506972678 [3] [4] 0.850207523 - 0.850207391 [4] [5] 0.262132357 - 0.262132335 [5] [6] 0.292580288 - 0.292580260 [6] [7] 0.083673038 - 0.083673032 [7] [8] 0.109324605 - 0.109324606 [8] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.784107084 - 0.784106907 [1] [2] 0.821897288 - 0.821897247 [2] [3] 0.928791769 - 0.928791593 [3] [4] 1.022618129 - 1.022618157 [4] [5] 0.180769488 - 0.180769442 [5] [6] 0.221557689 - 0.221557676 [6] [7] 0.980454441 - 0.980454221 [7] [8] 1.095622142 - 1.095622058 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.46605986 - 0.46606108 [1] [2] 0.59512319 - 0.59512240 [2] [3] 0.96379650 - 0.96379959 [3] [4] 0.94805913 - 0.94805937 [4] [5] 0.07087731 - 0.07087774 [5] [6] 0.09147733 - 0.09147791 [6] [7] 0.38583669 - 0.38584847 [7] [8] 1.22691855 - 1.22692695 [8] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.50473674 - 0.50473638 [1] [2] 0.77535830 - 0.77535595 [2] [3] 0.72965225 - 0.72966167 [3] [4] 1.08404303 - 1.08404336 [4] [5] 0.44917633 - 0.44918001 [5] [6] 0.70279792 - 0.70279951 [6] [7] 0.05187092 - 0.05187156 [7] [8] 0.07621787 - 0.07621774 [8] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.351055601 - 0.351055765 [1] [2] 0.581606711 - 0.581607061 [2] [3] 0.516361727 - 0.516361846 [3] [4] 0.823667397 - 0.823667368 [4] [5] 0.206607483 - 0.206606165 [5] [6] 0.343639864 - 0.343639068 [6] [7] 0.085395431 - 0.085395124 [7] [8] 0.123585160 - 0.123584904 [8] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.534150761 - 0.534150791 [1] [2] 0.648113915 - 0.648113962 [2] [3] 0.867075677 - 0.867071913 [3] [4] 1.082312041 - 1.082308858 [4] [5] 0.521548300 - 0.521548354 [5] [6] 0.659580832 - 0.659580446 [6] [7] 0.105250889 - 0.105250858 [7] [8] 0.109353679 - 0.109353674 [8] actual$seM1$Item12 | expected$seM1$Item12 [1] 0.682150136 - 0.682150557 [1] [2] 0.799717948 - 0.799718399 [2] [3] 0.892106806 - 0.892107588 [3] [4] 1.054422306 - 1.054423464 [4] [5] 0.094446760 - 0.094446680 [5] [6] 0.148434782 - 0.148435651 [6] [7] 0.761115922 - 0.761116495 [7] [8] 0.933508262 - 0.933510418 [8] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.58892458 - 0.58892604 [1] [2] 0.74271982 - 0.74272025 [2] [3] 0.85529308 - 0.85529361 [3] [4] 1.04313279 - 1.04313238 [4] [5] 0.15796018 - 0.15796551 [5] [6] 0.18275228 - 0.18275700 [6] [7] 0.54514222 - 0.54514767 [7] [8] 0.78932452 - 0.78932785 [8] actual$seM1$Item14 | expected$seM1$Item14 [1] 1.13583878 - 1.13584061 [1] [2] 1.06408310 - 1.06408399 [2] [3] 1.31552967 - 1.31551318 [3] [4] 1.30508842 - 1.30507987 [4] [5] 0.19054395 - 0.19054330 [5] [6] 0.19681496 - 0.19681563 [6] [7] 1.34401433 - 1.34401613 [7] [8] 1.38863091 - 1.38863977 [8] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.7281699 - 0.7281753 [1] [2] 0.8488077 - 0.8488101 [2] [3] 0.9085928 - 0.9085989 [3] [4] 1.1464332 - 1.1464343 [4] [5] 0.6082345 - 0.6082423 [5] [6] 0.6693448 - 0.6693534 [6] [7] 0.2471840 - 0.2471916 [7] [8] 0.3043555 - 0.3043653 [8] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item1[1, ] 0.180281793 -0.14220880 -0.180281801 0.14220882 -0.016297838 0.016297839 0.009434399 -0.009434401 + expected$covM1$Item1[1, ] 0.180281015 -0.14220773 -0.180281009 0.14220771 -0.016297862 0.016297862 0.009434185 -0.009434189 - actual$covM1$Item1[2, ] -0.142208800 0.30128896 0.142208816 -0.30128897 0.020886691 -0.020886691 -0.095682925 0.095682923 + expected$covM1$Item1[2, ] -0.142207726 0.30128823 0.142207709 -0.30128820 0.020886785 -0.020886784 -0.095683095 0.095683097 - actual$covM1$Item1[3, ] -0.180281801 0.14220882 0.523568811 -0.46372619 0.016297839 -0.032478909 -0.009434403 0.024788505 + expected$covM1$Item1[3, ] -0.180281009 0.14220771 0.523570437 -0.46372828 0.016297861 -0.032478908 -0.009434179 0.024788422 - actual$covM1$Item1[4, ] 0.142208818 -0.30128897 -0.463726194 0.87374697 -0.020886692 0.039021930 0.095682924 -0.174960492 + expected$covM1$Item1[4, ] 0.142207708 -0.30128820 -0.463728282 0.87375018 -0.020886783 0.039021964 0.095683090 -0.174960398 - actual$covM1$Item1[5, ] -0.016297838 0.02088669 0.016297839 -0.02088669 0.002368092 -0.002368092 -0.005292538 0.005292538 + expected$covM1$Item1[5, ] -0.016297862 0.02088678 0.016297861 -0.02088678 0.002368113 -0.002368113 -0.005292587 0.005292587 - actual$covM1$Item1[6, ] 0.016297839 -0.02088669 -0.032478909 0.03902193 -0.002368092 0.003650201 0.005292538 -0.007160537 + expected$covM1$Item1[6, ] 0.016297862 -0.02088678 -0.032478908 0.03902196 -0.002368113 0.003650212 0.005292586 -0.007160560 - actual$covM1$Item1[7, ] 0.009434399 -0.09568292 -0.009434403 0.09568292 -0.005292538 0.005292538 0.045571732 -0.045571731 + expected$covM1$Item1[7, ] 0.009434185 -0.09568310 -0.009434179 0.09568309 -0.005292587 0.005292586 0.045571946 -0.045571946 - actual$covM1$Item1[8, ] -0.009434401 0.09568292 0.024788505 -0.17496049 0.005292538 -0.007160537 -0.045571731 0.064672449 + expected$covM1$Item1[8, ] -0.009434189 0.09568310 0.024788422 -0.17496040 0.005292587 -0.007160560 -0.045571946 0.064672448 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648306 -0.012481388 0.012481388 -0.04274783 0.04274783 + expected$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648307 -0.012481388 0.012481389 -0.04274783 0.04274783 - actual$covM1$Item3[2, ] -0.05648306 0.29356054 0.05648307 -0.29356054 0.024052291 -0.024052292 -0.21619775 0.21619775 + expected$covM1$Item3[2, ] -0.05648306 0.29356057 0.05648305 -0.29356057 0.024052293 -0.024052293 -0.21619777 0.21619777 - actual$covM1$Item3[3, ] -0.19377209 0.05648307 0.46258033 -0.22687774 0.012481389 -0.024789302 0.04274783 -0.02494488 + expected$covM1$Item3[3, ] -0.19377209 0.05648305 0.46258029 -0.22687769 0.012481387 -0.024789299 0.04274784 -0.02494490 - actual$covM1$Item3[4, ] 0.05648306 -0.29356054 -0.22687774 0.59582434 -0.024052292 0.037360618 0.21619775 -0.38386280 + expected$covM1$Item3[4, ] 0.05648307 -0.29356057 -0.22687769 0.59582438 -0.024052293 0.037360619 0.21619777 -0.38386284 actual$covM1$Item3[5, ] -0.01248139 0.02405229 0.01248139 -0.02405229 0.002726658 -0.002726658 -0.01500150 0.01500150 - actual$covM1$Item3[6, ] 0.01248139 -0.02405229 -0.02478930 0.03736062 -0.002726658 0.003764029 0.01500150 -0.02091491 + expected$covM1$Item3[6, ] 0.01248139 -0.02405229 -0.02478930 0.03736062 -0.002726658 0.003764029 0.01500150 -0.02091492 - actual$covM1$Item3[7, ] -0.04274783 -0.21619775 0.04274783 0.21619775 -0.015001496 0.015001497 0.20412422 -0.20412422 + expected$covM1$Item3[7, ] -0.04274783 -0.21619777 0.04274784 0.21619777 -0.015001498 0.015001498 0.20412424 -0.20412424 - actual$covM1$Item3[8, ] 0.04274783 0.21619775 -0.02494488 -0.38386280 0.015001496 -0.020914914 -0.20412422 0.33810174 + expected$covM1$Item3[8, ] 0.04274783 0.21619777 -0.02494490 -0.38386284 0.015001498 -0.020914916 -0.20412424 0.33810178 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 0.30157166 0.26588435 -0.301571646 -0.26588439 0.014151149 -0.014151157 -0.017895029 0.017895029 + expected$covM1$Item5[1, ] 0.30158010 0.26590043 -0.301580090 -0.26590045 0.014154934 -0.014154939 -0.017895100 0.017895099 - actual$covM1$Item5[2, ] 0.26588435 0.71245028 -0.265884325 -0.71245037 0.217326908 -0.217326927 -0.026568290 0.026568289 + expected$covM1$Item5[2, ] 0.26590043 0.71246101 -0.265900397 -0.71246105 0.217323877 -0.217323891 -0.026567789 0.026567786 - actual$covM1$Item5[3, ] -0.30157165 -0.26588432 0.428466601 0.28114910 -0.014151140 -0.006631521 0.017895028 -0.032468198 + expected$covM1$Item5[3, ] -0.30158009 -0.26590040 0.428474586 0.28117118 -0.014154923 -0.006625789 0.017895099 -0.032468278 - actual$covM1$Item5[4, ] -0.26588439 -0.71245037 0.281149104 1.09154322 -0.217326933 0.299753271 0.026568293 -0.066144719 + expected$covM1$Item5[4, ] -0.26590045 -0.71246105 0.281171183 1.09156349 -0.217323888 0.299747189 0.026567790 -0.066142597 - actual$covM1$Item5[5, ] 0.01415115 0.21732691 -0.014151140 -0.21732693 0.094410792 -0.094410797 -0.006384210 0.006384210 + expected$covM1$Item5[5, ] 0.01415493 0.21732388 -0.014154923 -0.21732389 0.094407337 -0.094407341 -0.006383889 0.006383888 - actual$covM1$Item5[6, ] -0.01415116 -0.21732693 -0.006631521 0.29975327 -0.094410797 0.118970984 0.006384211 -0.013318215 + expected$covM1$Item5[6, ] -0.01415494 -0.21732389 -0.006625789 0.29974719 -0.094407341 0.118965422 0.006383889 -0.013317136 - actual$covM1$Item5[7, ] -0.01789503 -0.02656829 0.017895028 0.02656829 -0.006384210 0.006384211 0.001977874 -0.001977874 + expected$covM1$Item5[7, ] -0.01789510 -0.02656779 0.017895099 0.02656779 -0.006383889 0.006383889 0.001977802 -0.001977802 - actual$covM1$Item5[8, ] 0.01789503 0.02656829 -0.032468198 -0.06614472 0.006384210 -0.013318215 -0.001977874 0.008651946 + expected$covM1$Item5[8, ] 0.01789510 0.02656779 -0.032468278 -0.06614260 0.006383888 -0.013317136 -0.001977802 0.008651303 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item6[1, ] 0.169664299 0.002710230 -0.169664294 -0.002710218 -0.04611906 0.04611906 -0.014431571 0.014431569 + expected$covM1$Item6[1, ] 0.169664307 0.002710252 -0.169664314 -0.002710253 -0.04611905 0.04611905 -0.014431574 0.014431574 - actual$covM1$Item6[2, ] 0.002710230 0.431396113 -0.002710226 -0.431396095 0.15015988 -0.15015988 -0.045104898 0.045104896 + expected$covM1$Item6[2, ] 0.002710252 0.431396071 -0.002710244 -0.431396039 0.15015986 -0.15015986 -0.045104892 0.045104892 - actual$covM1$Item6[3, ] -0.169664294 -0.002710226 0.257021244 0.027847949 0.04611906 -0.05811652 0.014431570 -0.026294680 + expected$covM1$Item6[3, ] -0.169664314 -0.002710244 0.257021296 0.027847973 0.04611905 -0.05811652 0.014431573 -0.026294687 - actual$covM1$Item6[4, ] -0.002710218 -0.431396095 0.027847949 0.722852833 -0.15015988 0.20849333 0.045104895 -0.073803740 + expected$covM1$Item6[4, ] -0.002710253 -0.431396039 0.027847973 0.722852608 -0.15015985 0.20849327 0.045104888 -0.073803729 - actual$covM1$Item6[5, ] -0.046119056 0.150159884 0.046119056 -0.150159881 0.06871337 -0.06871337 -0.012909401 0.012909400 + expected$covM1$Item6[5, ] -0.046119048 0.150159861 0.046119053 -0.150159849 0.06871336 -0.06871336 -0.012909398 0.012909397 - actual$covM1$Item6[6, ] 0.046119057 -0.150159882 -0.058116518 0.208493328 -0.06871337 0.08560322 0.012909400 -0.017438278 + expected$covM1$Item6[6, ] 0.046119048 -0.150159858 -0.058116520 0.208493268 -0.06871336 0.08560321 0.012909397 -0.017438274 - actual$covM1$Item6[7, ] -0.014431571 -0.045104898 0.014431570 0.045104895 -0.01290940 0.01290940 0.007001177 -0.007001177 + expected$covM1$Item6[7, ] -0.014431574 -0.045104892 0.014431573 0.045104888 -0.01290940 0.01290940 0.007001176 -0.007001176 - actual$covM1$Item6[8, ] 0.014431569 0.045104896 -0.026294680 -0.073803740 0.01290940 -0.01743828 -0.007001177 0.011951869 + expected$covM1$Item6[8, ] 0.014431574 0.045104892 -0.026294687 -0.073803729 0.01290940 -0.01743827 -0.007001176 0.011951870 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 0.614823920 0.2293664 -0.614823934 -0.2293665 0.008075119 -0.008075134 -0.4970704 0.4970705 + expected$covM1$Item7[1, ] 0.614823642 0.2293663 -0.614823640 -0.2293664 0.008075103 -0.008075122 -0.4970702 0.4970702 - actual$covM1$Item7[2, ] 0.229366386 0.6755152 -0.229366390 -0.6755153 0.138826735 -0.138826751 -0.7547802 0.7547803 + expected$covM1$Item7[2, ] 0.229366283 0.6755151 -0.229366285 -0.6755153 0.138826691 -0.138826726 -0.7547800 0.7547801 - actual$covM1$Item7[3, ] -0.614823934 -0.2293664 0.862654149 0.2374455 -0.008075118 -0.011701528 0.4970704 -0.5971980 + expected$covM1$Item7[3, ] -0.614823640 -0.2293663 0.862653823 0.2374453 -0.008075104 -0.011701541 0.4970702 -0.5971977 - actual$covM1$Item7[4, ] -0.229366515 -0.6755153 0.237445504 1.0457478 -0.138826760 0.209479826 0.7547804 -1.0250927 + expected$covM1$Item7[4, ] -0.229366382 -0.6755153 0.237445339 1.0457479 -0.138826728 0.209479826 0.7547802 -1.0250926 - actual$covM1$Item7[5, ] 0.008075119 0.1388267 -0.008075118 -0.1388268 0.032677608 -0.032677611 -0.1403356 0.1403356 + expected$covM1$Item7[5, ] 0.008075103 0.1388267 -0.008075104 -0.1388267 0.032677591 -0.032677598 -0.1403355 0.1403355 - actual$covM1$Item7[6, ] -0.008075134 -0.1388268 -0.011701528 0.2094798 -0.032677611 0.049087809 0.1403356 -0.1855377 + expected$covM1$Item7[6, ] -0.008075122 -0.1388267 -0.011701541 0.2094798 -0.032677598 0.049087804 0.1403356 -0.1855377 - actual$covM1$Item7[7, ] -0.497070423 -0.7547802 0.497070432 0.7547804 -0.140335577 0.140335600 0.9612909 -0.9612910 + expected$covM1$Item7[7, ] -0.497070156 -0.7547800 0.497070157 0.7547802 -0.140335508 0.140335550 0.9612905 -0.9612907 - actual$covM1$Item7[8, ] 0.497070491 0.7547803 -0.597197969 -1.0250927 0.140335588 -0.185537715 -0.9612910 1.2003879 + expected$covM1$Item7[8, ] 0.497070250 0.7547801 -0.597197709 -1.0250926 0.140335537 -0.185537697 -0.9612907 1.2003877 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 0.21721180 -0.05067919 -0.21721181 0.05067916 -0.016727692 0.016727691 -0.04568448 0.04568451 + expected$covM1$Item8[1, ] 0.21721293 -0.05067505 -0.21721294 0.05067505 -0.016727393 0.016727393 -0.04568823 0.04568824 - actual$covM1$Item8[2, ] -0.05067919 0.35417162 0.05067932 -0.35417147 0.036914445 -0.036914438 -0.20401808 0.20401784 + expected$covM1$Item8[2, ] -0.05067505 0.35417067 0.05067500 -0.35417068 0.036914681 -0.036914682 -0.20402439 0.20402444 - actual$covM1$Item8[3, ] -0.21721181 0.05067932 0.92890369 0.17793591 0.016727706 -0.015627519 0.04568440 -0.73525696 + expected$covM1$Item8[3, ] -0.21721294 0.05067500 0.92890964 0.17794430 0.016727388 -0.015626913 0.04568827 -0.73526903 - actual$covM1$Item8[4, ] 0.05067916 -0.35417147 0.17793591 0.89881612 -0.036914430 0.074224240 0.20401800 -0.98882785 + expected$covM1$Item8[4, ] 0.05067505 -0.35417068 0.17794430 0.89881657 -0.036914681 0.074224803 0.20402440 -0.98883893 - actual$covM1$Item8[5, ] -0.01672769 0.03691445 0.01672771 -0.03691443 0.005023592 -0.005023592 -0.01817277 0.01817274 + expected$covM1$Item8[5, ] -0.01672739 0.03691468 0.01672739 -0.03691468 0.005023655 -0.005023655 -0.01817352 0.01817353 - actual$covM1$Item8[6, ] 0.01672769 -0.03691444 -0.01562752 0.07422424 -0.005023592 0.008368102 0.01817277 -0.06501120 + expected$covM1$Item8[6, ] 0.01672739 -0.03691468 -0.01562691 0.07422480 -0.005023655 0.008368207 0.01817352 -0.06501257 - actual$covM1$Item8[7, ] -0.04568448 -0.20401808 0.04568440 0.20401800 -0.018172770 0.018172766 0.14886995 -0.14886981 + expected$covM1$Item8[7, ] -0.04568823 -0.20402439 0.04568827 0.20402440 -0.018173524 0.018173525 0.14887904 -0.14887907 - actual$covM1$Item8[8, ] 0.04568451 0.20401784 -0.73525696 -0.98882785 0.018172744 -0.065011201 -0.14886981 1.50532912 + expected$covM1$Item8[8, ] 0.04568824 0.20402444 -0.73526903 -0.98883893 0.018173528 -0.065012570 -0.14887907 1.50534974 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item9[1, ] 0.25475917 0.07025672 -0.25475490 -0.07025636 -0.06274698 0.06274585 -0.013663845 0.013663896 + expected$covM1$Item9[1, ] 0.25475881 0.07024992 -0.25475808 -0.07024849 -0.06275074 0.06275105 -0.013663700 0.013663655 - actual$covM1$Item9[2, ] 0.07025672 0.60118049 -0.07025539 -0.60118038 0.30597946 -0.30597983 -0.031332253 0.031332288 + expected$covM1$Item9[2, ] 0.07024992 0.60117685 -0.07024990 -0.60117701 0.30598139 -0.30598158 -0.031332654 0.031332662 - actual$covM1$Item9[3, ] -0.25475490 -0.07025539 0.53239241 0.08083954 0.06274601 -0.17381536 0.013663609 -0.025656774 + expected$covM1$Item9[3, ] -0.25475808 -0.07024990 0.53240615 0.08083796 0.06275046 -0.17381997 0.013663670 -0.025657010 - actual$covM1$Item9[4, ] -0.07025636 -0.60118038 0.08083954 1.17514929 -0.30597954 0.67373042 0.031332233 -0.065022801 + expected$covM1$Item9[4, ] -0.07024849 -0.60117701 0.08083796 1.17515001 -0.30598205 0.67373212 0.031332603 -0.065022751 - actual$covM1$Item9[5, ] -0.06274698 0.30597946 0.06274601 -0.30597954 0.20175938 -0.20175913 -0.013085260 0.013085260 + expected$covM1$Item9[5, ] -0.06275074 0.30598139 0.06275046 -0.30598205 0.20176268 -0.20176292 -0.013085605 0.013085628 - actual$covM1$Item9[6, ] 0.06274585 -0.30597983 -0.17381536 0.67373042 -0.20175913 0.49392492 0.013085324 -0.031002528 + expected$covM1$Item9[6, ] 0.06275105 -0.30598158 -0.17381997 0.67373212 -0.20176292 0.49392715 0.013085602 -0.031002435 - actual$covM1$Item9[7, ] -0.01366385 -0.03133225 0.01366361 0.03133223 -0.01308526 0.01308532 0.002690592 -0.002690596 + expected$covM1$Item9[7, ] -0.01366370 -0.03133265 0.01366367 0.03133260 -0.01308561 0.01308560 0.002690658 -0.002690657 - actual$covM1$Item9[8, ] 0.01366390 0.03133229 -0.02565677 -0.06502280 0.01308526 -0.03100253 -0.002690596 0.005809164 + expected$covM1$Item9[8, ] 0.01366365 0.03133266 -0.02565701 -0.06502275 0.01308563 -0.03100243 -0.002690657 0.005809144 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item10[1, ] 0.123240035 0.004514414 -0.123240043 -0.004514379 -0.03078696 0.03078698 -0.013233322 0.013233317 + expected$covM1$Item10[1, ] 0.123240150 0.004514483 -0.123240156 -0.004514475 -0.03078682 0.03078682 -0.013233311 0.013233312 - actual$covM1$Item10[2, ] 0.004514414 0.338266366 -0.004514523 -0.338266400 0.10337176 -0.10337175 -0.040320768 0.040320781 + expected$covM1$Item10[2, ] 0.004514483 0.338266774 -0.004514401 -0.338266690 0.10337108 -0.10337107 -0.040320596 0.040320576 - actual$covM1$Item10[3, ] -0.123240043 -0.004514523 0.266629433 -0.003080438 0.03078693 -0.07613331 0.013233335 -0.026303400 + expected$covM1$Item10[3, ] -0.123240156 -0.004514401 0.266629556 -0.003080710 0.03078685 -0.07613330 0.013233302 -0.026303354 - actual$covM1$Item10[4, ] -0.004514379 -0.338266400 -0.003080438 0.678427981 -0.10337178 0.24605973 0.040320768 -0.083396296 + expected$covM1$Item10[4, ] -0.004514475 -0.338266690 -0.003080710 0.678427933 -0.10337106 0.24605896 0.040320585 -0.083396045 - actual$covM1$Item10[5, ] -0.030786962 0.103371759 0.030786930 -0.103371778 0.04268665 -0.04268665 -0.010016501 0.010016506 + expected$covM1$Item10[5, ] -0.030786821 0.103371082 0.030786848 -0.103371059 0.04268611 -0.04268610 -0.010016368 0.010016361 - actual$covM1$Item10[6, ] 0.030786976 -0.103371749 -0.076133313 0.246059727 -0.04268665 0.11808836 0.010016498 -0.025064337 + expected$covM1$Item10[6, ] 0.030786824 -0.103371068 -0.076133298 0.246058961 -0.04268610 0.11808781 0.010016366 -0.025064184 - actual$covM1$Item10[7, ] -0.013233322 -0.040320768 0.013233335 0.040320768 -0.01001650 0.01001650 0.007292380 -0.007292381 + expected$covM1$Item10[7, ] -0.013233311 -0.040320596 0.013233302 0.040320585 -0.01001637 0.01001637 0.007292327 -0.007292325 - actual$covM1$Item10[8, ] 0.013233317 0.040320781 -0.026303400 -0.083396296 0.01001651 -0.02506434 -0.007292381 0.015273292 + expected$covM1$Item10[8, ] 0.013233312 0.040320576 -0.026303354 -0.083396045 0.01001636 -0.02506418 -0.007292325 0.015273228 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item11[1, ] 0.2853170350 -0.13513475 -0.2853170333 0.13513473 -0.19501418 0.19501418 0.0008025076 -0.0008025077 + expected$covM1$Item11[1, ] 0.2853170680 -0.13513477 -0.2853171198 0.13513471 -0.19501422 0.19501420 0.0008025077 -0.0008025058 - actual$covM1$Item11[2, ] -0.1351347455 0.42005165 0.1351347479 -0.42005162 0.31078868 -0.31078866 -0.0603193445 0.0603193433 + expected$covM1$Item11[2, ] -0.1351347690 0.42005171 0.1351348313 -0.42005162 0.31078874 -0.31078870 -0.0603193300 0.0603193272 - actual$covM1$Item11[3, ] -0.2853170333 0.13513475 0.7518202302 0.31830358 0.19501418 -0.09585123 -0.0008025082 -0.0138611184 + expected$covM1$Item11[3, ] -0.2853171198 0.13513483 0.7518137019 0.31829662 0.19501428 -0.09585322 -0.0008025142 -0.0138610701 - actual$covM1$Item11[4, ] 0.1351347318 -0.42005162 0.3183035770 1.17139935 -0.31078866 0.61202503 0.0603193405 -0.0767658804 + expected$covM1$Item11[4, ] 0.1351347105 -0.42005162 0.3182966215 1.17139246 -0.31078866 0.61202317 0.0603193191 -0.0767658668 - actual$covM1$Item11[5, ] -0.1950141836 0.31078868 0.1950141844 -0.31078866 0.27201263 -0.27201262 -0.0388227762 0.0388227755 + expected$covM1$Item11[5, ] -0.1950142183 0.31078874 0.1950142769 -0.31078866 0.27201269 -0.27201266 -0.0388227682 0.0388227657 - actual$covM1$Item11[6, ] 0.1950141757 -0.31078866 -0.0958512284 0.61202503 -0.27201262 0.43504687 0.0388227739 -0.0440350966 + expected$covM1$Item11[6, ] 0.1950142009 -0.31078870 -0.0958532239 0.61202317 -0.27201266 0.43504636 0.0388227639 -0.0440351038 - actual$covM1$Item11[7, ] 0.0008025076 -0.06031934 -0.0008025082 0.06031934 -0.03882278 0.03882277 0.0110777496 -0.0110777493 + expected$covM1$Item11[7, ] 0.0008025077 -0.06031933 -0.0008025142 0.06031932 -0.03882277 0.03882276 0.0110777432 -0.0110777428 - actual$covM1$Item11[8, ] -0.0008025077 0.06031934 -0.0138611184 -0.07676588 0.03882278 -0.04403510 -0.0110777493 0.0119582270 + expected$covM1$Item11[8, ] -0.0008025058 0.06031933 -0.0138610701 -0.07676587 0.03882277 -0.04403510 -0.0110777428 0.0119582260 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item12[1, ] 0.46532881 0.03519917 -0.46532881 -0.03519913 -0.017663738 0.017663743 -0.23638440 0.23638437 + expected$covM1$Item12[1, ] 0.46532938 0.03519918 -0.46532939 -0.03519920 -0.017663737 0.017663735 -0.23638470 0.23638472 - actual$covM1$Item12[2, ] 0.03519917 0.63954880 -0.03519915 -0.63954861 0.067234175 -0.067234163 -0.55221451 0.55221438 + expected$covM1$Item12[2, ] 0.03519918 0.63954952 -0.03519932 -0.63954966 0.067234153 -0.067234152 -0.55221523 0.55221533 - actual$covM1$Item12[3, ] -0.46532881 -0.03519915 0.79585455 0.04754226 0.017663741 -0.038085248 0.23638438 -0.36834562 + expected$covM1$Item12[3, ] -0.46532939 -0.03519932 0.79585595 0.04754444 0.017663723 -0.038085119 0.23638482 -0.36834784 - actual$covM1$Item12[4, ] -0.03519913 -0.63954861 0.04754226 1.11180640 -0.067234157 0.137902854 0.55221433 -0.88825033 + expected$covM1$Item12[4, ] -0.03519920 -0.63954966 0.04754444 1.11180884 -0.067234166 0.137903755 0.55221536 -0.88825380 - actual$covM1$Item12[5, ] -0.01766374 0.06723418 0.01766374 -0.06723416 0.008920190 -0.008920189 -0.05055105 0.05055104 + expected$covM1$Item12[5, ] -0.01766374 0.06723415 0.01766372 -0.06723417 0.008920175 -0.008920175 -0.05055105 0.05055105 - actual$covM1$Item12[6, ] 0.01766374 -0.06723416 -0.03808525 0.13790285 -0.008920189 0.022032884 0.05055104 -0.09433352 + expected$covM1$Item12[6, ] 0.01766373 -0.06723415 -0.03808512 0.13790376 -0.008920175 0.022033142 0.05055105 -0.09433432 - actual$covM1$Item12[7, ] -0.23638440 -0.55221451 0.23638438 0.55221433 -0.050551053 0.050551041 0.57929745 -0.57929733 + expected$covM1$Item12[7, ] -0.23638470 -0.55221523 0.23638482 0.55221536 -0.050551045 0.050551046 0.57929832 -0.57929841 - actual$covM1$Item12[8, ] 0.23638437 0.55221438 -0.36834562 -0.88825033 0.050551041 -0.094333518 -0.57929733 0.87143767 + expected$covM1$Item12[8, ] 0.23638472 0.55221533 -0.36834784 -0.88825380 0.050551055 -0.094334319 -0.57929841 0.87144170 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item13[1, ] 0.346832163 -0.001452976 -0.346832155 0.001452979 -0.03101076 0.03101076 -0.12039290 0.12039289 + expected$covM1$Item13[1, ] 0.346833879 -0.001449219 -0.346833876 0.001449206 -0.03101099 0.03101099 -0.12039596 0.12039597 - actual$covM1$Item13[2, ] -0.001452976 0.551632728 0.001453087 -0.551632824 0.10722592 -0.10722594 -0.36983550 0.36983552 + expected$covM1$Item13[2, ] -0.001449219 0.551633366 0.001449266 -0.551633339 0.10722983 -0.10722983 -0.36984003 0.36983999 - actual$covM1$Item13[3, ] -0.346832155 0.001453087 0.731526255 -0.023016131 0.03101078 -0.05329754 0.12039282 -0.25410484 + expected$covM1$Item13[3, ] -0.346833876 0.001449266 0.731527155 -0.023011660 0.03101100 -0.05329773 0.12039593 -0.25410804 - actual$covM1$Item13[4, ] 0.001452979 -0.551632824 -0.023016131 1.088126023 -0.10722594 0.16616822 0.36983556 -0.74287641 + expected$covM1$Item13[4, ] 0.001449206 -0.551633339 -0.023011660 1.088125162 -0.10722983 0.16617219 0.36984002 -0.74288007 - actual$covM1$Item13[5, ] -0.031010759 0.107225923 0.031010780 -0.107225942 0.02495142 -0.02495142 -0.06329570 0.06329571 + expected$covM1$Item13[5, ] -0.031010987 0.107229832 0.031010996 -0.107229825 0.02495310 -0.02495310 -0.06329883 0.06329882 - actual$covM1$Item13[6, ] 0.031010759 -0.107225936 -0.053297543 0.166168218 -0.02495142 0.03339840 0.06329571 -0.09836558 + expected$covM1$Item13[6, ] 0.031010986 -0.107229829 -0.053297734 0.166172192 -0.02495310 0.03340012 0.06329883 -0.09836876 - actual$covM1$Item13[7, ] -0.120392897 -0.369835497 0.120392820 0.369835561 -0.06329570 0.06329571 0.29718003 -0.29718005 + expected$covM1$Item13[7, ] -0.120395965 -0.369840030 0.120395932 0.369840016 -0.06329883 0.06329883 0.29718598 -0.29718595 - actual$covM1$Item13[8, ] 0.120392893 0.369835524 -0.254104838 -0.742876412 0.06329571 -0.09836558 -0.29718005 0.62303319 + expected$covM1$Item13[8, ] 0.120395968 0.369839990 -0.254108038 -0.742880067 0.06329882 -0.09836876 -0.29718595 0.62303846 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item14[1, ] 1.29012972 0.5768067 -1.29012979 -0.5768067 0.04202913 -0.04202912 -1.1245212 1.1245212 + expected$covM1$Item14[1, ] 1.29013389 0.5768087 -1.29013390 -0.5768087 0.04202913 -0.04202913 -1.1245253 1.1245253 - actual$covM1$Item14[2, ] 0.57680674 1.1322728 -0.57680681 -1.1322727 0.18989000 -0.18989000 -1.3451745 1.3451745 + expected$covM1$Item14[2, ] 0.57680872 1.1322747 -0.57680876 -1.1322746 0.18988948 -0.18988948 -1.3451774 1.3451773 - actual$covM1$Item14[3, ] -1.29012979 -0.5768068 1.73061832 0.2906231 -0.04202914 0.01751389 1.1245213 -1.1126608 + expected$covM1$Item14[3, ] -1.29013390 -0.5768088 1.73057493 0.2906891 -0.04202914 0.01751352 1.1245253 -1.1126825 - actual$covM1$Item14[4, ] -0.57680665 -1.1322727 0.29062312 1.7032558 -0.18988998 0.21828024 1.3451744 -1.5619705 + expected$covM1$Item14[4, ] -0.57680865 -1.1322746 0.29068913 1.7032335 -0.18988947 0.21828314 1.3451772 -1.5619906 - actual$covM1$Item14[5, ] 0.04202913 0.1898900 -0.04202914 -0.1898900 0.03630700 -0.03630700 -0.2049987 0.2049987 + expected$covM1$Item14[5, ] 0.04202913 0.1898895 -0.04202914 -0.1898895 0.03630675 -0.03630675 -0.2049982 0.2049982 - actual$covM1$Item14[6, ] -0.04202912 -0.1898900 0.01751389 0.2182802 -0.03630700 0.03873613 0.2049987 -0.2135023 + expected$covM1$Item14[6, ] -0.04202913 -0.1898895 0.01751352 0.2182831 -0.03630675 0.03873639 0.2049982 -0.2135040 - actual$covM1$Item14[7, ] -1.12452124 -1.3451745 1.12452133 1.3451744 -0.20499871 0.20499870 1.8063745 -1.8063745 + expected$covM1$Item14[7, ] -1.12452529 -1.3451774 1.12452534 1.3451772 -0.20499822 0.20499821 1.8063793 -1.8063793 - actual$covM1$Item14[8, ] 1.12452121 1.3451745 -1.11266084 -1.5619705 0.20499870 -0.21350228 -1.8063745 1.9282958 + expected$covM1$Item14[8, ] 1.12452525 1.3451773 -1.11268248 -1.5619906 0.20499821 -0.21350400 -1.8063793 1.9283204 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 0.53023134 -0.2644534 -0.530231308 0.2644534 -0.3092289 0.3092289 0.01617392 -0.016173904 + expected$covM1$Item15[1, ] 0.53023927 -0.2644582 -0.530239287 0.2644583 -0.3092356 0.3092356 0.01617564 -0.016175658 - actual$covM1$Item15[2, ] -0.26445341 0.7204745 0.264453287 -0.7204746 0.4833377 -0.4833377 -0.19288102 0.192881027 + expected$covM1$Item15[2, ] -0.26445820 0.7204786 0.264458183 -0.7204786 0.4833458 -0.4833458 -0.19288788 0.192887899 - actual$covM1$Item15[3, ] -0.53023131 0.2644533 0.825540852 -0.3536748 0.3092288 -0.3923990 -0.01617388 -0.002782237 + expected$covM1$Item15[3, ] -0.53023929 0.2644582 0.825552007 -0.3536826 0.3092355 -0.3924076 -0.01617563 -0.002780406 - actual$covM1$Item15[4, ] 0.26445337 -0.7204746 -0.353674825 1.3143090 -0.4833377 0.6797754 0.19288103 -0.313293823 + expected$covM1$Item15[4, ] 0.26445825 -0.7204786 -0.353682554 1.3143115 -0.4833458 0.6797861 0.19288787 -0.313305071 - actual$covM1$Item15[5, ] -0.30922892 0.4833377 0.309228841 -0.4833377 0.3699492 -0.3699492 -0.11566501 0.115665014 + expected$covM1$Item15[5, ] -0.30923555 0.4833458 0.309235547 -0.4833458 0.3699587 -0.3699587 -0.11567060 0.115670621 - actual$covM1$Item15[6, ] 0.30922890 -0.4833377 -0.392399037 0.6797754 -0.3699492 0.4480225 0.11566501 -0.150122940 + expected$covM1$Item15[6, ] 0.30923557 -0.4833458 -0.392407610 0.6797861 -0.3699587 0.4480340 0.11567061 -0.150130417 - actual$covM1$Item15[7, ] 0.01617392 -0.1928810 -0.016173883 0.1928810 -0.1156650 0.1156650 0.06109991 -0.061099919 + expected$covM1$Item15[7, ] 0.01617564 -0.1928879 -0.016175634 0.1928879 -0.1156706 0.1156706 0.06110370 -0.061103703 - actual$covM1$Item15[8, ] -0.01617390 0.1928810 -0.002782237 -0.3132938 0.1156650 -0.1501229 -0.06109992 0.092632245 + expected$covM1$Item15[8, ] -0.01617566 0.1928879 -0.002780406 -0.3133051 0.1156706 -0.1501304 -0.06110370 0.092638208 ── Failure ('test-difNLR.R:509:3'): testing paper code - R Journal 2020 - generated data ── Expected `... <- NULL` to throw a message. Backtrace: ▆ 1. ├─testthat::expect_message(...) at test-difNLR.R:509:3 2. │ └─testthat:::expect_condition_matching_(...) 3. │ └─testthat:::quasi_capture(...) 4. │ ├─testthat (local) .capture(...) 5. │ │ └─base::withCallingHandlers(...) 6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo)) 7. └─testthat::expect_message(...) ── Failure ('test-difNLR.R:509:3'): testing paper code - R Journal 2020 - generated data ── Expected `expect_message(...)` to throw a message. ── Failure ('test-difNLR.R:514:3'): testing paper code - R Journal 2020 - generated data ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:621:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:627:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fit12b` to equal `fit12b_expected`. Differences: actual$Sval | expected$Sval [1] 2.093482953 | 2.093482953 [1] [2] 0.789631643 - 0.789631652 [2] [3] 17.651549159 - 17.651549152 [3] [4] 4.840289796 - 4.840289795 [4] [5] 13.156640531 - 13.157333673 [5] [6] 3.871428579 | 3.871428579 [6] [7] 1.577764911 | 1.577764911 [7] [8] 10.909263458 | 10.909263458 [8] [9] 0.609726070 - 0.609726059 [9] [10] 2.485424900 - 2.485338076 [10] ... ... ... and 5 more ... actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.35746079 - 0.35745971 [1] [2] 1.77519049 - 1.77518955 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.82152317 - 0.82152338 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrPAR[[3]] | expected$nlrPAR[[3]] [1] -2.3199631 - -2.3197733 [1] [2] 5.3421365 - 5.3415445 [2] [3] -25.4964528 - -25.4964281 [3] [4] 9.8076985 - 9.8081699 [4] [5] 0.0376932 - 0.0376918 [5] [6] 0.0437675 - 0.0437688 [6] [7] 0.3018453 - 0.3018493 [7] [8] 0.6981547 - 0.6981507 [8] actual$nlrPAR[[5]] | expected$nlrPAR[[5]] [1] 5.12797 - 5.16284 [1] [2] 8.07602 - 8.10857 [2] [3] -4.10592 - -4.14541 [3] [4] -6.69324 - -6.72599 [4] [5] 0.26881 - 0.26828 [5] [6] -0.26881 - -0.26828 [6] [7] 0.82650 - 0.82589 [7] [8] -0.03161 - -0.03059 [8] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.4729980 - -1.4730029 [1] [2] 1.6516312 - 1.6518039 [2] [3] -0.8481872 - -0.8481823 [3] [4] -0.3600650 - -0.3602377 [4] [5] 0.0384072 - 0.0384135 [5] [6] -0.0384072 - -0.0384135 [6] [7] 0.5958526 - 0.5958153 [7] [8] 0.0759435 - 0.0759808 [8] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 1.9367668 - 1.9367987 [1] [2] 1.6539646 - 1.6539875 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0000000 | 0.0000000 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9430469 - 0.9430443 [7] [8] 0.0000000 | 0.0000000 [8] actual$nlrPAR[[11]] | expected$nlrPAR[[11]] [1] 0.128202655 - 0.128183950 [1] [2] 1.125003661 - 1.125023799 [2] [3] 3.463543589 - 3.463561224 [3] [4] 1.510459054 - 1.510437940 [4] [5] 0.330662387 - 0.330668718 [5] [6] -0.330662387 - -0.330668718 [6] [7] 1.000000000 | 1.000000000 [7] [8] -0.042567298 - -0.042567283 [8] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] -1.66009050 - -1.66008240 [1] [2] 1.33991768 - 1.33991285 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.13504804 - 0.13504722 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] `actual$nlrPAR[[14]]` is a double vector (-1.23566868838301, 0.929485919261406, 0, 0, 0.0679990023329196, ...) `expected$nlrPAR[[14]]` is a logical vector (NA, NA, NA, NA, NA, ...) actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.35938123 - 0.35938085 [1] [2] 0.92645356 - 0.92645250 [2] [3] -0.70337283 - -0.70337258 [3] [4] -0.29152945 - -0.29152742 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.354203780 - 0.354203751 [1] [2] 0.684475083 - 0.684474846 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.123356423 - 0.123356465 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.083923066 - 0.083923146 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 2.01441185 - 2.01422145 [1] [2] 4.55481384 - 4.55422652 [2] [3] 45.88628206 - 45.88470108 [3] [4] 27.17529638 - 27.17429000 [4] [5] 0.03196063 - 0.03196191 [5] [6] 0.03831176 - 0.03831283 [6] [7] 0.05301940 - 0.05302205 [7] [8] 0.15715096 - 0.15715189 [8] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 2.831687 - 2.843232 [1] [2] 4.884886 - 4.881027 [2] [3] 2.919046 - 2.929939 [3] [4] 5.007261 - 5.003131 [4] [5] 0.088102 - 0.088051 [5] [6] 0.411614 - 0.410328 [6] [7] 0.041607 - 0.041566 [7] [8] 0.133356 - 0.133532 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.8085484 - 0.8085699 [1] [2] 1.1780994 - 1.1781691 [2] [3] 1.2789891 - 1.2790027 [3] [4] 1.6155253 - 1.6155762 [4] [5] 0.0737609 - 0.0737526 [5] [6] 0.0983961 - 0.0983899 [6] [7] 0.2400120 - 0.2399573 [7] [8] 0.6294437 - 0.6294228 [8] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.4655066 - 0.4655093 [1] [2] 0.7330510 - 0.7330551 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0000000 | 0.0000000 [4] [5] 0.3729587 - 0.3729535 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.0536663 - 0.0536652 [7] [8] 0.0000000 | 0.0000000 [8] actual$nlrSE[[11]] | expected$nlrSE[[11]] [1] 0.8419896 - 0.8419775 [1] [2] 1.3140020 - 1.3139954 [2] [3] 1.4691407 - 1.4691334 [3] [4] 1.8800335 - 1.8800289 [4] [5] 0.3588125 - 0.3587939 [5] [6] 0.5100984 - 0.5100855 [6] [7] 0.2566619 - 0.2566554 [7] [8] 0.2601705 - 0.2601641 [8] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.57657355 - 0.57657277 [1] [2] 0.72417834 - 0.72417780 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.07691239 - 0.07691293 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.35708734 - 0.35708867 [7] [8] 0.00000000 | 0.00000000 [8] `actual$nlrSE[[14]]` is a double vector (0.702643015237967, 0.815358854678453, 0, 0, 0.158538986678922, ...) `expected$nlrSE[[14]]` is a logical vector (NA, NA, NA, NA, NA, ...) actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.95061735 - 0.95061909 [1] [2] 1.30016990 - 1.30017136 [2] [3] 1.54750906 - 1.54750791 [3] [4] 1.93544833 - 1.93544739 [4] [5] 0.81941644 - 0.81941848 [5] [6] 1.17045038 - 1.17044962 [6] [7] 0.40982958 - 0.40983069 [7] [8] 1.25697730 - 1.25697337 [8] `actual$parM0$Item2`: 0.35746079 1.77519049 0.00000000 0.82152317 `expected$parM0$Item2`: 0.35745971 1.77518955 0.00000000 0.82152338 `actual$parM0$Item5`: 1.359628667 1.599830035 0.000000000 0.846203266 `expected$parM0$Item5`: 1.359628363 1.599829768 0.000000000 0.846203299 `actual$parM0$Item9`: 1.9367668 1.6539646 0.0000000 0.9430469 `expected$parM0$Item9`: 1.9367987 1.6539875 0.0000000 0.9430443 `actual$parM0$Item13`: -1.66009050 1.33991768 0.13504804 1.00000000 `expected$parM0$Item13`: -1.66008240 1.33991285 0.13504722 1.00000000 `actual$parM0$Item14`: -1.235668688 0.929485919 0.067999002 1.000000000 `expected$parM0$Item14`: -1.235668242 0.929485444 0.067998934 1.000000000 `actual$parM0$Item15`: -0.002871154 0.741514022 0.000000000 1.000000000 `expected$parM0$Item15`: -0.002870816 0.741514036 0.000000000 1.000000000 `actual$seM0$Item2`: 0.354203780 0.684475083 0.123356423 0.083923066 `expected$seM0$Item2`: 0.354203751 0.684474846 0.123356465 0.083923146 `actual$seM0$Item3`: 0.614646293 0.667965483 0.044831990 0.751300799 `expected$seM0$Item3`: 0.614646232 0.667965449 0.044831989 0.751300770 `actual$seM0$Item5`: 0.481953236 0.804813562 0.291545907 0.072434442 `expected$seM0$Item5`: 0.481953218 0.804813504 0.291545961 0.072434456 `actual$seM0$Item9`: 0.4655066 0.7330510 0.3729587 0.0536663 `expected$seM0$Item9`: 0.4655093 0.7330551 0.3729535 0.0536652 `actual$seM0$Item11`: 0.563259467 0.797881387 0.586945683 0.068677472 `expected$seM0$Item11`: 0.563259429 0.797881417 0.586945703 0.068677471 `actual$seM0$Item13`: 0.57657355 0.72417834 0.07691239 0.35708734 `expected$seM0$Item13`: 0.57657277 0.72417780 0.07691293 0.35708867 `actual$seM0$Item14`: 0.70264302 0.81535885 0.15853899 0.68836089 `expected$seM0$Item14`: 0.70264343 0.81535916 0.15853917 0.68836163 `actual$seM0$Item15`: 0.77548569 0.96120960 0.61211662 0.51441550 `expected$seM0$Item15`: 0.77546791 0.96121158 0.61211727 0.51441502 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] - actual$covM0$Item2[1, ] 0.12546032 0.01600656 -0.017484507 -0.015139077 + expected$covM0$Item2[1, ] 0.12546030 0.01600639 -0.017484532 -0.015139075 - actual$covM0$Item2[2, ] 0.01600656 0.46850614 0.068668193 -0.043624943 + expected$covM0$Item2[2, ] 0.01600639 0.46850581 0.068668203 -0.043624981 - actual$covM0$Item2[3, ] -0.01748451 0.06866819 0.015216807 -0.005050117 + expected$covM0$Item2[3, ] -0.01748453 0.06866820 0.015216817 -0.005050126 - actual$covM0$Item2[4, ] -0.01513908 -0.04362494 -0.005050117 0.007043081 + expected$covM0$Item2[4, ] -0.01513907 -0.04362498 -0.005050126 0.007043094 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.37779007 -0.03882079 -0.011412623 -0.1627677 + expected$covM0$Item3[1, ] 0.37778999 -0.03882075 -0.011412619 -0.1627677 - actual$covM0$Item3[2, ] -0.03882079 0.44617789 0.025013289 -0.4452426 + expected$covM0$Item3[2, ] -0.03882075 0.44617784 0.025013287 -0.4452425 actual$covM0$Item3[3, ] -0.01141262 0.02501329 0.002009907 -0.0211514 - actual$covM0$Item3[4, ] -0.16276769 -0.44524258 -0.021151404 0.5644529 + expected$covM0$Item3[4, ] -0.16276770 -0.44524254 -0.021151403 0.5644528 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.23227892 0.08629765 -0.03249396 -0.020520656 + expected$covM0$Item5[1, ] 0.23227890 0.08629751 -0.03249401 -0.020520651 - actual$covM0$Item5[2, ] 0.08629765 0.64772487 0.20386028 -0.045111270 + expected$covM0$Item5[2, ] 0.08629751 0.64772478 0.20386031 -0.045111277 - actual$covM0$Item5[3, ] -0.03249396 0.20386028 0.08499902 -0.011494711 + expected$covM0$Item5[3, ] -0.03249401 0.20386031 0.08499905 -0.011494716 - actual$covM0$Item5[4, ] -0.02052066 -0.04511127 -0.01149471 0.005246748 + expected$covM0$Item5[4, ] -0.02052065 -0.04511128 -0.01149472 0.005246750 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] - actual$covM0$Item9[1, ] 0.21669637 0.09920145 -0.02810531 -0.015318804 + expected$covM0$Item9[1, ] 0.21669891 0.09921175 -0.02810089 -0.015318989 - actual$covM0$Item9[2, ] 0.09920145 0.53736380 0.23993657 -0.029885042 + expected$covM0$Item9[2, ] 0.09921175 0.53736971 0.23993405 -0.029884439 - actual$covM0$Item9[3, ] -0.02810531 0.23993657 0.13909816 -0.010791228 + expected$covM0$Item9[3, ] -0.02810089 0.23993405 0.13909431 -0.010790751 - actual$covM0$Item9[4, ] -0.01531880 -0.02988504 -0.01079123 0.002880068 + expected$covM0$Item9[4, ] -0.01531899 -0.02988444 -0.01079075 0.002879954 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] [,4] - actual$covM0$Item11[1, ] 0.31726123 -0.05669515 -0.16785082 -0.011100733 + expected$covM0$Item11[1, ] 0.31726118 -0.05669517 -0.16785082 -0.011100729 - actual$covM0$Item11[2, ] -0.05669515 0.63661471 0.42438104 -0.044653974 + expected$covM0$Item11[2, ] -0.05669517 0.63661475 0.42438108 -0.044653976 - actual$covM0$Item11[3, ] -0.16785082 0.42438104 0.34450524 -0.024960115 + expected$covM0$Item11[3, ] -0.16785082 0.42438108 0.34450526 -0.024960118 - actual$covM0$Item11[4, ] -0.01110073 -0.04465397 -0.02496011 0.004716595 + expected$covM0$Item11[4, ] -0.01110073 -0.04465398 -0.02496012 0.004716595 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.33243706 -0.15554523 -0.029739605 -0.02580202 + expected$covM0$Item13[1, ] 0.33243616 -0.15554292 -0.029739639 -0.02580286 - actual$covM0$Item13[2, ] -0.15554523 0.52443427 0.045822417 -0.21908648 + expected$covM0$Item13[2, ] -0.15554292 0.52443349 0.045822766 -0.21908733 - actual$covM0$Item13[3, ] -0.02973960 0.04582242 0.005915516 -0.01549431 + expected$covM0$Item13[3, ] -0.02973964 0.04582277 0.005915598 -0.01549452 - actual$covM0$Item13[4, ] -0.02580202 -0.21908648 -0.015494306 0.12751137 + expected$covM0$Item13[4, ] -0.02580286 -0.21908733 -0.015494520 0.12751232 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] [,4] - actual$covM0$Item14[1, ] 0.49370721 0.06430097 -0.02562503 -0.23252192 + expected$covM0$Item14[1, ] 0.49370779 0.06430145 -0.02562498 -0.23252255 - actual$covM0$Item14[2, ] 0.06430097 0.66481006 0.11747525 -0.51281016 + expected$covM0$Item14[2, ] 0.06430145 0.66481055 0.11747544 -0.51281095 - actual$covM0$Item14[3, ] -0.02562503 0.11747525 0.02513461 -0.07948284 + expected$covM0$Item14[3, ] -0.02562498 0.11747544 0.02513467 -0.07948304 - actual$covM0$Item14[4, ] -0.23252192 -0.51281016 -0.07948284 0.47384071 + expected$covM0$Item14[4, ] -0.23252255 -0.51281095 -0.07948304 0.47384173 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.60137806 -0.2033310 -0.2531193 -0.01492302 + expected$covM0$Item15[1, ] 0.60135048 -0.2033324 -0.2531145 -0.01491655 - actual$covM0$Item15[2, ] -0.20333105 0.9239239 0.5597288 -0.46550302 + expected$covM0$Item15[2, ] -0.20333244 0.9239277 0.5597316 -0.46550469 - actual$covM0$Item15[3, ] -0.25311935 0.5597288 0.3746868 -0.25885124 + expected$covM0$Item15[3, ] -0.25311450 0.5597316 0.3746876 -0.25885369 - actual$covM0$Item15[4, ] -0.01492302 -0.4655030 -0.2588512 0.26462331 + expected$covM0$Item15[4, ] -0.01491655 -0.4655047 -0.2588537 0.26462281 actual$parM1$Item1 | expected$parM1$Item1 [1] -1.189848991 - -1.189848984 [1] [2] 1.145283434 - 1.145283431 [2] [3] -0.817141498 - -0.817141592 [3] [4] 0.723674493 - 0.723674568 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.062796987 - 0.062796995 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$parM1$Item2 | expected$parM1$Item2 [1] 0.548409830 - 0.548409842 [1] [2] 1.789779848 - 1.789779824 [2] [3] -0.355700992 - -0.355698420 [3] [4] 0.414195831 - 0.414259525 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.044729213 - 0.044734175 [6] [7] 0.783276974 - 0.783276972 [7] [8] 0.039050319 - 0.039046109 [8] actual$parM1$Item3 | expected$parM1$Item3 [1] -2.3199631 - -2.3197733 [1] [2] 5.3421365 - 5.3415445 [2] [3] -25.4964528 - -25.4964281 [3] [4] 9.8076985 - 9.8081699 [4] [5] 0.0376932 - 0.0376918 [5] [6] 0.0437675 - 0.0437688 [6] [7] 0.3018453 - 0.3018493 [7] [8] 0.6981547 - 0.6981507 [8] actual$parM1$Item4 | expected$parM1$Item4 [1] -1.567209923 - -1.567209311 [1] [2] 1.903818995 - 1.903817654 [2] [3] 1.011419581 - 1.011419036 [3] [4] -0.062105562 - -0.062104333 [4] [5] 0.112839514 - 0.112839428 [5] [6] -0.112839514 - -0.112839428 [6] [7] 0.971993138 - 0.971993376 [7] [8] -0.036729069 - -0.036729310 [8] actual$parM1$Item5 | expected$parM1$Item5 [1] 5.12797 - 5.16284 [1] [2] 8.07602 - 8.10857 [2] [3] -4.10592 - -4.14541 [3] [4] -6.69324 - -6.72599 [4] [5] 0.26881 - 0.26828 [5] [6] -0.26881 - -0.26828 [6] [7] 0.82650 - 0.82589 [7] [8] -0.03161 - -0.03059 [8] actual$parM1$Item6 | expected$parM1$Item6 [1] 0.54915291 - 0.54915597 [1] [2] 1.16980187 - 1.16980434 [2] [3] 0.16302451 - 0.16302139 [3] [4] 0.11036885 - 0.11036628 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.91472809 - 0.91472732 [7] [8] 0.08527191 - 0.08527268 [8] actual$parM1$Item7 | expected$parM1$Item7 [1] -1.854092791 - -1.854092274 [1] [2] 1.162006157 - 1.162005916 [2] [3] 0.721442323 - 0.721441760 [3] [4] -0.169188334 - -0.169188006 [4] [5] 0.080101966 - 0.080101913 [5] [6] -0.080101966 - -0.080101913 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.4729980 - -1.4730029 [1] [2] 1.6516312 - 1.6518039 [2] [3] -0.8481872 - -0.8481823 [3] [4] -0.3600650 - -0.3602377 [4] [5] 0.0384072 - 0.0384135 [5] [6] -0.0384072 - -0.0384135 [6] [7] 0.5958526 - 0.5958153 [7] [8] 0.0759435 - 0.0759808 [8] actual$parM1$Item9 | expected$parM1$Item9 [1] 2.0691320 - 2.0691010 [1] [2] 1.8190875 - 1.8190633 [2] [3] -0.1501738 - -0.1501237 [3] [4] -0.2347559 - -0.2347183 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9215582 - 0.9215604 [7] [8] 0.0343620 - 0.0343582 [8] actual$parM1$Item10 | expected$parM1$Item10 [1] 0.46843 - 0.46672 [1] [2] 1.24360 - 1.24293 [2] [3] 0.33282 - 0.33068 [3] [4] 0.05890 - 0.05762 [4] [5] 0.00000 | 0.00000 [5] [6] 0.00000 | 0.00000 [6] [7] 0.98901 - 0.98955 [7] [8] 0.00956 - 0.01001 [8] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.128202655 - 0.128183950 [1] [2] 1.125003661 - 1.125023799 [2] [3] 3.463543589 - 3.463561224 [3] [4] 1.510459054 - 1.510437940 [4] [5] 0.330662387 - 0.330668718 [5] [6] -0.330662387 - -0.330668718 [6] [7] 1.000000000 | 1.000000000 [7] [8] -0.042567298 - -0.042567283 [8] actual$parM1$Item12 | expected$parM1$Item12 [1] -2.10404090 - -2.10403197 [1] [2] 1.10795313 - 1.10794801 [2] [3] 1.44523445 - 1.44522541 [3] [4] 0.23323923 - 0.23324493 [4] [5] 0.09841128 - 0.09841059 [5] [6] -0.00878039 - -0.00877965 [6] [7] 1.00000000 | 1.00000000 [7] [8] -0.30743501 - -0.30743511 [8] actual$parM1$Item13 | expected$parM1$Item13 [1] -0.92711855 - -0.92711599 [1] [2] 1.01643331 - 1.01643212 [2] [3] -1.38139064 - -1.38140303 [3] [4] 0.67161738 - 0.67162536 [4] [5] 0.05590652 - 0.05590597 [5] [6] 0.09865493 - 0.09865600 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] `actual$parM1$Item14`: -0.2 3.0 -1.8 -1.6 0.1 0.0 0.5 0.5 `expected$parM1$Item14`: NA NA NA NA NA NA NA NA actual$parM1$Item15 | expected$parM1$Item15 [1] 0.35938123 - 0.35938085 [1] [2] 0.92645356 - 0.92645250 [2] [3] -0.70337283 - -0.70337258 [3] [4] -0.29152945 - -0.29152742 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.670888292 - 0.670888296 [1] [2] 0.914399661 - 0.914399690 [2] [3] 0.919702014 - 0.919702008 [3] [4] 1.205226878 - 1.205226952 [4] [5] 0.162430339 - 0.162430342 [5] [6] 0.173488584 - 0.173488588 [6] [7] 0.587907036 - 0.587907052 [7] [8] 0.631979686 - 0.631979699 [8] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.552405130 - 0.552405157 [1] [2] 1.110828496 - 1.110828561 [2] [3] 0.725335883 - 0.725336841 [3] [4] 1.507641229 - 1.507657654 [4] [5] 0.214041286 - 0.214041298 [5] [6] 0.240956580 - 0.240954837 [6] [7] 0.116391208 - 0.116391215 [7] [8] 0.151066110 - 0.151064468 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 2.01441185 - 2.01422145 [1] [2] 4.55481384 - 4.55422652 [2] [3] 45.88628206 - 45.88470108 [3] [4] 27.17529638 - 27.17429000 [4] [5] 0.03196063 - 0.03196191 [5] [6] 0.03831176 - 0.03831283 [6] [7] 0.05301940 - 0.05302205 [7] [8] 0.15715096 - 0.15715189 [8] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.642819527 - 0.642819304 [1] [2] 0.961230077 - 0.961229614 [2] [3] 0.762108561 - 0.762108396 [3] [4] 1.213841240 - 1.213840174 [4] [5] 0.078494417 - 0.078494480 [5] [6] 0.125287868 - 0.125287890 [6] [7] 0.234655852 - 0.234656108 [7] [8] 0.271485350 - 0.271485545 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 2.831687 - 2.843232 [1] [2] 4.884886 - 4.881027 [2] [3] 2.919046 - 2.929939 [3] [4] 5.007261 - 5.003131 [4] [5] 0.088102 - 0.088051 [5] [6] 0.411614 - 0.410328 [6] [7] 0.041607 - 0.041566 [7] [8] 0.133356 - 0.133532 [8] actual$seM1$Item6 | expected$seM1$Item6 [1] 0.730603729 - 0.730602809 [1] [2] 1.135651677 - 1.135651553 [2] [3] 0.918260759 - 0.918260251 [3] [4] 1.413724919 - 1.413724857 [4] [5] 0.524381051 - 0.524379810 [5] [6] 0.645519595 - 0.645518695 [6] [7] 0.221429964 - 0.221428820 [7] [8] 0.269873098 - 0.269872183 [8] actual$seM1$Item7 | expected$seM1$Item7 [1] 1.026425261 - 1.026425305 [1] [2] 1.245751281 - 1.245751287 [2] [3] 1.238218189 - 1.238218222 [3] [4] 1.507201300 - 1.507201091 [4] [5] 0.131341609 - 0.131341674 [5] [6] 0.222342719 - 0.222342694 [6] [7] 1.070633782 - 1.070633996 [7] [8] 1.232382472 - 1.232382611 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.8085484 - 0.8085699 [1] [2] 1.1780994 - 1.1781691 [2] [3] 1.2789891 - 1.2790027 [3] [4] 1.6155253 - 1.6155762 [4] [5] 0.0737609 - 0.0737526 [5] [6] 0.0983961 - 0.0983899 [6] [7] 0.2400120 - 0.2399573 [7] [8] 0.6294437 - 0.6294228 [8] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.69061453 - 0.69060975 [1] [2] 1.15434519 - 1.15433921 [2] [3] 0.95084234 - 0.95084034 [3] [4] 1.52067646 - 1.52067364 [4] [5] 0.53704129 - 0.53704891 [5] [6] 0.75152247 - 0.75152470 [6] [7] 0.07119869 - 0.07119991 [7] [8] 0.10501630 - 0.10501641 [8] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.595041 - 0.594891 [1] [2] 0.970029 - 0.969557 [2] [3] 0.807290 - 0.807024 [3] [4] 1.276810 - 1.275855 [4] [5] 0.416901 - 0.416843 [5] [6] 0.562600 - 0.562674 [6] [7] 0.200888 - 0.201230 [7] [8] 0.246264 - 0.246819 [8] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.8419896 - 0.8419775 [1] [2] 1.3140020 - 1.3139954 [2] [3] 1.4691407 - 1.4691334 [3] [4] 1.8800335 - 1.8800289 [4] [5] 0.3588125 - 0.3587939 [5] [6] 0.5100984 - 0.5100855 [6] [7] 0.2566619 - 0.2566554 [7] [8] 0.2601705 - 0.2601641 [8] actual$seM1$Item12 | expected$seM1$Item12 [1] 1.46620429 - 1.46621145 [1] [2] 1.56125210 - 1.56125317 [2] [3] 1.67980272 - 1.67980895 [3] [4] 1.98082477 - 1.98082551 [4] [5] 0.13784175 - 0.13784310 [5] [6] 0.20204316 - 0.20204400 [6] [7] 1.72534306 - 1.72535389 [7] [8] 1.74329715 - 1.74330780 [8] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.848260328 - 0.848260525 [1] [2] 1.149874896 - 1.149875238 [2] [3] 1.255096894 - 1.255099472 [3] [4] 1.531206150 - 1.531207479 [4] [5] 0.253245757 - 0.253246679 [5] [6] 0.262327780 - 0.262328580 [6] [7] 0.730205217 - 0.730205972 [7] [8] 0.816108812 - 0.816108756 [8] `actual$seM1$Item14` is a double vector (0.893497285639257, 2.57282013402072, 1.23596907788061, 2.75778944839772, 0.0848166261652743, ...) `expected$seM1$Item14` is a logical vector (NA, NA, NA, NA, NA, ...) actual$seM1$Item15 | expected$seM1$Item15 [1] 0.95061735 - 0.95061909 [1] [2] 1.30016990 - 1.30017136 [2] [3] 1.54750906 - 1.54750791 [3] [4] 1.93544833 - 1.93544739 [4] [5] 0.81941644 - 0.81941848 [5] [6] 1.17045038 - 1.17044962 [6] [7] 0.40982958 - 0.40983069 [7] [8] 1.25697730 - 1.25697337 [8] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item1[1, ] 0.45009110 -0.04294095 -0.45009111 0.04294097 -0.04683519 0.04683519 -0.13218541 0.13218540 + expected$covM1$Item1[1, ] 0.45009111 -0.04294095 -0.45009110 0.04294095 -0.04683519 0.04683519 -0.13218541 0.13218541 - actual$covM1$Item1[2, ] -0.04294095 0.83612674 0.04294093 -0.83612674 0.13124319 -0.13124319 -0.48351911 0.48351911 + expected$covM1$Item1[2, ] -0.04294095 0.83612679 0.04294097 -0.83612682 0.13124320 -0.13124320 -0.48351914 0.48351914 - actual$covM1$Item1[3, ] -0.45009111 0.04294093 0.84585180 -0.38087451 0.04683519 -0.07680061 0.13218542 -0.11288995 + expected$covM1$Item1[3, ] -0.45009110 0.04294097 0.84585178 -0.38087457 0.04683519 -0.07680061 0.13218540 -0.11288993 - actual$covM1$Item1[4, ] 0.04294097 -0.83612674 -0.38087451 1.45257183 -0.13124319 0.16413812 0.48351911 -0.62169505 + expected$covM1$Item1[4, ] 0.04294095 -0.83612682 -0.38087457 1.45257200 -0.13124320 0.16413813 0.48351916 -0.62169511 - actual$covM1$Item1[5, ] -0.04683519 0.13124319 0.04683519 -0.13124319 0.02638361 -0.02638361 -0.06496814 0.06496814 + expected$covM1$Item1[5, ] -0.04683519 0.13124320 0.04683519 -0.13124320 0.02638362 -0.02638362 -0.06496814 0.06496814 - actual$covM1$Item1[6, ] 0.04683519 -0.13124319 -0.07680061 0.16413812 -0.02638361 0.03009829 0.06496814 -0.07041179 + expected$covM1$Item1[6, ] 0.04683519 -0.13124320 -0.07680061 0.16413813 -0.02638362 0.03009829 0.06496814 -0.07041180 - actual$covM1$Item1[7, ] -0.13218541 -0.48351911 0.13218542 0.48351911 -0.06496814 0.06496814 0.34563468 -0.34563468 + expected$covM1$Item1[7, ] -0.13218541 -0.48351914 0.13218540 0.48351916 -0.06496814 0.06496814 0.34563470 -0.34563470 - actual$covM1$Item1[8, ] 0.13218540 0.48351911 -0.11288995 -0.62169505 0.06496814 -0.07041179 -0.34563468 0.39939832 + expected$covM1$Item1[8, ] 0.13218541 0.48351914 -0.11288993 -0.62169511 0.06496814 -0.07041180 -0.34563470 0.39939834 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item2[1, ] 0.30515143 0.06054241 -0.30515146 -0.06054247 -0.04313702 0.04313702 -0.03341430 0.03341430 + expected$covM1$Item2[1, ] 0.30515146 0.06054246 -0.30515146 -0.06054249 -0.04313702 0.04313702 -0.03341430 0.03341431 - actual$covM1$Item2[2, ] 0.06054241 1.23393995 -0.06054241 -1.23394012 0.19807170 -0.19807171 -0.09865889 0.09865890 + expected$covM1$Item2[2, ] 0.06054246 1.23394009 -0.06054245 -1.23394020 0.19807172 -0.19807173 -0.09865891 0.09865891 - actual$covM1$Item2[3, ] -0.30515146 -0.06054241 0.52611214 0.09132583 0.04313703 -0.06515984 0.03341430 -0.05741240 + expected$covM1$Item2[3, ] -0.30515146 -0.06054245 0.52611353 0.09133095 0.04313702 -0.06515891 0.03341430 -0.05741208 - actual$covM1$Item2[4, ] -0.06054247 -1.23394012 0.09132583 2.27298208 -0.19807172 0.28027232 0.09865891 -0.16624410 + expected$covM1$Item2[4, ] -0.06054249 -1.23394020 0.09133095 2.27303160 -0.19807173 0.28027037 0.09865892 -0.16624311 - actual$covM1$Item2[5, ] -0.04313702 0.19807170 0.04313703 -0.19807172 0.04581367 -0.04581367 -0.01272400 0.01272400 + expected$covM1$Item2[5, ] -0.04313702 0.19807172 0.04313702 -0.19807173 0.04581368 -0.04581368 -0.01272400 0.01272400 - actual$covM1$Item2[6, ] 0.04313702 -0.19807171 -0.06515984 0.28027232 -0.04581367 0.05806007 0.01272400 -0.01668542 + expected$covM1$Item2[6, ] 0.04313702 -0.19807173 -0.06515891 0.28027037 -0.04581368 0.05805923 0.01272400 -0.01668506 - actual$covM1$Item2[7, ] -0.03341430 -0.09865889 0.03341430 0.09865891 -0.01272400 0.01272400 0.01354691 -0.01354691 + expected$covM1$Item2[7, ] -0.03341430 -0.09865891 0.03341430 0.09865892 -0.01272400 0.01272400 0.01354692 -0.01354692 - actual$covM1$Item2[8, ] 0.03341430 0.09865890 -0.05741240 -0.16624410 0.01272400 -0.01668542 -0.01354691 0.02282097 + expected$covM1$Item2[8, ] 0.03341431 0.09865891 -0.05741208 -0.16624311 0.01272400 -0.01668506 -0.01354692 0.02282047 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 4.05785509 -7.87861491 -4.057855e+00 7.878615e+00 -0.0363867486 0.0363867488 0.0185489041 -0.0185488934 + expected$covM1$Item3[1, ] 4.05708804 -7.87672878 -4.057092e+00 7.876731e+00 -0.0363876397 0.0363876397 0.0185481640 -0.0185481760 - actual$covM1$Item3[2, ] -7.87861491 20.74632916 7.878620e+00 -2.074633e+01 0.0631582061 -0.0631582065 -0.1118375547 0.1118375256 + expected$covM1$Item3[2, ] -7.87672878 20.74097921 7.876741e+00 -2.074099e+01 0.0631586701 -0.0631586701 -0.1118357009 0.1118357328 - actual$covM1$Item3[3, ] -4.05785466 7.87861964 2.105551e+03 -1.235778e+03 0.0363867371 -0.0728074475 -0.0185489796 4.2813044623 + expected$covM1$Item3[3, ] -4.05709191 7.87674094 2.105406e+03 -1.235692e+03 0.0363876680 -0.0728079551 -0.0185482465 4.2811523979 - actual$covM1$Item3[4, ] 7.87861453 -20.74633144 -1.235778e+03 7.384967e+02 -0.0631581986 0.0822778909 0.1118375950 -2.6177337294 + expected$covM1$Item3[4, ] 7.87673093 -20.74098592 -1.235692e+03 7.384420e+02 -0.0631586859 0.0822781447 0.1118357460 -2.6176435164 - actual$covM1$Item3[5, ] -0.03638675 0.06315821 3.638674e-02 -6.315820e-02 0.0010214817 -0.0010214817 -0.0002134556 0.0002134555 + expected$covM1$Item3[5, ] -0.03638764 0.06315867 3.638767e-02 -6.315869e-02 0.0010215636 -0.0010215636 -0.0002135192 0.0002135193 - actual$covM1$Item3[6, ] 0.03638675 -0.06315821 -7.280745e-02 8.227789e-02 -0.0010214817 0.0014677913 0.0002134556 -0.0002495478 + expected$covM1$Item3[6, ] 0.03638764 -0.06315867 -7.280796e-02 8.227814e-02 -0.0010215636 0.0014678733 0.0002135192 -0.0002496122 - actual$covM1$Item3[7, ] 0.01854890 -0.11183755 -1.854898e-02 1.118376e-01 -0.0002134556 0.0002134556 0.0028110571 -0.0028110569 + expected$covM1$Item3[7, ] 0.01854816 -0.11183570 -1.854825e-02 1.118357e-01 -0.0002135192 0.0002135192 0.0028113378 -0.0028113380 - actual$covM1$Item3[8, ] -0.01854889 0.11183753 4.281304e+00 -2.617734e+00 0.0002134555 -0.0002495478 -0.0028110569 0.0246964255 + expected$covM1$Item3[8, ] -0.01854818 0.11183573 4.281152e+00 -2.617644e+00 0.0002135193 -0.0002496122 -0.0028113380 0.0246967159 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item4[1, ] 0.413216944 -0.35539902 -0.413216941 0.35539899 -0.039550690 0.039550686 0.008273772 -0.008273776 + expected$covM1$Item4[1, ] 0.413216657 -0.35539845 -0.413216667 0.35539821 -0.039550703 0.039550689 0.008273723 -0.008273715 - actual$covM1$Item4[2, ] -0.355399016 0.92396326 0.355398995 -0.92396316 0.056609039 -0.056609025 -0.179534054 0.179534064 + expected$covM1$Item4[2, ] -0.355398450 0.92396237 0.355398486 -0.92396174 0.056609075 -0.056609036 -0.179534198 0.179534178 - actual$covM1$Item4[3, ] -0.413216941 0.35539900 0.580809459 -0.45634154 0.039550690 -0.066430525 -0.008273767 -0.004042090 + expected$covM1$Item4[3, ] -0.413216667 0.35539849 0.580809207 -0.45634078 0.039550705 -0.066430533 -0.008273730 -0.004042139 - actual$covM1$Item4[4, ] 0.355398986 -0.92396316 -0.456341540 1.47341056 -0.056609033 0.111534391 0.179534031 -0.255284750 + expected$covM1$Item4[4, ] 0.355398213 -0.92396174 -0.456340783 1.47340797 -0.056609036 0.111534329 0.179534074 -0.255284706 - actual$covM1$Item4[5, ] -0.039550690 0.05660904 0.039550690 -0.05660903 0.006161374 -0.006161373 -0.008446771 0.008446772 + expected$covM1$Item4[5, ] -0.039550703 0.05660907 0.039550705 -0.05660904 0.006161383 -0.006161381 -0.008446793 0.008446792 - actual$covM1$Item4[6, ] 0.039550686 -0.05660903 -0.066430525 0.11153439 -0.006161373 0.015697050 0.008446769 -0.014274250 + expected$covM1$Item4[6, ] 0.039550689 -0.05660904 -0.066430533 0.11153433 -0.006161381 0.015697055 0.008446786 -0.014274262 - actual$covM1$Item4[7, ] 0.008273772 -0.17953405 -0.008273767 0.17953403 -0.008446771 0.008446769 0.055063369 -0.055063371 + expected$covM1$Item4[7, ] 0.008273723 -0.17953420 -0.008273730 0.17953407 -0.008446793 0.008446786 0.055063489 -0.055063485 - actual$covM1$Item4[8, ] -0.008273776 0.17953406 -0.004042090 -0.25528475 0.008446772 -0.014274250 -0.055063371 0.073704295 + expected$covM1$Item4[8, ] -0.008273715 0.17953418 -0.004042139 -0.25528471 0.008446792 -0.014274262 -0.055063485 0.073704401 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 8.01845020 13.18869615 -8.01845002 -13.18869600 0.0937204300 -0.0937205098 -0.0419188887 0.0419189140 + expected$covM1$Item5[1, ] 8.08396658 13.22870342 -8.08396632 -13.22870373 0.0931436084 -0.0931438048 -0.0420419459 0.0420419882 - actual$covM1$Item5[2, ] 13.18869615 23.86210892 -13.18869583 -23.86210864 0.2265875446 -0.2265876888 -0.0527737456 0.0527737885 + expected$covM1$Item5[2, ] 13.22870342 23.82442586 -13.22870297 -23.82442642 0.2250768467 -0.2250771953 -0.0526480731 0.0526481476 - actual$covM1$Item5[3, ] -8.01845002 -13.18869583 8.52082983 13.23272526 -0.0937204269 -0.0104873976 0.0419188880 -0.0839862273 + expected$covM1$Item5[3, ] -8.08396632 -13.22870297 8.58454043 13.27214216 -0.0931436045 -0.0106856180 0.0420419447 -0.0840730119 - actual$covM1$Item5[4, ] -13.18869600 -23.86210864 13.23272526 25.07266650 -0.2265875421 0.6165787686 0.0527737449 -0.1660007115 + expected$covM1$Item5[4, ] -13.22870373 -23.82442642 13.27214216 25.03131616 -0.2250768519 0.6131749712 0.0526480743 -0.1658866730 - actual$covM1$Item5[5, ] 0.09372043 0.22658754 -0.09372043 -0.22658754 0.0077620424 -0.0077620438 -0.0002204438 0.0002204442 + expected$covM1$Item5[5, ] 0.09314361 0.22507685 -0.09314360 -0.22507685 0.0077529840 -0.0077529872 -0.0002142025 0.0002142032 - actual$covM1$Item5[6, ] -0.09372051 -0.22658769 -0.01048740 0.61657877 -0.0077620438 0.1694263572 0.0002204442 -0.0302539783 + expected$covM1$Item5[6, ] -0.09314380 -0.22507720 -0.01068562 0.61317497 -0.0077529872 0.1683692035 0.0002142033 -0.0301949874 - actual$covM1$Item5[7, ] -0.04191889 -0.05277375 0.04191889 0.05277374 -0.0002204438 0.0002204442 0.0017311666 -0.0017311668 + expected$covM1$Item5[7, ] -0.04204195 -0.05264807 0.04204194 0.05264807 -0.0002142025 0.0002142033 0.0017277220 -0.0017277222 - actual$covM1$Item5[8, ] 0.04191891 0.05277379 -0.08398623 -0.16600071 0.0002204442 -0.0302539783 -0.0017311668 0.0177839368 + expected$covM1$Item5[8, ] 0.04204199 0.05264815 -0.08407301 -0.16588667 0.0002142032 -0.0301949874 -0.0017277222 0.0178307405 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item6[1, ] 0.53378181 -0.2054028 -0.53378176 0.2054028 -0.22140459 0.22140457 -0.02306589 0.02306589 + expected$covM1$Item6[1, ] 0.53378046 -0.2054014 -0.53378054 0.2054014 -0.22140348 0.22140349 -0.02306605 0.02306606 - actual$covM1$Item6[2, ] -0.20540283 1.2897047 0.20540275 -1.2897048 0.54528570 -0.54528570 -0.22167027 0.22167026 + expected$covM1$Item6[2, ] -0.20540138 1.2897044 0.20540146 -1.2897046 0.54528421 -0.54528427 -0.22166897 0.22166897 - actual$covM1$Item6[3, ] -0.53378176 0.2054027 0.84320282 -0.2335129 0.22140454 -0.31653528 0.02306590 -0.05500887 + expected$covM1$Item6[3, ] -0.53378054 0.2054015 0.84320189 -0.2335118 0.22140353 -0.31653440 0.02306604 -0.05500902 - actual$covM1$Item6[4, ] 0.20540281 -1.2897048 -0.23351295 1.9986181 -0.54528573 0.82688962 0.22167029 -0.32976718 + expected$covM1$Item6[4, ] 0.20540139 -1.2897046 -0.23351182 1.9986180 -0.54528426 0.82688830 0.22166899 -0.32976591 - actual$covM1$Item6[5, ] -0.22140459 0.5452857 0.22140454 -0.5452857 0.27497549 -0.27497548 -0.08196554 0.08196554 + expected$covM1$Item6[5, ] -0.22140348 0.5452842 0.22140353 -0.5452843 0.27497419 -0.27497421 -0.08196483 0.08196482 - actual$covM1$Item6[6, ] 0.22140457 -0.5452857 -0.31653528 0.8268896 -0.27497548 0.41669555 0.08196554 -0.11775072 + expected$covM1$Item6[6, ] 0.22140349 -0.5452843 -0.31653440 0.8268883 -0.27497421 0.41669439 0.08196484 -0.11775003 - actual$covM1$Item6[7, ] -0.02306589 -0.2216703 0.02306590 0.2216703 -0.08196554 0.08196554 0.04903123 -0.04903123 + expected$covM1$Item6[7, ] -0.02306605 -0.2216690 0.02306604 0.2216690 -0.08196483 0.08196484 0.04903072 -0.04903072 - actual$covM1$Item6[8, ] 0.02306589 0.2216703 -0.05500887 -0.3297672 0.08196554 -0.11775072 -0.04903123 0.07283149 + expected$covM1$Item6[8, ] 0.02306606 0.2216690 -0.05500902 -0.3297659 0.08196482 -0.11775003 -0.04903072 0.07283100 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 1.05354882 0.05909227 -1.053548798 -0.059092240 -0.04146778 0.04146778 -0.49205793 0.49205791 + expected$covM1$Item7[1, ] 1.05354891 0.05909267 -1.053548924 -0.059092653 -0.04146776 0.04146777 -0.49205829 0.49205830 - actual$covM1$Item7[2, ] 0.05909227 1.55189626 -0.059091976 -1.551896322 0.14354982 -0.14354985 -1.20400362 1.20400357 + expected$covM1$Item7[2, ] 0.05909267 1.55189627 -0.059092592 -1.551896136 0.14354990 -0.14354988 -1.20400392 1.20400385 - actual$covM1$Item7[3, ] -1.05354880 -0.05909198 1.533184284 0.004085109 0.04146781 -0.09524016 0.49205771 -0.62935298 + expected$covM1$Item7[3, ] -1.05354892 -0.05909259 1.533184366 0.004085817 0.04146777 -0.09524010 0.49205824 -0.62935357 - actual$covM1$Item7[4, ] -0.05909224 -1.55189632 0.004085109 2.271655758 -0.14354983 0.27932836 1.20400366 -1.66658580 + expected$covM1$Item7[4, ] -0.05909265 -1.55189614 0.004085817 2.271655128 -0.14354989 0.27932830 1.20400381 -1.66658577 - actual$covM1$Item7[5, ] -0.04146778 0.14354982 0.041467807 -0.143549826 0.01725062 -0.01725062 -0.09547118 0.09547117 + expected$covM1$Item7[5, ] -0.04146776 0.14354990 0.041467771 -0.143549886 0.01725064 -0.01725063 -0.09547125 0.09547125 - actual$covM1$Item7[6, ] 0.04146778 -0.14354985 -0.095240161 0.279328361 -0.01725062 0.04943628 0.09547120 -0.17080806 + expected$covM1$Item7[6, ] 0.04146777 -0.14354988 -0.095240102 0.279328302 -0.01725063 0.04943627 0.09547124 -0.17080805 - actual$covM1$Item7[7, ] -0.49205793 -1.20400362 0.492057706 1.204003663 -0.09547118 0.09547120 1.14625669 -1.14625665 + expected$covM1$Item7[7, ] -0.49205829 -1.20400392 0.492058235 1.204003810 -0.09547125 0.09547124 1.14625715 -1.14625711 - actual$covM1$Item7[8, ] 0.49205791 1.20400357 -0.629352983 -1.666585801 0.09547117 -0.17080806 -1.14625665 1.51876656 + expected$covM1$Item7[8, ] 0.49205830 1.20400385 -0.629353572 -1.666585768 0.09547125 -0.17080805 -1.14625711 1.51876690 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 0.653750466 -0.44914188 -0.653750466 0.44914187 -0.044385362 0.044385362 -0.005721698 0.005721704 + expected$covM1$Item8[1, ] 0.653785288 -0.44925180 -0.653785274 0.44925181 -0.044383941 0.044383942 -0.005709095 0.005709083 - actual$covM1$Item8[2, ] -0.449141877 1.38791828 0.449141861 -1.38791822 0.068817708 -0.068817706 -0.234096416 0.234096390 + expected$covM1$Item8[2, ] -0.449251797 1.38808238 0.449251736 -1.38808240 0.068811560 -0.068811561 -0.234050353 0.234050386 - actual$covM1$Item8[3, ] -0.653750466 0.44914186 1.635813034 -0.89301017 0.044385361 -0.087216409 0.005721701 -0.055468322 + expected$covM1$Item8[3, ] -0.653785274 0.44925174 1.635847779 -0.89312006 0.044383938 -0.087214985 0.005709106 -0.055455691 - actual$covM1$Item8[4, ] 0.449141868 -1.38791822 -0.893010173 2.60992215 -0.068817706 0.126928002 0.234096406 -0.784572769 + expected$covM1$Item8[4, ] 0.449251805 -1.38808240 -0.893120064 2.61008653 -0.068811561 0.126921862 0.234050355 -0.784526835 - actual$covM1$Item8[5, ] -0.044385362 0.06881771 0.044385361 -0.06881771 0.005440665 -0.005440665 -0.009169083 0.009169082 + expected$covM1$Item8[5, ] -0.044383941 0.06881156 0.044383938 -0.06881156 0.005439443 -0.005439443 -0.009165181 0.009165183 - actual$covM1$Item8[6, ] 0.044385362 -0.06881771 -0.087216409 0.12692800 -0.005440665 0.009681794 0.009169083 -0.030680480 + expected$covM1$Item8[6, ] 0.044383942 -0.06881156 -0.087214985 0.12692186 -0.005439443 0.009680572 0.009165181 -0.030676583 - actual$covM1$Item8[7, ] -0.005721698 -0.23409642 0.005721701 0.23409641 -0.009169083 0.009169083 0.057605779 -0.057605774 + expected$covM1$Item8[7, ] -0.005709095 -0.23405035 0.005709106 0.23405035 -0.009165181 0.009165181 0.057579494 -0.057579500 - actual$covM1$Item8[8, ] 0.005721704 0.23409639 -0.055468322 -0.78457277 0.009169082 -0.030680480 -0.057605774 0.396199341 + expected$covM1$Item8[8, ] 0.005709083 0.23405039 -0.055455691 -0.78452683 0.009165183 -0.030676583 -0.057579500 0.396173090 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item9[1, ] 0.47694843 0.26391757 -0.47694847 -0.26391794 -0.04644033 0.04644015 -0.031384704 0.031384717 + expected$covM1$Item9[1, ] 0.47694182 0.26389351 -0.47694182 -0.26389335 -0.04644957 0.04644966 -0.031384335 0.031384331 - actual$covM1$Item9[2, ] 0.26391757 1.33251282 -0.26391740 -1.33251319 0.54226713 -0.54226737 -0.060190039 0.060190036 + expected$covM1$Item9[2, ] 0.26389351 1.33249900 -0.26389340 -1.33249892 0.54227319 -0.54227314 -0.060191115 0.060191116 - actual$covM1$Item9[3, ] -0.47694847 -0.26391740 0.90410116 0.46155828 0.04644043 -0.09546162 0.031384699 -0.062534372 + expected$covM1$Item9[3, ] -0.47694182 -0.26389340 0.90409736 0.46154531 0.04644961 -0.09546590 0.031384331 -0.062534184 - actual$covM1$Item9[4, ] -0.26391794 -1.33251319 0.46155828 2.31245689 -0.54226717 1.00042296 0.060190069 -0.119270450 + expected$covM1$Item9[4, ] -0.26389335 -1.33249892 0.46154531 2.31244832 -0.54227320 1.00042563 0.060191105 -0.119270731 - actual$covM1$Item9[5, ] -0.04644033 0.54226713 0.04644043 -0.54226717 0.28841335 -0.28841340 -0.019544279 0.019544273 + expected$covM1$Item9[5, ] -0.04644957 0.54227319 0.04644961 -0.54227320 0.28842154 -0.28842155 -0.019545103 0.019545105 - actual$covM1$Item9[6, ] 0.04644015 -0.54226737 -0.09546162 1.00042296 -0.28841340 0.56478602 0.019544296 -0.042082073 + expected$covM1$Item9[6, ] 0.04644966 -0.54227314 -0.09546590 1.00042563 -0.28842155 0.56478938 0.019545097 -0.042082266 - actual$covM1$Item9[7, ] -0.03138470 -0.06019004 0.03138470 0.06019007 -0.01954428 0.01954430 0.005069254 -0.005069255 + expected$covM1$Item9[7, ] -0.03138433 -0.06019112 0.03138433 0.06019111 -0.01954510 0.01954510 0.005069427 -0.005069427 - actual$covM1$Item9[8, ] 0.03138472 0.06019004 -0.06253437 -0.11927045 0.01954427 -0.04208207 -0.005069255 0.011028424 + expected$covM1$Item9[8, ] 0.03138433 0.06019112 -0.06253418 -0.11927073 0.01954510 -0.04208227 -0.005069427 0.011028447 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item10[1, ] 0.35407391 -0.1059987 -0.35407393 0.1059986 -0.13331065 0.13331063 -0.02622942 0.02622942 + expected$covM1$Item10[1, ] 0.35389496 -0.1060786 -0.35389488 0.1060786 -0.13329510 0.13329511 -0.02622100 0.02622099 - actual$covM1$Item10[2, ] -0.10599873 0.9409561 0.10599873 -0.9409561 0.36585078 -0.36585078 -0.16938830 0.16938837 + expected$covM1$Item10[2, ] -0.10607858 0.9400403 0.10607820 -0.9400404 0.36563983 -0.36563979 -0.16962426 0.16962427 - actual$covM1$Item10[3, ] -0.35407393 0.1059987 0.65171674 -0.1217540 0.13331066 -0.22307660 0.02622942 -0.05681743 + expected$covM1$Item10[3, ] -0.35389488 0.1060782 0.65128775 -0.1227036 0.13329494 -0.22336174 0.02622107 -0.05676038 - actual$covM1$Item10[4, ] 0.10599864 -0.9409561 -0.12175403 1.6302425 -0.36585075 0.64415833 0.16938831 -0.26727951 + expected$covM1$Item10[4, ] 0.10607865 -0.9400404 -0.12270358 1.6278054 -0.36563989 0.64382548 0.16962427 -0.26778007 - actual$covM1$Item10[5, ] -0.13331065 0.3658508 0.13331066 -0.3658507 0.17380660 -0.17380660 -0.05695872 0.05695874 + expected$covM1$Item10[5, ] -0.13329510 0.3656398 0.13329494 -0.3656399 0.17375774 -0.17375774 -0.05706582 0.05706583 - actual$covM1$Item10[6, ] 0.13331063 -0.3658508 -0.22307660 0.6441583 -0.17380660 0.31651869 0.05695872 -0.08981149 + expected$covM1$Item10[6, ] 0.13329511 -0.3656398 -0.22336174 0.6438255 -0.17375774 0.31660190 0.05706581 -0.09007437 - actual$covM1$Item10[7, ] -0.02622942 -0.1693883 0.02622942 0.1693883 -0.05695872 0.05695872 0.04035609 -0.04035610 + expected$covM1$Item10[7, ] -0.02622100 -0.1696243 0.02622107 0.1696243 -0.05706582 0.05706581 0.04049331 -0.04049331 - actual$covM1$Item10[8, ] 0.02622942 0.1693884 -0.05681743 -0.2672795 0.05695874 -0.08981149 -0.04035610 0.06064597 + expected$covM1$Item10[8, ] 0.02622099 0.1696243 -0.05676038 -0.2677801 0.05706583 -0.09007437 -0.04049331 0.06091960 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item11[1, ] 0.70894649 -0.2232497 -0.70894622 0.2232500 -0.16256796 0.16256799 -0.03869120 0.03869123 + expected$covM1$Item11[1, ] 0.70892610 -0.2232343 -0.70892610 0.2232347 -0.16255575 0.16255588 -0.03869272 0.03869273 - actual$covM1$Item11[2, ] -0.22324971 1.7266012 0.22324989 -1.7266010 0.43015169 -0.43015164 -0.30204230 0.30204228 + expected$covM1$Item11[2, ] -0.22323432 1.7265838 0.22323409 -1.7265840 0.43012574 -0.43012577 -0.30203207 0.30203208 - actual$covM1$Item11[3, ] -0.70894622 0.2232499 2.15837428 1.2173274 0.16256796 0.06080744 0.03869113 -0.07345647 + expected$covM1$Item11[3, ] -0.70892610 0.2232341 2.15835296 1.2173418 0.16255570 0.06081951 0.03869277 -0.07345808 - actual$covM1$Item11[4, ] 0.22324996 -1.7266010 1.21732741 3.5345261 -0.43015169 0.83177542 0.30204224 -0.33532597 + expected$covM1$Item11[4, ] 0.22323465 -1.7265840 1.21734176 3.5345086 -0.43012584 0.83174981 0.30203208 -0.33531585 - actual$covM1$Item11[5, ] -0.16256796 0.4301517 0.16256796 -0.4301517 0.12874640 -0.12874640 -0.06603188 0.06603187 + expected$covM1$Item11[5, ] -0.16255575 0.4301257 0.16255570 -0.4301258 0.12873303 -0.12873306 -0.06602612 0.06602612 - actual$covM1$Item11[6, ] 0.16256799 -0.4301516 0.06080744 0.8317754 -0.12874640 0.26020035 0.06603187 -0.07180132 + expected$covM1$Item11[6, ] 0.16255588 -0.4301258 0.06081951 0.8317498 -0.12873306 0.26018720 0.06602611 -0.07179558 - actual$covM1$Item11[7, ] -0.03869120 -0.3020423 0.03869113 0.3020422 -0.06603188 0.06603187 0.06587535 -0.06587535 + expected$covM1$Item11[7, ] -0.03869272 -0.3020321 0.03869277 0.3020321 -0.06602612 0.06602611 0.06587201 -0.06587201 - actual$covM1$Item11[8, ] 0.03869123 0.3020423 -0.07345647 -0.3353260 0.06603187 -0.07180132 -0.06587535 0.06768871 + expected$covM1$Item11[8, ] 0.03869273 0.3020321 -0.07345808 -0.3353158 0.06602612 -0.07179558 -0.06587201 0.06768537 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item12[1, ] 2.1497550 0.6371250 -2.14975503 -0.6371251 -0.01406080 0.01406080 -1.5846105 1.5846106 + expected$covM1$Item12[1, ] 2.1497760 0.6371468 -2.14977598 -0.6371468 -0.01405930 0.01405930 -1.5846421 1.5846421 - actual$covM1$Item12[2, ] 0.6371250 2.4375081 -0.63712508 -2.4375083 0.19101737 -0.19101739 -2.4657665 2.4657665 + expected$covM1$Item12[2, ] 0.6371468 2.4375115 -0.63714669 -2.4375114 0.19101958 -0.19101958 -2.4657851 2.4657851 - actual$covM1$Item12[3, ] -2.1497550 -0.6371251 2.82173718 0.3515808 0.01406080 -0.09040154 1.5846106 -1.6264849 + expected$covM1$Item12[3, ] -2.1497760 -0.6371467 2.82175811 0.3516020 0.01405931 -0.09040003 1.5846420 -1.6265163 - actual$covM1$Item12[4, ] -0.6371251 -2.4375083 0.35158083 3.9236668 -0.19101739 0.34241029 2.4657667 -2.7187566 + expected$covM1$Item12[4, ] -0.6371468 -2.4375114 0.35160203 3.9236697 -0.19101957 0.34241234 2.4657851 -2.7187746 - actual$covM1$Item12[5, ] -0.0140608 0.1910174 0.01406080 -0.1910174 0.01900035 -0.01900035 -0.1682629 0.1682629 + expected$covM1$Item12[5, ] -0.0140593 0.1910196 0.01405931 -0.1910196 0.01900072 -0.01900072 -0.1682660 0.1682660 - actual$covM1$Item12[6, ] 0.0140608 -0.1910174 -0.09040154 0.3424103 -0.01900035 0.04082144 0.1682629 -0.1893784 + expected$covM1$Item12[6, ] 0.0140593 -0.1910196 -0.09040003 0.3424123 -0.01900072 0.04082178 0.1682660 -0.1893814 - actual$covM1$Item12[7, ] -1.5846105 -2.4657665 1.58461056 2.4657667 -0.16826291 0.16826293 2.9768087 -2.9768087 + expected$covM1$Item12[7, ] -1.5846421 -2.4657851 1.58464198 2.4657851 -0.16826601 0.16826601 2.9768460 -2.9768460 - actual$covM1$Item12[8, ] 1.5846106 2.4657665 -1.62648493 -2.7187566 0.16826292 -0.18937836 -2.9768087 3.0390850 + expected$covM1$Item12[8, ] 1.5846421 2.4657851 -1.62651627 -2.7187746 0.16826600 -0.18938140 -2.9768460 3.0391221 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item13[1, ] 0.71954558 0.03048035 -0.71954557 -0.03048035 -0.06848619 0.06848619 -0.2438941 0.2438941 + expected$covM1$Item13[1, ] 0.71954592 0.03048081 -0.71954594 -0.03048081 -0.06848630 0.06848630 -0.2438945 0.2438945 - actual$covM1$Item13[2, ] 0.03048035 1.32221228 -0.03048044 -1.32221226 0.26451819 -0.26451819 -0.7703040 0.7703040 + expected$covM1$Item13[2, ] 0.03048081 1.32221306 -0.03048086 -1.32221304 0.26451931 -0.26451931 -0.7703051 0.7703051 - actual$covM1$Item13[3, ] -0.71954557 -0.03048044 1.57526821 -0.60788723 0.06848617 -0.11809758 0.2438942 -0.1999263 + expected$covM1$Item13[3, ] -0.71954594 -0.03048086 1.57527468 -0.60789320 0.06848630 -0.11809763 0.2438945 -0.1999257 - actual$covM1$Item13[4, ] -0.03048035 -1.32221226 -0.60788723 2.34459227 -0.26451819 0.31391654 0.7703040 -1.0549128 + expected$covM1$Item13[4, ] -0.03048081 -1.32221304 -0.60789320 2.34459634 -0.26451930 0.31391737 0.7703051 -1.0549127 - actual$covM1$Item13[5, ] -0.06848619 0.26451819 0.06848617 -0.26451819 0.06413341 -0.06413341 -0.1353449 0.1353449 + expected$covM1$Item13[5, ] -0.06848630 0.26451931 0.06848630 -0.26451930 0.06413388 -0.06413388 -0.1353456 0.1353456 - actual$covM1$Item13[6, ] 0.06848619 -0.26451819 -0.11809758 0.31391654 -0.06413341 0.06881586 0.1353449 -0.1456388 + expected$covM1$Item13[6, ] 0.06848630 -0.26451931 -0.11809763 0.31391737 -0.06413388 0.06881628 0.1353456 -0.1456393 - actual$covM1$Item13[7, ] -0.24389411 -0.77030397 0.24389416 0.77030396 -0.13534491 0.13534490 0.5331997 -0.5331997 + expected$covM1$Item13[7, ] -0.24389447 -0.77030513 0.24389451 0.77030512 -0.13534563 0.13534563 0.5332008 -0.5332008 - actual$covM1$Item13[8, ] 0.24389410 0.77030398 -0.19992625 -1.05491283 0.13534491 -0.14563877 -0.5331997 0.6660336 + expected$covM1$Item13[8, ] 0.24389448 0.77030513 -0.19992570 -1.05491273 0.13534563 -0.14563935 -0.5332008 0.6660335 `actual$covM1$Item14` is a double vector (0.79833739944472, -0.238879438872429, -0.798337370276669, 0.238879404180451, -0.0415945708609621, ...) `expected$covM1$Item14` is a logical vector (NA, NA, NA, NA, NA, ...) actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 0.90367334 -0.4642925 -0.90367337 0.4642926 -0.5014526 0.5014526 0.01903688 -0.01903694 + expected$covM1$Item15[1, ] 0.90367665 -0.4642947 -0.90367666 0.4642949 -0.5014550 0.5014551 0.01903736 -0.01903752 - actual$covM1$Item15[2, ] -0.46429249 1.6904418 0.46429251 -1.6904419 1.0024265 -1.0024267 -0.49311324 0.49311337 + expected$covM1$Item15[2, ] -0.46429469 1.6904456 0.46429454 -1.6904460 1.0024303 -1.0024305 -0.49311521 0.49311556 - actual$covM1$Item15[3, ] -0.90367337 0.4642925 2.39478429 -0.5450774 0.5014526 -0.8092926 -0.01903688 -0.33843668 + expected$covM1$Item15[3, ] -0.90367666 0.4642945 2.39478074 -0.5450802 0.5014549 -0.8092939 -0.01903731 -0.33843376 - actual$covM1$Item15[4, ] 0.46429258 -1.6904419 -0.54507745 3.7459603 -1.0024267 2.1520637 0.49311328 -2.11300862 + expected$covM1$Item15[4, ] 0.46429490 -1.6904460 -0.54508018 3.7459566 -1.0024306 2.1520610 0.49311532 -2.11300122 - actual$covM1$Item15[5, ] -0.50145257 1.0024265 0.50145259 -1.0024267 0.6714433 -0.6714434 -0.26496108 0.26496117 + expected$covM1$Item15[5, ] -0.50145502 1.0024303 0.50145494 -1.0024306 0.6714466 -0.6714468 -0.26496257 0.26496280 - actual$covM1$Item15[6, ] 0.50145262 -1.0024267 -0.80929257 2.1520637 -0.6714434 1.3699541 0.26496111 -1.10671886 + expected$covM1$Item15[6, ] 0.50145513 -1.0024305 -0.80929394 2.1520610 -0.6714468 1.3699523 0.26496262 -1.10671372 - actual$covM1$Item15[7, ] 0.01903688 -0.4931132 -0.01903688 0.4931133 -0.2649611 0.2649611 0.16796029 -0.16796032 + expected$covM1$Item15[7, ] 0.01903736 -0.4931152 -0.01903731 0.4931153 -0.2649626 0.2649626 0.16796119 -0.16796128 - actual$covM1$Item15[8, ] -0.01903694 0.4931134 -0.33843668 -2.1130086 0.2649612 -1.1067189 -0.16796032 1.57999194 + expected$covM1$Item15[8, ] -0.01903752 0.4931156 -0.33843376 -2.1130012 0.2649628 -1.1067137 -0.16796128 1.57998205 actual$llM1 | expected$llM1 [1] -196.679581961 | -196.679581961 [1] [2] -243.274684142 - -243.274684138 [2] [3] -79.930016275 - -79.930016278 [3] [4] -211.234195622 | -211.234195622 [4] [5] -249.170904416 - -249.170557845 [5] [6] -246.655698470 | -246.655698470 [6] [7] -217.559317418 | -217.559317418 [7] [8] -115.890000377 | -115.890000377 [8] [9] -198.330606464 - -198.330606466 [9] [10] -236.015424935 - -236.015468347 [10] ... ... ... and 5 more ... actual$pval | expected$pval [1] 0.718569771 | 0.718569771 [1] [2] 0.939832658 - 0.939832657 [2] [3] 0.001443383 | 0.001443383 [3] [4] 0.304080752 | 0.304080752 [4] [5] 0.010535248 - 0.010532079 [5] [6] 0.423685647 | 0.423685647 [6] [7] 0.812782805 | 0.812782805 [7] [8] 0.027602919 | 0.027602919 [8] [9] 0.961976792 - 0.961976793 [9] [10] 0.647247579 - 0.647263148 [10] ... ... ... and 5 more ... actual$adj.pval | expected$adj.pval [1] 0.718569771 | 0.718569771 [1] [2] 0.939832658 - 0.939832657 [2] [3] 0.001443383 | 0.001443383 [3] [4] 0.304080752 | 0.304080752 [4] [5] 0.010535248 - 0.010532079 [5] [6] 0.423685647 | 0.423685647 [6] [7] 0.812782805 | 0.812782805 [7] [8] 0.027602919 | 0.027602919 [8] [9] 0.961976792 - 0.961976793 [9] [10] 0.647247579 - 0.647263148 [10] ... ... ... and 5 more ... `actual$conv.fail`: 0 `expected$conv.fail`: 1 `actual$conv.fail.which`: `expected$conv.fail.which`: 14 ── Failure ('test-difNLR.R:630:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:631:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12b, item = c(1, 14))` to throw a warning. ── Failure ('test-difNLR.R:632:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12b, plot.type = "stat")` to throw a warning. ── Failure ('test-difNLR.R:635:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fitted(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:636:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fitted(fit12b, item = paste0("Item", c(2, 14)))` to throw a warning. ── Failure ('test-difNLR.R:638:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `predict(fit12b, item = 14, match = c(0, 1), group = 0)` to throw a error. ── Failure ('test-difNLR.R:639:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `predict(...)` to throw a warning. ── Failure ('test-difNLR.R:641:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `logLik(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:642:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `logLik(fit12b, item = paste0("Item", c(2, 14)))` to throw a warning. ── Failure ('test-difNLR.R:644:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:645:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = paste0("Item", c(15, 14)))` to throw a warning. ── Failure ('test-difNLR.R:647:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:648:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = paste0("Item", c(4, 6, 10, 14)))` to throw a warning. ── Failure ('test-difNLR.R:650:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `residuals(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:651:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `residuals(fit12b, item = paste0("Item", c(10, 14)))` to throw a warning. ── Failure ('test-difNLR.R:654:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:659:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12c, plot.type = "stat")` to throw a warning. ── Failure ('test-difNLR.R:661:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:666:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12d, plot.type = "stat")` to throw a warning. ── Failure ('test-difORD.R:14:3'): difORD - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:49:3'): difORD - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:55:3'): difORD - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: actual$parM1$R28 | expected$parM1$R28 [1] 0.412218785 - 0.412218766 [1] [2] -0.482838864 - -0.482838851 [2] [3] -3.206750000 - -3.206749935 [3] [4] -6.095092281 - -6.095092076 [4] [5] 1.949128977 - 1.949128942 [5] [6] 0.220172658 - 0.220172657 [6] [7] -0.108002478 - -0.108002479 [7] ── Failure ('test-difORD.R:61:3'): difORD - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] ── Failure ('test-difORD.R:67:3'): difORD - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: actual$parM1$R5 | expected$parM1$R5 [1] -1.893765319 - -1.893765389 [1] [2] -1.392489884 - -1.392490077 [2] [3] -4.199838848 - -4.199839090 [3] [4] -4.752433837 - -4.752434170 [4] [5] 1.577181608 - 1.577181728 [5] [6] 0.126040241 - 0.126040306 [6] [7] -0.147234071 - -0.147234119 [7] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095215 - -2.859095114 [1] [2] -4.474701323 - -4.474701157 [2] [3] -6.617934018 - -6.617933791 [3] [4] -7.683710538 - -7.683710147 [4] [5] 1.973534320 - 1.973534245 [5] [6] 0.391732910 - 0.391732843 [6] [7] -0.103073650 - -0.103073618 [7] ── Failure ('test-difORD.R:73:3'): difORD - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: actual$ordPAR$R28 | expected$ordPAR$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] actual$parM0$R20 | expected$parM0$R20 [1] -5.683252711 - -5.683253024 [1] [2] -6.437898816 - -6.437899279 [2] [3] -8.982539929 - -8.982540492 [3] [4] -10.651801297 - -10.651801994 [4] [5] 0.091752686 - 0.091752692 [5] actual$parM0$R28 | expected$parM0$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] ── Failure ('test-estimNLR.R:27:3'): estimNLR - examples at help page ────────── Expected `fit_nls` to equal `fit_nls_expected`. Differences: environment(actual$m$resid)$QR$qr vs environment(expected$m$resid)$QR$qr [,1] [,2] [,3] [,4] [,5] - environment(actual$m$resid)$QR$qr[1, ] 5.963120661 0.852642643 -13.527931249 3.177205947 1.7583828032 + environment(expected$m$resid)$QR$qr[1, ] 5.963261226 0.852560464 -13.527556506 3.177313389 1.7583516255 - environment(actual$m$resid)$QR$qr[2, ] -0.029687716 8.648112225 -21.144404001 0.899205358 3.8468824021 + environment(expected$m$resid)$QR$qr[2, ] -0.029687977 8.648110747 -21.144447110 0.899232349 3.8468635002 - environment(actual$m$resid)$QR$qr[3, ] -0.028436188 0.016244083 -7.267865949 0.953687516 0.1653027588 + environment(expected$m$resid)$QR$qr[3, ] -0.028435985 0.016243760 -7.267532821 0.953686407 0.1653872982 - environment(actual$m$resid)$QR$qr[4, ] 0.030301791 0.008537437 0.036798702 2.670830880 0.4799710535 + environment(expected$m$resid)$QR$qr[4, ] 0.030302593 0.008538069 0.036797385 2.670897273 0.4798861365 - environment(actual$m$resid)$QR$qr[5, ] -0.028448373 0.023909891 0.016097513 0.021135142 -4.0766938069 + environment(expected$m$resid)$QR$qr[5, ] -0.028448307 0.023909519 0.016097352 0.021135607 -4.0766899133 - environment(actual$m$resid)$QR$qr[6, ] 0.029223825 0.015616436 0.006908037 -0.042582070 0.0244168656 + environment(expected$m$resid)$QR$qr[6, ] 0.029223489 0.015617142 0.006907559 -0.042581943 0.0244181648 - environment(actual$m$resid)$QR$qr[7, ] 0.007239807 0.025996907 -0.014138455 0.004974952 -0.0281132693 + environment(expected$m$resid)$QR$qr[7, ] 0.007238958 0.025996739 -0.014137714 0.004973591 -0.0281138382 - environment(actual$m$resid)$QR$qr[8, ] 0.018242250 0.024167186 -0.016928780 -0.022879455 0.0289711621 + environment(expected$m$resid)$QR$qr[8, ] 0.018241477 0.024167696 -0.016929652 -0.022878721 0.0289712647 - environment(actual$m$resid)$QR$qr[9, ] -0.028448373 0.023909891 0.016097513 0.021135142 0.0128984388 + environment(expected$m$resid)$QR$qr[9, ] -0.028448307 0.023909519 0.016097352 0.021135607 0.0128981480 - environment(actual$m$resid)$QR$qr[10, ] -0.029687716 0.023424644 0.021184209 -0.045425542 -0.0378482111 + environment(expected$m$resid)$QR$qr[10, ] -0.029687977 0.023424170 0.021185597 -0.045425625 -0.0378467920 and 1990 more ... environment(actual$m$resid)$QR$qraux vs environment(expected$m$resid)$QR$qraux - 1.017945042 + 1.017944242 - 1.023424644 + 1.023424170 - 1.024304474 + 1.024304511 - 1.014607926 + 1.014608993 - 1.012898439 + 1.012898148 `environment(actual$m$resid)$env$a`: 1.1211192 `environment(expected$m$resid)$env$a`: 1.1211100 `environment(actual$m$resid)$env$aDif`: -0.064508 `environment(expected$m$resid)$env$aDif`: -0.064526 `environment(actual$m$resid)$env$b`: -0.303651 `environment(expected$m$resid)$env$b`: -0.303670 `environment(actual$m$resid)$env$bDif`: 0.9496967 `environment(expected$m$resid)$env$bDif`: 0.9496952 `environment(actual$m$resid)$env$c`: 0.1105615 `environment(expected$m$resid)$env$c`: 0.1105529 environment(actual$m$resid)$internalPars vs environment(expected$m$resid)$internalPars - 1.1211192 + 1.1211100 - -0.3036505 + -0.3036699 - 0.1105615 + 0.1105529 - -0.0645084 + -0.0645258 - 0.9496967 + 0.9496952 attr(environment(actual$m$resid)$resid, 'gradient') vs attr(environment(expected$m$resid)$resid, 'gradient') [,1] [,2] [,3] [,4] [,5] - attr(environment(actual$m$resid)$resid, 'gradient')[1, ] -0.10700845 -0.21818103 0.63356912 -0.10700846 -0.21818104 + attr(environment(expected$m$resid)$resid, 'gradient')[1, ] -0.10700620 -0.21817975 0.63356084 -0.10700627 -0.21817974 - attr(environment(actual$m$resid)$resid, 'gradient')[2, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$resid, 'gradient')[2, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 - attr(environment(actual$m$resid)$resid, 'gradient')[3, ] 0.16956842 -0.11056730 0.12701408 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[3, ] 0.16957121 -0.11056701 0.12701335 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[4, ] -0.18069324 -0.10570857 0.87083552 -0.18069322 -0.10570857 + attr(environment(expected$m$resid)$resid, 'gradient')[4, ] -0.18070228 -0.10571242 0.87082766 -0.18070227 -0.10571242 - attr(environment(actual$m$resid)$resid, 'gradient')[5, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[5, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[6, ] -0.17426520 -0.16579459 0.78936882 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[6, ] -0.17426730 -0.16579795 0.78936344 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[7, ] -0.04317184 -0.23244006 0.55165442 -0.04317192 -0.23244006 + attr(environment(expected$m$resid)$resid, 'gradient')[7, ] -0.04316780 -0.23243709 0.55164768 -0.04316789 -0.23243709 - attr(environment(actual$m$resid)$resid, 'gradient')[8, ] -0.10878074 -0.22819040 0.64546899 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[8, ] -0.10877869 -0.22819249 0.64546285 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[9, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[9, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[10, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$resid, 'gradient')[10, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 and 1990 more ... environment(actual$m$resid)$resid vs environment(expected$m$resid)$resid - -0.43647923 + -0.43648118 - 0.21334032 + 0.21334351 - 0.11297119 + 0.11297170 - -0.22544538 + -0.22544492 - 0.20498593 + 0.20498604 - -0.29790500 + -0.29790303 - 0.49066267 + 0.49066141 - 0.57410495 + 0.57410507 - 0.20498593 + 0.20498604 - 0.21334032 + 0.21334351 and 1990 more ... attr(environment(actual$m$resid)$rhs, 'gradient') vs attr(environment(expected$m$resid)$rhs, 'gradient') [,1] [,2] [,3] [,4] [,5] - attr(environment(actual$m$resid)$rhs, 'gradient')[1, ] -0.10700845 -0.21818103 0.63356912 -0.10700846 -0.21818104 + attr(environment(expected$m$resid)$rhs, 'gradient')[1, ] -0.10700620 -0.21817975 0.63356084 -0.10700627 -0.21817974 - attr(environment(actual$m$resid)$rhs, 'gradient')[2, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$rhs, 'gradient')[2, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 - attr(environment(actual$m$resid)$rhs, 'gradient')[3, ] 0.16956842 -0.11056730 0.12701408 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[3, ] 0.16957121 -0.11056701 0.12701335 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[4, ] -0.18069324 -0.10570857 0.87083552 -0.18069322 -0.10570857 + attr(environment(expected$m$resid)$rhs, 'gradient')[4, ] -0.18070228 -0.10571242 0.87082766 -0.18070227 -0.10571242 - attr(environment(actual$m$resid)$rhs, 'gradient')[5, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[5, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[6, ] -0.17426520 -0.16579459 0.78936882 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[6, ] -0.17426730 -0.16579795 0.78936344 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[7, ] -0.04317184 -0.23244006 0.55165442 -0.04317192 -0.23244006 + attr(environment(expected$m$resid)$rhs, 'gradient')[7, ] -0.04316780 -0.23243709 0.55164768 -0.04316789 -0.23243709 - attr(environment(actual$m$resid)$rhs, 'gradient')[8, ] -0.10878074 -0.22819040 0.64546899 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[8, ] -0.10877869 -0.22819249 0.64546285 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[9, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[9, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[10, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$rhs, 'gradient')[10, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 and 1990 more ... environment(actual$m$resid)$rhs vs environment(expected$m$resid)$rhs - 0.43647923 + 0.43648118 - 0.78665968 + 0.78665649 - 0.88702881 + 0.88702830 - 0.22544538 + 0.22544492 - 0.79501407 + 0.79501396 - 0.29790500 + 0.29790303 - 0.50933733 + 0.50933859 - 0.42589505 + 0.42589493 - 0.79501407 + 0.79501396 - 0.78665968 + 0.78665649 and 1990 more ... `actual$convInfo$finIter`: 9 `expected$convInfo$finIter`: 8 `actual$convInfo$nEval`: 10 10 `expected$convInfo$nEval`: 11 9 ── Failure ('test-estimNLR.R:96:3'): estimNLR - examples at help page ────────── Expected `fit_irls` to equal `fit_irls_expected`. Differences: environment(actual$family$variance)$okLinks[3:6] vs environment(expected$family$variance)$okLinks[3:5] "cloglog" "cauchit" "log" - "identity" [ FAIL 48 | WARN 1 | SKIP 16 | PASS 294 ] Deleting unused snapshots: 'difNLR/plot-fit1-gen.svg', 'difNLR/plot-fit2-gen.svg', and 'difNLR/plot-stat-gen.svg' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.5.1-4
Check: tests
Result: ERROR Running ‘testthat.R’ [451s/563s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(difNLR) > > test_check("difNLR") Saving _problems/test-difNLR-14.R Saving _problems/test-difNLR-27.R Saving _problems/test-difNLR-30.R Saving _problems/test-difNLR-33.R Saving _problems/test-difNLR-67.R Saving _problems/test-difNLR-74.R Saving _problems/test-difNLR-82.R Saving _problems/test-difNLR-90.R Saving _problems/test-difNLR-98.R Saving _problems/test-difNLR-105.R Saving _problems/test-difNLR-112.R Saving _problems/test-difNLR-118.R Saving _problems/test-difNLR-125.R Saving _problems/test-difNLR-134.R Saving _problems/test-difNLR-142.R Saving _problems/test-difNLR-377.R Saving _problems/test-difNLR-512.R Saving _problems/test-difNLR-512.R Saving _problems/test-difNLR-517.R $Item6H_6 Saving _problems/test-difNLR-624.R Saving _problems/test-difNLR-627.R Saving _problems/test-difNLR-630.R Saving _problems/test-difNLR-631.R Saving _problems/test-difNLR-632.R Saving _problems/test-difNLR-635.R Saving _problems/test-difNLR-636.R Saving _problems/test-difNLR-638.R Saving _problems/test-difNLR-639.R Saving _problems/test-difNLR-641.R Saving _problems/test-difNLR-642.R Saving _problems/test-difNLR-644.R Saving _problems/test-difNLR-645.R Saving _problems/test-difNLR-647.R Saving _problems/test-difNLR-648.R Saving _problems/test-difNLR-650.R Saving _problems/test-difNLR-651.R Saving _problems/test-difNLR-657.R Saving _problems/test-difNLR-659.R Saving _problems/test-difNLR-664.R Saving _problems/test-difNLR-666.R $Item5 $Item5 $Item5 $Item5 Saving _problems/test-difORD-14.R Saving _problems/test-difORD-49.R Saving _problems/test-difORD-55.R Saving _problems/test-difORD-61.R Saving _problems/test-difORD-67.R Saving _problems/test-difORD-73.R Saving _problems/test-estimNLR-27.R Saving _problems/test-estimNLR-96.R [ FAIL 48 | WARN 1 | SKIP 16 | PASS 294 ] ══ Skipped tests (16) ══════════════════════════════════════════════════════════ • On CRAN (16): 'test-ddfMLR.R:1:1', 'test-ddfMLR.R:178:1', 'test-ddfMLR.R:209:1', 'test-difNLR.R:1:1', 'test-difNLR.R:306:1', 'test-difNLR.R:323:1', 'test-difNLR.R:534:1', 'test-difNLR.R:577:1', 'test-difORD.R:1:1', 'test-difORD.R:198:1', 'test-difORD.R:238:1', 'test-estimNLR.R:1:1', 'test-genNLR.R:1:1', 'test-genNLR.R:97:1', 'test-startNLR.R:1:1', 'test-startNLR.R:59:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-difNLR.R:14:3'): difNLR - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$nlrPAR[[19]]`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020992 0.16690432 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$nlrSE[[19]]`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020992 0.16690432 0.11558346 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226378 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576915 0.82846614 0.07274197 0.11401518 0.20008979 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951090 0.22840255 0.16653679 0.17824102 0.18525771 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389652 - 0.317389648 [1] [2] 0.180970627 - 0.180970873 [2] [3] 0.126195456 - 0.126195564 [3] [4] 0.161661699 - 0.161661852 [4] [5] 0.088776085 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267653 -0.04957514 -0.009803337 0.005316360 -0.058633985 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575139 0.05216772 -0.013482942 -0.025705004 0.035057791 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803337 -0.01348294 0.027734503 0.018707553 -0.003097784 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316360 -0.02570500 0.018707553 0.031769863 -0.009151661 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633985 0.03505779 -0.003097784 -0.009151661 0.034320418 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736191 -0.045897301 -0.0097905630 -0.003091693 -0.0270592881 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897301 0.032750368 0.0029241532 -0.009602347 0.0127859117 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790563 0.002924153 0.0159252931 -0.003765778 0.0005707833 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091693 -0.009602347 -0.0037657784 0.026134505 0.0014824507 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059288 0.012785912 0.0005707833 0.001482451 0.0078811934 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 ── Failure ('test-difNLR.R:27:3'): difNLR - examples at help page ────────────── Expected `coef(fit1)` to equal `fit1_coef1_expected`. Differences: actual$Item1 vs expected$Item1 [,1] [,2] [,3] [,4] [,5] - actual$Item1[1, ] 1.1211115 -0.30366673 -0.06452303 0.9496955 0.11055433 + expected$Item1[1, ] 1.1211096 -0.30367079 -0.06452658 0.9496952 0.11055254 - actual$Item1[2, ] 0.8275635 -0.64093641 -0.39938649 0.7318107 -0.01922413 + expected$Item1[2, ] 0.8275618 -0.64094274 -0.39938806 0.7318103 -0.01922709 - actual$Item1[3, ] 1.4146595 0.03360294 0.27034043 1.1675803 0.24033280 + expected$Item1[3, ] 1.4146573 0.03360115 0.27033489 1.1675800 0.24033216 actual$Item2 vs expected$Item2 [,1] [,2] [,3] [,4] [,5] - actual$Item2[1, ] 0.7152887 -0.4752518 0.5270872 0.5030715 0.07629900 + expected$Item2[1, ] 0.7152842 -0.4752771 0.5270724 0.5030783 0.07629099 - actual$Item2[2, ] 0.5104054 -1.0568661 0.1738859 0.1923783 -0.08944687 + expected$Item2[2, ] 0.5104020 -1.0569059 0.1738772 0.1923828 -0.08946022 - actual$Item2[3, ] 0.9201720 0.1063626 0.8802885 0.8137647 0.24204487 + expected$Item2[3, ] 0.9201664 0.1063518 0.8802676 0.8137739 0.24204220 actual$Item3 vs expected$Item3 [,1] [,2] [,3] - actual$Item3[1, ] 0.6742923 -1.5047526 0.0000000 + expected$Item3[1, ] 0.6742919 -1.5047528 0.0000000 - actual$Item3[2, ] 0.3510788 -3.8836030 -0.8092907 + expected$Item3[2, ] 0.3510784 -3.8836065 -0.8092914 - actual$Item3[3, ] 0.9975057 0.8740977 0.8092907 + expected$Item3[3, ] 0.9975053 0.8741010 0.8092914 actual$Item12 vs expected$Item12 [,1] [,2] [,3] - actual$Item12[1, ] 0.8977815 0.3821502 0.20920247 + expected$Item12[1, ] 0.8977892 0.3821652 0.20920692 - actual$Item12[2, ] 0.5562310 -0.1638465 0.04190755 + expected$Item12[2, ] 0.5562369 -0.1638188 0.04191572 - actual$Item12[3, ] 1.2393320 0.9281469 0.37649740 + expected$Item12[3, ] 1.2393415 0.9281493 0.37649812 actual$Item15 vs expected$Item15 [,1] [,2] [,3] - actual$Item15[1, ] 0.5969715 -0.1624826 0.0000000 + expected$Item15[1, ] 0.5969710 -0.1624826 0.0000000 - actual$Item15[2, ] 0.2924758 -1.7880450 -0.4508180 + expected$Item15[2, ] 0.2924753 -1.7880480 -0.4508185 - actual$Item15[3, ] 0.9014671 1.4630798 0.4508180 + expected$Item15[3, ] 0.9014667 1.4630829 0.4508185 actual$Item17 vs expected$Item17 [,1] [,2] [,3] - actual$Item17[1, ] 0.6847759 0.76018625 0.1095428 + expected$Item17[1, ] 0.6847714 0.76017007 0.1095386 - actual$Item17[2, ] 0.3576494 -0.03282381 -0.1169966 + expected$Item17[2, ] 0.3576462 -0.03285713 -0.1170052 - actual$Item17[3, ] 1.0119023 1.55319630 0.3360823 + expected$Item17[3, ] 1.0118965 1.55319727 0.3360824 actual$Item18 vs expected$Item18 [,1] [,2] [,3] - actual$Item18[1, ] 1.0130030 0.5271836 0.02923429 + expected$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.7467681 0.2319368 -0.09187737 + expected$Item18[2, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[3, ] 1.2792379 0.8224303 0.15034595 + expected$Item18[3, ] 1.2792380 0.8224303 0.15034599 actual$Item19 vs expected$Item19 [,1] [,2] [,3] [,4] [,5] - actual$Item19[1, ] 1.0724722 0.32685544 -0.28026602 -0.1179629 0.06295757 + expected$Item19[1, ] 1.0724564 0.32683925 -0.28025431 -0.1179664 0.06295113 - actual$Item19[2, ] 0.7086761 -0.06061478 -0.57594868 -0.3699005 -0.09366360 + expected$Item19[2, ] 0.7086647 -0.06064279 -0.57593174 -0.3699033 -0.09367449 - actual$Item19[3, ] 1.4362683 0.71432566 0.01541665 0.1339747 0.21957875 + expected$Item19[3, ] 1.4362481 0.71432129 0.01542311 0.1339705 0.21957674 actual$Item20 vs expected$Item20 [,1] [,2] [,3] - actual$Item20[1, ] 1.2606952 1.0741939 0.2041042 + expected$Item20[1, ] 1.2606957 1.0741941 0.2041043 - actual$Item20[2, ] 0.8841609 0.8738657 0.1346807 + expected$Item20[2, ] 0.8841613 0.8738660 0.1346808 - actual$Item20[3, ] 1.6372294 1.2745221 0.2735277 + expected$Item20[3, ] 1.6372300 1.2745222 0.2735277 ── Failure ('test-difNLR.R:30:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE)` to equal `fit1_coef2_expected`. Differences: actual$Item1 vs expected$Item1 [,1] [,2] [,3] [,4] [,5] - actual$Item1[1, ] 1.1211115 -0.30366673 -0.06452303 0.9496955 0.11055433 + expected$Item1[1, ] 1.1211096 -0.30367079 -0.06452658 0.9496952 0.11055254 - actual$Item1[2, ] 0.1497721 0.17207953 0.17085184 0.1111678 0.06621472 + expected$Item1[2, ] 0.1497720 0.17208068 0.17085083 0.1111678 0.06621531 - actual$Item1[3, ] 0.8275635 -0.64093641 -0.39938649 0.7318107 -0.01922413 + expected$Item1[3, ] 0.8275618 -0.64094274 -0.39938806 0.7318103 -0.01922709 - actual$Item1[4, ] 1.4146595 0.03360294 0.27034043 1.1675803 0.24033280 + expected$Item1[4, ] 1.4146573 0.03360115 0.27033489 1.1675800 0.24033216 actual$Item2 vs expected$Item2 [,1] [,2] [,3] [,4] [,5] - actual$Item2[1, ] 0.7152887 -0.4752518 0.5270872 0.5030715 0.07629900 + expected$Item2[1, ] 0.7152842 -0.4752771 0.5270724 0.5030783 0.07629099 - actual$Item2[2, ] 0.1045342 0.2967475 0.1802081 0.1585198 0.08456577 + expected$Item2[2, ] 0.1045337 0.2967549 0.1802049 0.1585211 0.08456850 - actual$Item2[3, ] 0.5104054 -1.0568661 0.1738859 0.1923783 -0.08944687 + expected$Item2[3, ] 0.5104020 -1.0569059 0.1738772 0.1923828 -0.08946022 - actual$Item2[4, ] 0.9201720 0.1063626 0.8802885 0.8137647 0.24204487 + expected$Item2[4, ] 0.9201664 0.1063518 0.8802676 0.8137739 0.24204220 actual$Item3 vs expected$Item3 [,1] [,2] [,3] - actual$Item3[1, ] 0.6742923 -1.5047526 0.0000000 + expected$Item3[1, ] 0.6742919 -1.5047528 0.0000000 - actual$Item3[2, ] 0.1649078 1.2137215 0.4129110 + expected$Item3[2, ] 0.1649079 1.2137232 0.4129113 - actual$Item3[3, ] 0.3510788 -3.8836030 -0.8092907 + expected$Item3[3, ] 0.3510784 -3.8836065 -0.8092914 - actual$Item3[4, ] 0.9975057 0.8740977 0.8092907 + expected$Item3[4, ] 0.9975053 0.8741010 0.8092914 actual$Item12 vs expected$Item12 [,1] [,2] [,3] - actual$Item12[1, ] 0.8977815 0.3821502 0.20920247 + expected$Item12[1, ] 0.8977892 0.3821652 0.20920692 - actual$Item12[2, ] 0.1742637 0.2785749 0.08535612 + expected$Item12[2, ] 0.1742646 0.2785684 0.08535422 - actual$Item12[3, ] 0.5562310 -0.1638465 0.04190755 + expected$Item12[3, ] 0.5562369 -0.1638188 0.04191572 - actual$Item12[4, ] 1.2393320 0.9281469 0.37649740 + expected$Item12[4, ] 1.2393415 0.9281493 0.37649812 actual$Item15 vs expected$Item15 [,1] [,2] [,3] - actual$Item15[1, ] 0.5969715 -0.1624826 0.0000000 + expected$Item15[1, ] 0.5969710 -0.1624826 0.0000000 - actual$Item15[2, ] 0.1553578 0.8293838 0.2300134 + expected$Item15[2, ] 0.1553578 0.8293854 0.2300137 - actual$Item15[3, ] 0.2924758 -1.7880450 -0.4508180 + expected$Item15[3, ] 0.2924753 -1.7880480 -0.4508185 - actual$Item15[4, ] 0.9014671 1.4630798 0.4508180 + expected$Item15[4, ] 0.9014667 1.4630829 0.4508185 actual$Item17 vs expected$Item17 [,1] [,2] [,3] - actual$Item17[1, ] 0.6847759 0.76018625 0.1095428 + expected$Item17[1, ] 0.6847714 0.76017007 0.1095386 - actual$Item17[2, ] 0.1669043 0.40460440 0.1155835 + expected$Item17[2, ] 0.1669037 0.40461315 0.1155857 - actual$Item17[3, ] 0.3576494 -0.03282381 -0.1169966 + expected$Item17[3, ] 0.3576462 -0.03285713 -0.1170052 - actual$Item17[4, ] 1.0119023 1.55319630 0.3360823 + expected$Item17[4, ] 1.0118965 1.55319727 0.3360824 actual$Item18 vs expected$Item18 [,1] [,2] [,3] - actual$Item18[1, ] 1.0130030 0.5271836 0.02923429 + expected$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.1358366 0.1506388 0.06179280 + expected$Item18[2, ] 0.1358367 0.1506389 0.06179281 - actual$Item18[3, ] 0.7467681 0.2319368 -0.09187737 + expected$Item18[3, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[4, ] 1.2792379 0.8224303 0.15034595 + expected$Item18[4, ] 1.2792380 0.8224303 0.15034599 actual$Item19 vs expected$Item19 [,1] [,2] [,3] [,4] [,5] - actual$Item19[1, ] 1.0724722 0.32685544 -0.28026602 -0.1179629 0.06295757 + expected$Item19[1, ] 1.0724564 0.32683925 -0.28025431 -0.1179664 0.06295113 - actual$Item19[2, ] 0.1856137 0.19769252 0.15086127 0.1285420 0.07991023 + expected$Item19[2, ] 0.1856114 0.19769855 0.15085860 0.1285416 0.07991250 - actual$Item19[3, ] 0.7086761 -0.06061478 -0.57594868 -0.3699005 -0.09366360 + expected$Item19[3, ] 0.7086647 -0.06064279 -0.57593174 -0.3699033 -0.09367449 - actual$Item19[4, ] 1.4362683 0.71432566 0.01541665 0.1339747 0.21957875 + expected$Item19[4, ] 1.4362481 0.71432129 0.01542311 0.1339705 0.21957674 actual$Item20 vs expected$Item20 [,1] [,2] [,3] - actual$Item20[1, ] 1.2606952 1.0741939 0.20410418 + expected$Item20[1, ] 1.2606957 1.0741941 0.20410428 - actual$Item20[2, ] 0.1921128 0.1022101 0.03542081 + expected$Item20[2, ] 0.1921129 0.1022101 0.03542079 - actual$Item20[3, ] 0.8841609 0.8738657 0.13468067 + expected$Item20[3, ] 0.8841613 0.8738660 0.13468081 - actual$Item20[4, ] 1.6372294 1.2745221 0.27352769 + expected$Item20[4, ] 1.6372300 1.2745222 0.27352775 ── Failure ('test-difNLR.R:33:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE, simplify = TRUE)` to equal `fit1_coef3_expected`. Differences: actual vs expected a b aDif bDif c - actual[1, ] 1.1211115 -0.30366673 -0.06452303 0.94969548 0.11055433 + expected[1, ] 1.1211096 -0.30367079 -0.06452658 0.94969519 0.11055254 - actual[2, ] 0.1497721 0.17207953 0.17085184 0.11116776 0.06621472 + expected[2, ] 0.1497720 0.17208068 0.17085083 0.11116778 0.06621531 - actual[3, ] 0.8275635 -0.64093641 -0.39938649 0.73181068 -0.01922413 + expected[3, ] 0.8275618 -0.64094274 -0.39938806 0.73181034 -0.01922709 - actual[4, ] 1.4146595 0.03360294 0.27034043 1.16758029 0.24033280 + expected[4, ] 1.4146573 0.03360115 0.27033489 1.16758004 0.24033216 - actual[5, ] 0.7152887 -0.47525176 0.52708717 0.50307153 0.07629900 + expected[5, ] 0.7152842 -0.47527705 0.52707243 0.50307832 0.07629099 - actual[6, ] 0.1045342 0.29674748 0.18020805 0.15851985 0.08456577 + expected[6, ] 0.1045337 0.29675487 0.18020494 0.15852106 0.08456850 - actual[7, ] 0.5104054 -1.05686614 0.17388588 0.19237834 -0.08944687 + expected[7, ] 0.5104020 -1.05690592 0.17387723 0.19238275 -0.08946022 - actual[8, ] 0.9201720 0.10636262 0.88028846 0.81376473 0.24204487 + expected[8, ] 0.9201664 0.10635181 0.88026764 0.81377389 0.24204220 - actual[9, ] 0.6742923 -1.50475260 0.00000000 0.00000000 0.00000000 + expected[9, ] 0.6742919 -1.50475277 0.00000000 0.00000000 0.00000000 - actual[10, ] 0.1649078 1.21372146 0.00000000 0.00000000 0.41291099 + expected[10, ] 0.1649079 1.21372318 0.00000000 0.00000000 0.41291135 and 9 more ... actual vs expected a b aDif bDif c actual[42, ] 0.1474411 0.51559730 0.00000000 0.00000000 0.20333876 actual[43, ] 0.5740457 -1.96072858 0.00000000 0.00000000 -0.38554991 actual[44, ] 1.1520042 0.06037568 0.00000000 0.00000000 0.41152338 - actual[45, ] 0.8977815 0.38215019 0.00000000 0.00000000 0.20920247 + expected[45, ] 0.8977892 0.38216524 0.00000000 0.00000000 0.20920692 - actual[46, ] 0.1742637 0.27857489 0.00000000 0.00000000 0.08535612 + expected[46, ] 0.1742646 0.27856840 0.00000000 0.00000000 0.08535422 - actual[47, ] 0.5562310 -0.16384655 0.00000000 0.00000000 0.04190755 + expected[47, ] 0.5562369 -0.16381880 0.00000000 0.00000000 0.04191572 - actual[48, ] 1.2393320 0.92814694 0.00000000 0.00000000 0.37649740 + expected[48, ] 1.2393415 0.92814928 0.00000000 0.00000000 0.37649812 actual[49, ] 0.8157721 -0.77457288 0.00000000 0.00000000 0.29437966 actual[50, ] 0.1918456 0.69590763 0.00000000 0.00000000 0.18393642 actual[51, ] 0.4397616 -2.13852678 0.00000000 0.00000000 -0.06612910 actual vs expected a b aDif bDif c actual[54, ] 0.1468574 0.22426067 0.00000000 0.00000000 0.07984885 actual[55, ] 0.5921011 0.09897528 0.00000000 0.00000000 -0.08451342 actual[56, ] 1.1677714 0.97806096 0.00000000 0.00000000 0.22848830 - actual[57, ] 0.5969715 -0.16248257 0.00000000 0.00000000 0.00000000 + expected[57, ] 0.5969710 -0.16248256 0.00000000 0.00000000 0.00000000 - actual[58, ] 0.1553578 0.82938381 0.00000000 0.00000000 0.23001339 + expected[58, ] 0.1553578 0.82938536 0.00000000 0.00000000 0.23001366 - actual[59, ] 0.2924758 -1.78804497 0.00000000 0.00000000 -0.45081796 + expected[59, ] 0.2924753 -1.78804800 0.00000000 0.00000000 -0.45081850 - actual[60, ] 0.9014671 1.46307983 0.00000000 0.00000000 0.45081796 + expected[60, ] 0.9014667 1.46308288 0.00000000 0.00000000 0.45081850 actual[61, ] 1.0814052 0.46620935 0.00000000 0.00000000 0.07682816 actual[62, ] 0.1451789 0.14367819 0.00000000 0.00000000 0.05844552 actual[63, ] 0.7968598 0.18460528 0.00000000 0.00000000 -0.03772296 and 17 more ... actual$a | expected$a [1] 1.121111531 - 1.121109559 [1] [2] 0.149772135 - 0.149772005 [2] [3] 0.827563540 - 0.827561822 [3] [4] 1.414659522 - 1.414657295 [4] [5] 0.715288666 - 0.715284188 [5] [6] 0.104534211 - 0.104533661 [6] [7] 0.510405377 - 0.510401978 [7] [8] 0.920171955 - 0.920166398 [8] [9] 0.674292260 - 0.674291851 [9] [10] 0.164907840 - 0.164907873 [10] ... ... ... and 9 more ... actual$a | expected$a [42] 0.147441088 | 0.147441088 [42] [43] 0.574045716 | 0.574045716 [43] [44] 1.152004161 | 1.152004161 [44] [45] 0.897781523 - 0.897789207 [45] [46] 0.174263656 - 0.174264595 [46] [47] 0.556231033 - 0.556236876 [47] [48] 1.239332013 - 1.239341538 [48] [49] 0.815772114 | 0.815772114 [49] [50] 0.191845634 | 0.191845634 [50] [51] 0.439761580 | 0.439761580 [51] actual$a | expected$a [54] 0.146857350 | 0.146857350 [54] [55] 0.592101119 | 0.592101119 [55] [56] 1.167771354 | 1.167771354 [56] [57] 0.596971484 - 0.596971007 [57] [58] 0.155357775 - 0.155357800 [58] [59] 0.292475840 - 0.292475314 [59] [60] 0.901467127 - 0.901466700 [60] [61] 1.081405240 | 1.081405240 [61] [62] 0.145178903 | 0.145178903 [62] [63] 0.796859818 | 0.796859818 [63] ... ... ... and 17 more ... actual$b | expected$b [1] -0.303666734 - -0.303670794 [1] [2] 0.172079525 - 0.172080683 [2] [3] -0.640936407 - -0.640942736 [3] [4] 0.033602938 - 0.033601147 [4] [5] -0.475251764 - -0.475277052 [5] [6] 0.296747484 - 0.296754874 [6] [7] -1.056866145 - -1.056905917 [7] [8] 0.106362617 - 0.106351814 [8] [9] -1.504752602 - -1.504752772 [9] [10] 1.213721460 - 1.213723182 [10] ... ... ... and 9 more ... actual$b | expected$b [42] 0.515597298 | 0.515597298 [42] [43] -1.960728585 | -1.960728585 [43] [44] 0.060375684 | 0.060375684 [44] [45] 0.382150194 - 0.382165243 [45] [46] 0.278574885 - 0.278568404 [46] [47] -0.163846548 - -0.163818797 [47] [48] 0.928146936 - 0.928149283 [48] [49] -0.774572883 | -0.774572883 [49] [50] 0.695907633 | 0.695907633 [50] [51] -2.138526780 | -2.138526780 [51] actual$b | expected$b [54] 0.224260672 | 0.224260672 [54] [55] 0.098975280 | 0.098975280 [55] [56] 0.978060960 | 0.978060960 [56] [57] -0.162482568 - -0.162482560 [57] [58] 0.829383811 - 0.829385363 [58] [59] -1.788044967 - -1.788048001 [59] [60] 1.463079831 - 1.463082881 [60] [61] 0.466209347 | 0.466209347 [61] [62] 0.143678186 | 0.143678186 [62] [63] 0.184605276 | 0.184605276 [63] ... ... ... and 17 more ... actual$aDif | expected$aDif [1] -0.0645230 - -0.0645266 [1] [2] 0.1708518 - 0.1708508 [2] [3] -0.3993865 - -0.3993881 [3] [4] 0.2703404 - 0.2703349 [4] [5] 0.5270872 - 0.5270724 [5] [6] 0.1802081 - 0.1802049 [6] [7] 0.1738859 - 0.1738772 [7] [8] 0.8802885 - 0.8802676 [8] [9] 0.0000000 | 0.0000000 [9] [10] 0.0000000 | 0.0000000 [10] ... ... ... and 1 more ... actual$aDif | expected$aDif [70] 0.0000000 | 0.0000000 [70] [71] 0.0000000 | 0.0000000 [71] [72] 0.0000000 | 0.0000000 [72] [73] -0.2802660 - -0.2802543 [73] [74] 0.1508613 - 0.1508586 [74] [75] -0.5759487 - -0.5759317 [75] [76] 0.0154166 - 0.0154231 [76] [77] 0.0000000 | 0.0000000 [77] [78] 0.0000000 | 0.0000000 [78] [79] 0.0000000 | 0.0000000 [79] actual$bDif | expected$bDif [1] 0.949695484 - 0.949695187 [1] [2] 0.111167761 - 0.111167782 [2] [3] 0.731810676 - 0.731810338 [3] [4] 1.167580291 - 1.167580036 [4] [5] 0.503071532 - 0.503078321 [5] [6] 0.158519849 - 0.158521059 [6] [7] 0.192378336 - 0.192382754 [7] [8] 0.813764727 - 0.813773887 [8] [9] 0.000000000 | 0.000000000 [9] [10] 0.000000000 | 0.000000000 [10] ... ... ... and 1 more ... actual$bDif | expected$bDif [70] 0.000000000 | 0.000000000 [70] [71] 0.000000000 | 0.000000000 [71] [72] 0.000000000 | 0.000000000 [72] [73] -0.117962872 - -0.117966417 [73] [74] 0.128541963 - 0.128541597 [74] [75] -0.369900490 - -0.369903317 [75] [76] 0.133974747 - 0.133970483 [76] [77] 0.000000000 | 0.000000000 [77] [78] 0.000000000 | 0.000000000 [78] [79] 0.000000000 | 0.000000000 [79] actual$c | expected$c [1] 0.110554332 - 0.110552536 [1] [2] 0.066214719 - 0.066215310 [2] [3] -0.019224132 - -0.019227087 [3] [4] 0.240332795 - 0.240332159 [4] [5] 0.076299000 - 0.076290990 [5] [6] 0.084565772 - 0.084568498 [6] [7] -0.089446867 - -0.089460221 [7] [8] 0.242044867 - 0.242042201 [8] [9] 0.000000000 | 0.000000000 [9] [10] 0.412910989 - 0.412911348 [10] ... ... ... and 9 more ... actual$c | expected$c [42] 0.203338760 | 0.203338760 [42] [43] -0.385549911 | -0.385549911 [43] [44] 0.411523383 | 0.411523383 [44] [45] 0.209202473 - 0.209206920 [45] [46] 0.085356121 - 0.085354220 [46] [47] 0.041907550 - 0.041915723 [47] [48] 0.376497397 - 0.376498117 [48] [49] 0.294379661 | 0.294379661 [49] [50] 0.183936421 | 0.183936421 [50] [51] -0.066129098 | -0.066129098 [51] actual$c | expected$c [55] -0.084513421 | -0.084513421 [55] [56] 0.228488303 | 0.228488303 [56] [57] 0.000000000 | 0.000000000 [57] [58] 0.230013390 - 0.230013664 [58] [59] -0.450817961 - -0.450818497 [59] [60] 0.450817961 - 0.450818497 [60] [61] 0.076828160 | 0.076828160 [61] [62] 0.058445522 | 0.058445522 [62] [63] -0.037722959 | -0.037722959 [63] [64] 0.191379279 | 0.191379279 [64] ... ... ... and 16 more ... ── Failure ('test-difNLR.R:67:3'): difNLR - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$Sval | expected$Sval [1] 41.91450786 - 41.91446590 [1] [2] 14.73983537 - 14.73970661 [2] [3] 0.69033084 | 0.69033084 [3] [4] 2.86221667 - 2.86221791 [4] [5] 1.08908551 - 1.08904070 [5] [6] 0.15466706 | 0.15466706 [6] [7] 5.68978837 | 5.68978837 [7] [8] 2.41271466 | 2.41271466 [8] actual$Sval | expected$Sval [9] 0.42188747 | 0.42188747 [9] [10] 1.16991275 | 1.16991275 [10] [11] 1.20219021 | 1.20219021 [11] [12] 1.01431287 - 1.01430708 [12] [13] 3.85492063 - 3.85490451 [13] [14] 1.41489478 - 1.41492671 [14] [15] 1.10837744 - 1.10837665 [15] [16] 0.13937675 - 0.13939486 [16] [17] 2.56488158 | 2.56488158 [17] [18] 1.94129713 | 1.94129713 [18] ... ... ... and 2 more ... `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.1648098 0.8741076 0.0000000 0.0000000 0.0312352 `expected$nlrPAR[[19]]`: -0.1647959 0.8741101 0.0000000 0.0000000 0.0312302 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020992 0.16690432 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25443618 0.13941454 0.00000000 0.00000000 0.09722468 `expected$nlrSE[[19]]`: 0.25443417 0.13941390 0.00000000 0.00000000 0.09722515 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020992 0.16690432 0.11558346 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226378 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576915 0.82846614 0.07274197 0.11401518 0.20008979 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951090 0.22840255 0.16653679 0.17824102 0.18525771 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389652 - 0.317389648 [1] [2] 0.180970627 - 0.180970873 [2] [3] 0.126195456 - 0.126195564 [3] [4] 0.161661699 - 0.161661852 [4] [5] 0.088776085 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267653 -0.04957514 -0.009803337 0.005316360 -0.058633985 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575139 0.05216772 -0.013482942 -0.025705004 0.035057791 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803337 -0.01348294 0.027734503 0.018707553 -0.003097784 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316360 -0.02570500 0.018707553 0.031769863 -0.009151661 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633985 0.03505779 -0.003097784 -0.009151661 0.034320418 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736191 -0.045897301 -0.0097905630 -0.003091693 -0.0270592881 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897301 0.032750368 0.0029241532 -0.009602347 0.0127859117 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790563 0.002924153 0.0159252931 -0.003765778 0.0005707833 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091693 -0.009602347 -0.0037657784 0.026134505 0.0014824507 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059288 0.012785912 0.0005707833 0.001482451 0.0078811934 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 actual$pval | expected$pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629920 - 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043834 - 0.239043686 [4] [5] 0.580106974 - 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] [8] 0.299285495 | 0.299285495 [8] actual$pval | expected$pval [9] 0.809819629 | 0.809819629 [9] [10] 0.557130166 | 0.557130166 [10] [11] 0.548210958 | 0.548210958 [11] [12] 0.602205558 - 0.602207300 [12] [13] 0.145517298 - 0.145518471 [13] [14] 0.492900777 - 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932684424 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] ... ... ... and 2 more ... actual$adj.pval | expected$adj.pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629920 - 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043834 - 0.239043686 [4] [5] 0.580106974 - 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] [8] 0.299285495 | 0.299285495 [8] actual$adj.pval | expected$adj.pval [9] 0.809819629 | 0.809819629 [9] [10] 0.557130166 | 0.557130166 [10] [11] 0.548210958 | 0.548210958 [11] [12] 0.602205558 - 0.602207300 [12] [13] 0.145517298 - 0.145518471 [13] [14] 0.492900777 - 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932684424 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] ... ... ... and 2 more ... ── Failure ('test-difNLR.R:74:3'): difNLR - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$nlrPAR[[19]]`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020992 0.16690432 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$nlrSE[[19]]`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020992 0.16690432 0.11558346 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226378 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576915 0.82846614 0.07274197 0.11401518 0.20008979 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951090 0.22840255 0.16653679 0.17824102 0.18525771 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389652 - 0.317389648 [1] [2] 0.180970627 - 0.180970873 [2] [3] 0.126195456 - 0.126195564 [3] [4] 0.161661699 - 0.161661852 [4] [5] 0.088776085 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267653 -0.04957514 -0.009803337 0.005316360 -0.058633985 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575139 0.05216772 -0.013482942 -0.025705004 0.035057791 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803337 -0.01348294 0.027734503 0.018707553 -0.003097784 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316360 -0.02570500 0.018707553 0.031769863 -0.009151661 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633985 0.03505779 -0.003097784 -0.009151661 0.034320418 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736191 -0.045897301 -0.0097905630 -0.003091693 -0.0270592881 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897301 0.032750368 0.0029241532 -0.009602347 0.0127859117 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790563 0.002924153 0.0159252931 -0.003765778 0.0005707833 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091693 -0.009602347 -0.0037657784 0.026134505 0.0014824507 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059288 0.012785912 0.0005707833 0.001482451 0.0078811934 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 ── Failure ('test-difNLR.R:82:3'): difNLR - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$nlrPAR[[19]]`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.182139912 - 0.182140300 [1] [2] 0.136434971 - 0.136435011 [2] [3] 0.195971574 - 0.195970218 [3] [4] 0.181408684 - 0.181407263 [4] [5] 0.071363228 - 0.071363724 [5] `actual$nlrSE[[2]]`: 0.15013925 0.09804375 0.11505907 0.15356014 0.06380017 `expected$nlrSE[[2]]`: 0.15014054 0.09804337 0.11505747 0.15355780 0.06380204 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.215829728 - 0.215831976 [1] [2] 0.059341213 - 0.059341307 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.141829810 - 0.141831397 [5] `actual$nlrSE[[4]]`: 0.88126176 0.16560992 0.00000000 0.00000000 0.68092015 `expected$nlrSE[[4]]`: 0.88126070 0.16560973 0.00000000 0.00000000 0.68091933 `actual$nlrSE[[12]]`: 0.32727738 0.16911890 0.00000000 0.00000000 0.08876811 `expected$nlrSE[[12]]`: 0.32727418 0.16911810 0.00000000 0.00000000 0.08876566 `actual$nlrSE[[15]]`: 0.4625678 0.1407642 0.0000000 0.0000000 0.2203973 `expected$nlrSE[[15]]`: 0.4625593 0.1407614 0.0000000 0.0000000 0.2203932 `actual$nlrSE[[17]]`: 0.4632523 0.1874598 0.0000000 0.0000000 0.1342086 `expected$nlrSE[[17]]`: 0.4632644 0.1874638 0.0000000 0.0000000 0.1342142 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.193704607 - 0.193704599 [1] [2] 0.126841365 - 0.126841362 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.052025514 - 0.052025510 [5] `actual$nlrSE[[19]]`: 0.2702559 0.1902969 0.1230730 0.1536804 0.0762552 `expected$nlrSE[[19]]`: 0.2702546 0.1902939 0.1230704 0.1536768 0.0762570 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.304644863 - 0.304644969 [1] [2] 0.200301551 - 0.200301634 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.037217858 - 0.037217841 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.247502478 0.141883446 0.094060520 `expected$seM0$Item1`: 0.247504232 0.141883385 0.094062659 `actual$seM0$Item2`: 0.20122551 0.14005876 0.06774395 `expected$seM0$Item2`: 0.20122455 0.14005847 0.06774292 `actual$seM0$Item3`: 0.215829728 0.059341213 0.141829810 `expected$seM0$Item3`: 0.215831976 0.059341307 0.141831397 `actual$seM0$Item4`: 0.88126176 0.16560992 0.68092015 `expected$seM0$Item4`: 0.88126070 0.16560973 0.68091933 `actual$seM0$Item12`: 0.32727738 0.16911890 0.08876811 `expected$seM0$Item12`: 0.32727418 0.16911810 0.08876566 `actual$seM0$Item15`: 0.4625678 0.1407642 0.2203973 `expected$seM0$Item15`: 0.4625593 0.1407614 0.2203932 `actual$seM0$Item17`: 0.4632523 0.1874598 0.1342086 `expected$seM0$Item17`: 0.4632644 0.1874638 0.1342142 `actual$seM0$Item18`: 0.193704607 0.126841365 0.052025514 `expected$seM0$Item18`: 0.193704599 0.126841362 0.052025510 `actual$seM0$Item19`: 0.244997 0.127100 0.088943 `expected$seM0$Item19`: 0.245022 0.127114 0.088954 `actual$seM0$Item20`: 0.304644863 0.200301551 0.037217858 `expected$seM0$Item20`: 0.304644969 0.200301634 0.037217841 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.06125748 -0.03115499 -0.022760713 + expected$covM0$Item1[1, ] 0.06125834 -0.03115527 -0.022761408 - actual$covM0$Item1[2, ] -0.03115499 0.02013091 0.012009712 + expected$covM0$Item1[2, ] -0.03115527 0.02013089 0.012010012 - actual$covM0$Item1[3, ] -0.02276071 0.01200971 0.008847381 + expected$covM0$Item1[3, ] -0.02276141 0.01201001 0.008847784 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.04049170 -0.022396013 -0.013017895 + expected$covM0$Item2[1, ] 0.04049132 -0.022395776 -0.013017623 - actual$covM0$Item2[2, ] -0.02239601 0.019616456 0.007736685 + expected$covM0$Item2[2, ] -0.02239578 0.019616376 0.007736518 - actual$covM0$Item2[3, ] -0.01301789 0.007736685 0.004589242 + expected$covM0$Item2[3, ] -0.01301762 0.007736518 0.004589103 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.046582471 -0.003611274 -0.029569491 + expected$covM0$Item3[1, ] 0.046583442 -0.003611420 -0.029570154 - actual$covM0$Item3[2, ] -0.003611274 0.003521380 0.003202409 + expected$covM0$Item3[2, ] -0.003611420 0.003521391 0.003202505 - actual$covM0$Item3[3, ] -0.029569491 0.003202409 0.020115695 + expected$covM0$Item3[3, ] -0.029570154 0.003202505 0.020116145 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7766223 -0.13391789 -0.5986901 + expected$covM0$Item4[1, ] 0.7766204 -0.13391755 -0.5986886 - actual$covM0$Item4[2, ] -0.1339179 0.02742665 0.1046947 + expected$covM0$Item4[2, ] -0.1339175 0.02742658 0.1046944 - actual$covM0$Item4[3, ] -0.5986901 0.10469471 0.4636523 + expected$covM0$Item4[3, ] -0.5986886 0.10469445 0.4636511 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.10711048 -0.05020243 -0.028452685 + expected$covM0$Item12[1, ] 0.10710839 -0.05020158 -0.028451594 - actual$covM0$Item12[2, ] -0.05020243 0.02860120 0.013479957 + expected$covM0$Item12[2, ] -0.05020158 0.02860093 0.013479471 - actual$covM0$Item12[3, ] -0.02845268 0.01347996 0.007879777 + expected$covM0$Item12[3, ] -0.02845159 0.01347947 0.007879342 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.21396894 -0.06122923 -0.10144079 + expected$covM0$Item15[1, ] 0.21396106 -0.06122675 -0.10143700 - actual$covM0$Item15[2, ] -0.06122923 0.01981455 0.02930832 + expected$covM0$Item15[2, ] -0.06122675 0.01981377 0.02930712 - actual$covM0$Item15[3, ] -0.10144079 0.02930832 0.04857497 + expected$covM0$Item15[3, ] -0.10143700 0.02930712 0.04857315 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.21460270 -0.08275234 -0.06169009 + expected$covM0$Item17[1, ] 0.21461388 -0.08275649 -0.06169431 - actual$covM0$Item17[2, ] -0.08275234 0.03514116 0.02389419 + expected$covM0$Item17[2, ] -0.08275649 0.03514266 0.02389578 - actual$covM0$Item17[3, ] -0.06169009 0.02389419 0.01801195 + expected$covM0$Item17[3, ] -0.06169431 0.02389578 0.01801345 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.037521475 -0.021302394 -0.009676867 + expected$covM0$Item18[1, ] 0.037521472 -0.021302393 -0.009676866 - actual$covM0$Item18[2, ] -0.021302394 0.016088732 0.005718583 + expected$covM0$Item18[2, ] -0.021302393 0.016088731 0.005718582 - actual$covM0$Item18[3, ] -0.009676867 0.005718583 0.002706654 + expected$covM0$Item18[3, ] -0.009676866 0.005718582 0.002706654 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06002353 -0.02765727 -0.02132544 + expected$covM0$Item19[1, ] 0.06003589 -0.02766398 -0.02133031 - actual$covM0$Item19[2, ] -0.02765727 0.01615433 0.01014022 + expected$covM0$Item19[2, ] -0.02766398 0.01615796 0.01014285 - actual$covM0$Item19[3, ] -0.02132544 0.01014022 0.00791085 + expected$covM0$Item19[3, ] -0.02133031 0.01014285 0.00791276 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.09280849 -0.056079244 -0.010573162 + expected$covM0$Item20[1, ] 0.09280856 -0.056079288 -0.010573160 - actual$covM0$Item20[2, ] -0.05607924 0.040120711 0.006246399 + expected$covM0$Item20[2, ] -0.05607929 0.040120745 0.006246398 - actual$covM0$Item20[3, ] -0.01057316 0.006246399 0.001385169 + expected$covM0$Item20[3, ] -0.01057316 0.006246398 0.001385168 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576915 0.82846614 0.07274197 0.11401518 0.20008979 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.182139912 - 0.182140300 [1] [2] 0.136434971 - 0.136435011 [2] [3] 0.195971574 - 0.195970218 [3] [4] 0.181408684 - 0.181407263 [4] [5] 0.071363228 - 0.071363724 [5] `actual$seM1$Item2`: 0.15013925 0.09804375 0.11505907 0.15356014 0.06380017 `expected$seM1$Item2`: 0.15014054 0.09804337 0.11505747 0.15355780 0.06380204 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.902206263 - 0.902244756 [1] [2] 0.183113700 - 0.183120113 [2] [3] 0.127083394 - 0.127083835 [3] [4] 0.127064175 - 0.127064121 [4] [5] 0.682118044 - 0.682147597 [5] `actual$seM1$Item5`: 0.66434119 0.27999838 0.15330582 0.16565851 0.34714388 `expected$seM1$Item5`: 0.66433706 0.27999579 0.15330600 0.16565984 0.34713876 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.384107084 - 0.384107914 [1] [2] 0.218214208 - 0.218215022 [2] [3] 0.136533157 - 0.136533457 [3] [4] 0.154528672 - 0.154529082 [4] [5] 0.100063607 - 0.100063598 [5] `actual$seM1$Item13`: 0.5201022 0.2005938 0.1351184 0.1484363 0.2492924 `expected$seM1$Item13`: 0.5201498 0.2005973 0.1351160 0.1484286 0.2493353 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.254320246 - 0.254323256 [1] [2] 0.139648922 - 0.139649688 [2] [3] 0.110457527 | 0.110457527 [3] [4] 0.119580204 - 0.119579908 [4] [5] 0.073202584 - 0.073203452 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.433862773 - 0.433862784 [1] [2] 0.143168315 - 0.143168318 [2] [3] 0.096666823 | 0.096666823 [3] [4] 0.093469202 | 0.093469202 [4] [5] 0.199418936 - 0.199418941 [5] `actual$seM1$Item16`: 0.21046916 0.13646859 0.12012704 0.13676344 0.05300150 `expected$seM1$Item16`: 0.21046973 0.13646944 0.12012675 0.13676297 0.05300169 `actual$seM1$Item19`: 0.2702559 0.1902969 0.1230730 0.1536804 0.0762552 `expected$seM1$Item19`: 0.2702546 0.1902939 0.1230704 0.1536768 0.0762570 `actual$seM1$Item20`: 0.27755210 0.18472890 0.22329169 0.22687549 0.03714080 `expected$seM1$Item20`: 0.27755499 0.18473132 0.22329334 0.22687700 0.03714060 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.03317495 -0.013650475 0.01750644 -0.017689893 -0.011595567 + expected$covM1$Item1[1, ] 0.03317509 -0.013650567 0.01750634 -0.017689734 -0.011595684 - actual$covM1$Item1[2, ] -0.01365047 0.018614501 -0.01455528 -0.001145234 0.006407021 + expected$covM1$Item1[2, ] -0.01365057 0.018614512 -0.01455523 -0.001145268 0.006407092 - actual$covM1$Item1[3, ] 0.01750644 -0.014555280 0.03840486 -0.019132976 -0.010712079 + expected$covM1$Item1[3, ] 0.01750634 -0.014555230 0.03840433 -0.019132514 -0.010712063 - actual$covM1$Item1[4, ] -0.01768989 -0.001145234 -0.01913298 0.032909111 0.007394174 + expected$covM1$Item1[4, ] -0.01768973 -0.001145268 -0.01913251 0.032908595 0.007394127 - actual$covM1$Item1[5, ] -0.01159557 0.006407021 -0.01071208 0.007394174 0.005092710 + expected$covM1$Item1[5, ] -0.01159568 0.006407092 -0.01071206 0.007394127 0.005092781 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.0225417940 -0.006605298 -0.0003416402 -0.008136222 -0.008376166 + expected$covM1$Item2[1, ] 0.0225421825 -0.006605426 -0.0003416772 -0.008136339 -0.008376524 - actual$covM1$Item2[2, ] -0.0066052977 0.009612576 -0.0021371287 -0.003801043 0.003299347 + expected$covM1$Item2[2, ] -0.0066054264 0.009612502 -0.0021371262 -0.003800878 0.003299483 - actual$covM1$Item2[3, ] -0.0003416402 -0.002137129 0.0132385896 -0.001810276 -0.002417447 + expected$covM1$Item2[3, ] -0.0003416772 -0.002137126 0.0132382212 -0.001810048 -0.002417431 - actual$covM1$Item2[4, ] -0.0081362216 -0.003801043 -0.0018102761 0.023580718 0.003852384 + expected$covM1$Item2[4, ] -0.0081363391 -0.003800878 -0.0018100482 0.023579999 0.003852482 - actual$covM1$Item2[5, ] -0.0083761661 0.003299347 -0.0024174467 0.003852384 0.004070462 + expected$covM1$Item2[5, ] -0.0083765241 0.003299483 -0.0024174308 0.003852482 0.004070701 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.81397614 -0.143611101 -0.036787489 0.012083563 -0.61294329 + expected$covM1$Item4[1, ] 0.81404560 -0.143623886 -0.036790367 0.012083838 -0.61299621 - actual$covM1$Item4[2, ] -0.14361110 0.033530627 0.003260253 -0.010009875 0.11059008 + expected$covM1$Item4[2, ] -0.14362389 0.033532976 0.003260785 -0.010009925 0.11059981 - actual$covM1$Item4[3, ] -0.03678749 0.003260253 0.016150189 0.005334569 0.02287977 + expected$covM1$Item4[3, ] -0.03679037 0.003260785 0.016150301 0.005334550 0.02288197 - actual$covM1$Item4[4, ] 0.01208356 -0.010009875 0.005334569 0.016145305 -0.01091299 + expected$covM1$Item4[4, ] 0.01208384 -0.010009925 0.005334550 0.016145291 -0.01091320 - actual$covM1$Item4[5, ] -0.61294329 0.110590075 0.022879775 -0.010912991 0.46528503 + expected$covM1$Item4[5, ] -0.61299621 0.110599813 0.022881969 -0.010913201 0.46532534 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.44134921 -0.162239804 -0.017596215 -0.024532955 -0.227342661 + expected$covM1$Item5[1, ] 0.44134373 -0.162236950 -0.017596500 -0.024536032 -0.227337853 - actual$covM1$Item5[2, ] -0.16223980 0.078399091 -0.004226919 -0.005838043 0.088596845 + expected$covM1$Item5[2, ] -0.16223695 0.078397643 -0.004226775 -0.005836830 0.088594557 - actual$covM1$Item5[3, ] -0.01759622 -0.004226919 0.023502674 0.008966713 0.002361415 + expected$covM1$Item5[3, ] -0.01759650 -0.004226775 0.023502731 0.008966731 0.002361547 - actual$covM1$Item5[4, ] -0.02453296 -0.005838043 0.008966713 0.027442742 0.010345767 + expected$covM1$Item5[4, ] -0.02453603 -0.005836830 0.008966731 0.027443183 0.010347350 - actual$covM1$Item5[5, ] -0.22734266 0.088596845 0.002361415 0.010345767 0.120508876 + expected$covM1$Item5[5, ] -0.22733785 0.088594557 0.002361547 0.010347350 0.120505317 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.14753825 -0.07557246 -0.025194631 0.023420571 -0.037306291 + expected$covM1$Item12[1, ] 0.14753889 -0.07557295 -0.025194916 0.023420981 -0.037306371 - actual$covM1$Item12[2, ] -0.07557246 0.04761744 0.012142501 -0.020539843 0.019340738 + expected$covM1$Item12[2, ] -0.07557295 0.04761780 0.012142676 -0.020540100 0.019340819 - actual$covM1$Item12[3, ] -0.02519463 0.01214250 0.018641303 -0.007031612 0.004478379 + expected$covM1$Item12[3, ] -0.02519492 0.01214268 0.018641385 -0.007031704 0.004478440 - actual$covM1$Item12[4, ] 0.02342057 -0.02053984 -0.007031612 0.023879111 -0.005445911 + expected$covM1$Item12[4, ] 0.02342098 -0.02054010 -0.007031704 0.023879237 -0.005446005 - actual$covM1$Item12[5, ] -0.03730629 0.01934074 0.004478379 -0.005445911 0.010012725 + expected$covM1$Item12[5, ] -0.03730637 0.01934082 0.004478440 -0.005446005 0.010012724 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.27050628 -0.091180450 -0.025236969 0.019612879 -0.128018981 + expected$covM1$Item13[1, ] 0.27055580 -0.091192037 -0.025239567 0.019610268 -0.128053132 - actual$covM1$Item13[2, ] -0.09118045 0.040237890 0.006163942 -0.015053592 0.044416543 + expected$covM1$Item13[2, ] -0.09119204 0.040239284 0.006164376 -0.015051528 0.044425723 - actual$covM1$Item13[3, ] -0.02523697 0.006163942 0.018256986 0.004253969 0.008895618 + expected$covM1$Item13[3, ] -0.02523957 0.006164376 0.018256327 0.004254185 0.008897746 - actual$covM1$Item13[4, ] 0.01961288 -0.015053592 0.004253969 0.022033331 -0.009927555 + expected$covM1$Item13[4, ] 0.01961027 -0.015051528 0.004254185 0.022031039 -0.009927136 - actual$covM1$Item13[5, ] -0.12801898 0.044416543 0.008895618 -0.009927555 0.062146708 + expected$covM1$Item13[5, ] -0.12805313 0.044425723 0.008897746 -0.009927136 0.062168113 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.0646787874 -0.027876789 -0.0084141448 0.0003847233 -0.0177151590 + expected$covM1$Item14[1, ] 0.0646803184 -0.027877412 -0.0084144370 0.0003848862 -0.0177156022 - actual$covM1$Item14[2, ] -0.0278767889 0.019501821 0.0023291948 -0.0070141728 0.0080229696 + expected$covM1$Item14[2, ] -0.0278774119 0.019502035 0.0023293319 -0.0070142161 0.0080231464 - actual$covM1$Item14[3, ] -0.0084141448 0.002329195 0.0122008652 -0.0029413288 0.0006728889 + expected$covM1$Item14[3, ] -0.0084144370 0.002329332 0.0122008653 -0.0029413255 0.0006729786 - actual$covM1$Item14[4, ] 0.0003847233 -0.007014173 -0.0029413288 0.0142994252 0.0003058189 + expected$covM1$Item14[4, ] 0.0003848862 -0.007014216 -0.0029413255 0.0142993543 0.0003057706 - actual$covM1$Item14[5, ] -0.0177151590 0.008022970 0.0006728889 0.0003058189 0.0053586182 + expected$covM1$Item14[5, ] -0.0177156022 0.008023146 0.0006729786 0.0003057706 0.0053587454 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.188236906 -0.054552810 -0.0142410655 0.0064748047 -0.085510546 + expected$covM1$Item15[1, ] 0.188236915 -0.054552813 -0.0142410660 0.0064748053 -0.085510550 - actual$covM1$Item15[2, ] -0.054552810 0.020497166 0.0028843201 -0.0062397888 0.025359905 + expected$covM1$Item15[2, ] -0.054552813 0.020497167 0.0028843203 -0.0062397890 0.025359906 - actual$covM1$Item15[3, ] -0.014241065 0.002884320 0.0093444747 -0.0003460474 0.004556433 + expected$covM1$Item15[3, ] -0.014241066 0.002884320 0.0093444747 -0.0003460475 0.004556434 - actual$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460474 0.0087364918 -0.003001133 + expected$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460475 0.0087364918 -0.003001133 - actual$covM1$Item15[5, ] -0.085510546 0.025359905 0.0045564334 -0.0030011328 0.039767912 + expected$covM1$Item15[5, ] -0.085510550 0.025359906 0.0045564337 -0.0030011331 0.039767914 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.044297267 -0.021564007 -0.0064128287 -0.001938579 -0.0102238063 + expected$covM1$Item16[1, ] 0.044297508 -0.021564263 -0.0064130417 -0.001938256 -0.0102238778 - actual$covM1$Item16[2, ] -0.021564007 0.018623677 0.0017296164 -0.006306168 0.0053160943 + expected$covM1$Item16[2, ] -0.021564263 0.018623907 0.0017297317 -0.006306356 0.0053161675 - actual$covM1$Item16[3, ] -0.006412829 0.001729616 0.0144305058 -0.005175853 -0.0002275200 + expected$covM1$Item16[3, ] -0.006413042 0.001729732 0.0144304360 -0.005175775 -0.0002274572 - actual$covM1$Item16[4, ] -0.001938579 -0.006306168 -0.0051758529 0.018704238 0.0011715964 + expected$covM1$Item16[4, ] -0.001938256 -0.006306356 -0.0051757752 0.018704111 0.0011715055 - actual$covM1$Item16[5, ] -0.010223806 0.005316094 -0.0002275200 0.001171596 0.0028091592 + expected$covM1$Item16[5, ] -0.010223878 0.005316167 -0.0002274572 0.001171505 0.0028091791 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.07303824 -0.04454662 -0.020952654 0.026135640 -0.019686631 + expected$covM1$Item19[1, ] 0.07303756 -0.04454570 -0.020951625 0.026134468 -0.019687043 - actual$covM1$Item19[2, ] -0.04454662 0.03621290 0.011434469 -0.024504940 0.012515942 + expected$covM1$Item19[2, ] -0.04454570 0.03621178 0.011433663 -0.024503771 0.012516080 - actual$covM1$Item19[3, ] -0.02095265 0.01143447 0.015146958 -0.007664408 0.004279994 + expected$covM1$Item19[3, ] -0.02095162 0.01143366 0.015146315 -0.007663701 0.004279873 - actual$covM1$Item19[4, ] 0.02613564 -0.02450494 -0.007664408 0.023617680 -0.007117013 + expected$covM1$Item19[4, ] 0.02613447 -0.02450377 -0.007663701 0.023616569 -0.007116920 - actual$covM1$Item19[5, ] -0.01968663 0.01251594 0.004279994 -0.007117013 0.005814853 + expected$covM1$Item19[5, ] -0.01968704 0.01251608 0.004279873 -0.007116920 0.005815136 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.077035166 -0.043372652 -0.003913666 -0.003131662 -0.009036865 + expected$covM1$Item20[1, ] 0.077036771 -0.043373810 -0.003914429 -0.003131022 -0.009036906 - actual$covM1$Item20[2, ] -0.043372652 0.034124766 0.003157569 -0.008551209 0.004963584 + expected$covM1$Item20[2, ] -0.043373810 0.034125661 0.003158057 -0.008551688 0.004963632 - actual$covM1$Item20[3, ] -0.003913666 0.003157569 0.049859178 -0.036112465 -0.002149369 + expected$covM1$Item20[3, ] -0.003914429 0.003158057 0.049859915 -0.036113052 -0.002149283 - actual$covM1$Item20[4, ] -0.003131662 -0.008551209 -0.036112465 0.051472487 0.002149445 + expected$covM1$Item20[4, ] -0.003131022 -0.008551688 -0.036113052 0.051473174 0.002149365 - actual$covM1$Item20[5, ] -0.009036865 0.004963584 -0.002149369 0.002149445 0.001379439 + expected$covM1$Item20[5, ] -0.009036906 0.004963632 -0.002149283 0.002149365 0.001379424 ── Failure ('test-difNLR.R:90:3'): difNLR - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.1648098 0.8741076 0.0000000 0.0000000 0.0312352 `expected$nlrPAR[[19]]`: -0.1647959 0.8741101 0.0000000 0.0000000 0.0312302 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020992 0.16690432 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25443618 0.13941454 0.00000000 0.00000000 0.09722468 `expected$nlrSE[[19]]`: 0.25443417 0.13941390 0.00000000 0.00000000 0.09722515 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020992 0.16690432 0.11558346 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226378 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576915 0.82846614 0.07274197 0.11401518 0.20008979 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951090 0.22840255 0.16653679 0.17824102 0.18525771 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389652 - 0.317389648 [1] [2] 0.180970627 - 0.180970873 [2] [3] 0.126195456 - 0.126195564 [3] [4] 0.161661699 - 0.161661852 [4] [5] 0.088776085 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267653 -0.04957514 -0.009803337 0.005316360 -0.058633985 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575139 0.05216772 -0.013482942 -0.025705004 0.035057791 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803337 -0.01348294 0.027734503 0.018707553 -0.003097784 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316360 -0.02570500 0.018707553 0.031769863 -0.009151661 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633985 0.03505779 -0.003097784 -0.009151661 0.034320418 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736191 -0.045897301 -0.0097905630 -0.003091693 -0.0270592881 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897301 0.032750368 0.0029241532 -0.009602347 0.0127859117 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790563 0.002924153 0.0159252931 -0.003765778 0.0005707833 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091693 -0.009602347 -0.0037657784 0.026134505 0.0014824507 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059288 0.012785912 0.0005707833 0.001482451 0.0078811934 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 ── Failure ('test-difNLR.R:98:3'): difNLR - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: `actual$nlrPAR[[1]]`: -0.0950500 0.7675608 -1.3854130 0.1474743 0.2719928 `expected$nlrPAR[[1]]`: -0.0950318 0.7675551 -1.3853765 0.1474499 0.2719871 `actual$nlrPAR[[2]]`: 0.17747560 0.33034907 -0.45089839 0.43126028 0.15035883 `expected$nlrPAR[[2]]`: 0.17747325 0.33034970 -0.45089925 0.43126047 0.15035986 `actual$nlrPAR[[3]]`: 1.0165721 0.6805808 0.0000000 0.0000000 0.0000000 `expected$nlrPAR[[3]]`: 1.0165679 0.6805781 0.0000000 0.0000000 0.0000000 `actual$nlrPAR[[4]]`: 1.39171095 0.65744092 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[4]]`: 1.39171110 0.65744125 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[5]]`: 1.1968005 1.0464023 0.0000000 0.0000000 0.3094093 `expected$nlrPAR[[5]]`: 1.1968719 1.0463985 0.0000000 0.0000000 0.3093908 `actual$nlrPAR[[8]]`: 0.1759288 0.8545371 0.0000000 0.0000000 0.1699841 `expected$nlrPAR[[8]]`: 0.1759261 0.8545392 0.0000000 0.0000000 0.1699853 actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 0.142465671 - 0.142465809 [1] [2] 0.707851165 - 0.707851149 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.099593423 - 0.099593368 [5] `actual$nlrPAR[[12]]`: -0.53039326 1.06600482 0.00000000 0.00000000 0.25277034 `expected$nlrPAR[[12]]`: -0.53039435 1.06600537 0.00000000 0.00000000 0.25277057 actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] 0.517161361 - 0.517161486 [1] [2] 0.880409704 - 0.880409640 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.340100107 - 0.340100060 [5] `actual$nlrPAR[[14]]`: -0.4198810 0.8991332 0.0000000 0.0000000 0.0533574 `expected$nlrPAR[[14]]`: -0.4198840 0.8991370 0.0000000 0.0000000 0.0533584 `actual$nlrPAR[[17]]`: -0.4750199 0.6921094 0.0000000 0.0000000 0.0946668 `expected$nlrPAR[[17]]`: -0.4750056 0.6921186 0.0000000 0.0000000 0.0946586 actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -0.085782740 - -0.085782781 [1] [2] 0.871750163 - 0.871749674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[20]]`: -1.25973105 1.26729376 0.00000000 0.00000000 0.18778897 `expected$nlrPAR[[20]]`: -1.25973337 1.26729522 0.00000000 0.00000000 0.18778928 `actual$nlrSE[[1]]`: 0.23045570 0.14771016 0.38153463 0.25929707 0.06557576 `expected$nlrSE[[1]]`: 0.23046195 0.14771042 0.38152641 0.25928939 0.06557929 `actual$nlrSE[[2]]`: 0.37031832 0.09615123 0.17527921 0.19942657 0.16393353 `expected$nlrSE[[2]]`: 0.37031778 0.09615136 0.17527950 0.19942676 0.16393288 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.561376367 - 0.561379319 [1] [2] 0.162322332 - 0.162322355 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.396275986 - 0.396277628 [5] actual$nlrSE[[4]] | expected$nlrSE[[4]] [1] 0.786590638 - 0.786589939 [1] [2] 0.176495614 - 0.176495610 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.616507109 - 0.616506584 [5] `actual$nlrSE[[5]]`: 0.3121515 0.1896699 0.0000000 0.0000000 0.1574947 `expected$nlrSE[[5]]`: 0.3121573 0.1896687 0.0000000 0.0000000 0.1575059 `actual$nlrSE[[8]]`: 0.31461130 0.16402558 0.00000000 0.00000000 0.12542081 `expected$nlrSE[[8]]`: 0.31461036 0.16402569 0.00000000 0.00000000 0.12542001 actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.392222670 - 0.392222569 [1] [2] 0.159816994 - 0.159816927 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.172290131 - 0.172290105 [5] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.271563029 - 0.271563040 [1] [2] 0.185524692 - 0.185524778 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.060554386 - 0.060554319 [5] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.380400043 - 0.380400034 [1] [2] 0.196782418 - 0.196782426 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.142054522 - 0.142054552 [5] `actual$nlrSE[[14]]`: 0.24847628 0.14196368 0.00000000 0.00000000 0.07883861 `expected$nlrSE[[14]]`: 0.24847538 0.14196380 0.00000000 0.00000000 0.07883802 `actual$nlrSE[[17]]`: 0.3731276 0.1613588 0.0000000 0.0000000 0.1155512 `expected$nlrSE[[17]]`: 0.3731176 0.1613565 0.0000000 0.0000000 0.1155499 actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.244974713 - 0.244974837 [1] [2] 0.134093612 - 0.134093562 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.101332803 - 0.101332861 [5] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.255781828 - 0.255781919 [1] [2] 0.184592886 - 0.184593058 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.036209298 - 0.036209230 [5] `actual$parM0$Item2`: -0.492241 0.673369 0.294336 `expected$parM0$Item2`: -0.492198 0.673352 0.294326 `actual$parM0$Item3`: 1.0165721 0.6805808 0.0000000 `expected$parM0$Item3`: 1.0165679 0.6805781 0.0000000 `actual$parM0$Item4`: 1.39171095 0.65744092 0.00000000 `expected$parM0$Item4`: 1.39171110 0.65744125 0.00000000 `actual$parM0$Item5`: 1.1968005 1.0464023 0.3094093 `expected$parM0$Item5`: 1.1968719 1.0463985 0.3093908 `actual$parM0$Item8`: 0.1759288 0.8545371 0.1699841 `expected$parM0$Item8`: 0.1759261 0.8545392 0.1699853 `actual$parM0$Item9`: 0.142465671 0.707851165 0.099593423 `expected$parM0$Item9`: 0.142465809 0.707851149 0.099593368 `actual$parM0$Item12`: -0.53039326 1.06600482 0.25277034 `expected$parM0$Item12`: -0.53039435 1.06600537 0.25277057 `actual$parM0$Item13`: 0.517161361 0.880409704 0.340100107 `expected$parM0$Item13`: 0.517161486 0.880409640 0.340100060 `actual$parM0$Item14`: -0.4198810 0.8991332 0.0533574 `expected$parM0$Item14`: -0.4198840 0.8991370 0.0533584 `actual$parM0$Item17`: -0.4750199 0.6921094 0.0946668 `expected$parM0$Item17`: -0.4750056 0.6921186 0.0946586 `actual$parM0$Item19`: -0.085782740 0.871750163 0.000000000 `expected$parM0$Item19`: -0.085782781 0.871749674 0.000000000 `actual$parM0$Item20`: -1.25973105 1.26729376 0.18778897 `expected$parM0$Item20`: -1.25973337 1.26729522 0.18778928 `actual$seM0$Item2`: 0.5038712 0.2120810 0.1208776 `expected$seM0$Item2`: 0.5038819 0.2120789 0.1208859 `actual$seM0$Item3`: 0.561376367 0.162322332 0.396275986 `expected$seM0$Item3`: 0.561379319 0.162322355 0.396277628 `actual$seM0$Item4`: 0.786590638 0.176495614 0.616507109 `expected$seM0$Item4`: 0.786589939 0.176495610 0.616506584 `actual$seM0$Item5`: 0.3121515 0.1896699 0.1574947 `expected$seM0$Item5`: 0.3121573 0.1896687 0.1575059 `actual$seM0$Item8`: 0.31461130 0.16402558 0.12542081 `expected$seM0$Item8`: 0.31461036 0.16402569 0.12542001 `actual$seM0$Item9`: 0.392222670 0.159816994 0.172290131 `expected$seM0$Item9`: 0.392222569 0.159816927 0.172290105 `actual$seM0$Item12`: 0.271563029 0.185524692 0.060554386 `expected$seM0$Item12`: 0.271563040 0.185524778 0.060554319 `actual$seM0$Item13`: 0.380400043 0.196782418 0.142054522 `expected$seM0$Item13`: 0.380400034 0.196782426 0.142054552 `actual$seM0$Item14`: 0.24847628 0.14196368 0.07883861 `expected$seM0$Item14`: 0.24847538 0.14196380 0.07883802 `actual$seM0$Item17`: 0.3731276 0.1613588 0.1155512 `expected$seM0$Item17`: 0.3731176 0.1613565 0.1155499 `actual$seM0$Item19`: 0.244974713 0.134093612 0.101332803 `expected$seM0$Item19`: 0.244974837 0.134093562 0.101332861 `actual$seM0$Item20`: 0.255781828 0.184592886 0.036209298 `expected$seM0$Item20`: 0.255781919 0.184593058 0.036209230 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.25388614 -0.09882608 -0.06027589 + expected$covM0$Item2[1, ] 0.25389693 -0.09882746 -0.06028137 - actual$covM0$Item2[2, ] -0.09882608 0.04497835 0.02358807 + expected$covM0$Item2[2, ] -0.09882746 0.04497747 0.02358955 - actual$covM0$Item2[3, ] -0.06027589 0.02358807 0.01461140 + expected$covM0$Item2[3, ] -0.06028137 0.02358955 0.01461340 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.31514343 -0.08306081 -0.22132749 + expected$covM0$Item3[1, ] 0.31514674 -0.08306132 -0.22132959 - actual$covM0$Item3[2, ] -0.08306081 0.02634854 0.06001011 + expected$covM0$Item3[2, ] -0.08306132 0.02634855 0.06001039 - actual$covM0$Item3[3, ] -0.22132749 0.06001011 0.15703466 + expected$covM0$Item3[3, ] -0.22132959 0.06001039 0.15703596 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.6187248 -0.1277062 -0.4833249 + expected$covM0$Item4[1, ] 0.6187237 -0.1277061 -0.4833241 - actual$covM0$Item4[2, ] -0.1277062 0.0311507 0.1021376 + expected$covM0$Item4[2, ] -0.1277061 0.0311507 0.1021375 - actual$covM0$Item4[3, ] -0.4833249 0.1021376 0.3800810 + expected$covM0$Item4[3, ] -0.4833241 0.1021375 0.3800804 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] - actual$covM0$Item5[1, ] 0.09743854 -0.04563642 -0.04735315 + expected$covM0$Item5[1, ] 0.09744219 -0.04563701 -0.04735744 - actual$covM0$Item5[2, ] -0.04563642 0.03597466 0.02629826 + expected$covM0$Item5[2, ] -0.04563701 0.03597422 0.02630002 - actual$covM0$Item5[3, ] -0.04735315 0.02629826 0.02480457 + expected$covM0$Item5[3, ] -0.04735744 0.02630002 0.02480811 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.09898027 -0.04505290 -0.03880027 + expected$covM0$Item8[1, ] 0.09897968 -0.04505277 -0.03879990 - actual$covM0$Item8[2, ] -0.04505290 0.02690439 0.01843049 + expected$covM0$Item8[2, ] -0.04505277 0.02690443 0.01843037 - actual$covM0$Item8[3, ] -0.03880027 0.01843049 0.01573038 + expected$covM0$Item8[3, ] -0.03879990 0.01843037 0.01573018 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] - actual$covM0$Item9[1, ] 0.15383862 -0.05695754 -0.06697651 + expected$covM0$Item9[1, ] 0.15383854 -0.05695750 -0.06697649 - actual$covM0$Item9[2, ] -0.05695754 0.02554147 0.02534783 + expected$covM0$Item9[2, ] -0.05695750 0.02554145 0.02534782 - actual$covM0$Item9[3, ] -0.06697651 0.02534783 0.02968389 + expected$covM0$Item9[3, ] -0.06697649 0.02534782 0.02968388 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.07374648 -0.043458767 -0.015817356 + expected$covM0$Item12[1, ] 0.07374648 -0.043458788 -0.015817338 - actual$covM0$Item12[2, ] -0.04345877 0.034419411 0.009491804 + expected$covM0$Item12[2, ] -0.04345879 0.034419443 0.009491796 - actual$covM0$Item12[3, ] -0.01581736 0.009491804 0.003666834 + expected$covM0$Item12[3, ] -0.01581734 0.009491796 0.003666825 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] - actual$covM0$Item13[1, ] 0.14470419 -0.06411145 -0.05308457 + expected$covM0$Item13[1, ] 0.14470419 -0.06411146 -0.05308458 - actual$covM0$Item13[2, ] -0.06411145 0.03872332 0.02506125 + expected$covM0$Item13[2, ] -0.06411146 0.03872332 0.02506126 - actual$covM0$Item13[3, ] -0.05308457 0.02506125 0.02017949 + expected$covM0$Item13[3, ] -0.05308458 0.02506126 0.02017950 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] - actual$covM0$Item14[1, ] 0.06174046 -0.031191598 -0.019131446 + expected$covM0$Item14[1, ] 0.06174001 -0.031191489 -0.019131226 - actual$covM0$Item14[2, ] -0.03119160 0.020153687 0.009830179 + expected$covM0$Item14[2, ] -0.03119149 0.020153719 0.009830104 - actual$covM0$Item14[3, ] -0.01913145 0.009830179 0.006215527 + expected$covM0$Item14[3, ] -0.01913123 0.009830104 0.006215433 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.13922421 -0.05547218 -0.04263383 + expected$covM0$Item17[1, ] 0.13921674 -0.05546980 -0.04263220 - actual$covM0$Item17[2, ] -0.05547218 0.02603666 0.01709334 + expected$covM0$Item17[2, ] -0.05546980 0.02603592 0.01709288 - actual$covM0$Item17[3, ] -0.04263383 0.01709334 0.01335208 + expected$covM0$Item17[3, ] -0.04263220 0.01709288 0.01335178 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06001261 -0.02881973 -0.02435262 + expected$covM0$Item19[1, ] 0.06001267 -0.02881973 -0.02435265 - actual$covM0$Item19[2, ] -0.02881973 0.01798110 0.01207762 + expected$covM0$Item19[2, ] -0.02881973 0.01798108 0.01207762 - actual$covM0$Item19[3, ] -0.02435262 0.01207762 0.01026834 + expected$covM0$Item19[3, ] -0.02435265 0.01207762 0.01026835 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.065424344 -0.041787111 -0.008554947 + expected$covM0$Item20[1, ] 0.065424390 -0.041787167 -0.008554931 - actual$covM0$Item20[2, ] -0.041787111 0.034074533 0.005282492 + expected$covM0$Item20[2, ] -0.041787167 0.034074597 0.005282484 - actual$covM0$Item20[3, ] -0.008554947 0.005282492 0.001311113 + expected$covM0$Item20[3, ] -0.008554931 0.005282484 0.001311108 `actual$parM1$Item1`: -0.0950500 0.7675608 -1.3854130 0.1474743 0.2719928 `expected$parM1$Item1`: -0.0950318 0.7675551 -1.3853765 0.1474499 0.2719871 `actual$parM1$Item2`: 0.17747560 0.33034907 -0.45089839 0.43126028 0.15035883 `expected$parM1$Item2`: 0.17747325 0.33034970 -0.45089925 0.43126047 0.15035986 `actual$parM1$Item3`: 1.01369487 0.67988511 0.00565051 0.00104043 0.00000000 `expected$parM1$Item3`: 1.01369410 0.67988372 0.00565186 0.00104274 0.00000000 `actual$parM1$Item5`: 1.3629079 1.1253497 -0.2136835 -0.1836378 0.2851069 `expected$parM1$Item5`: 1.3627663 1.1254068 -0.2136888 -0.1836148 0.2851816 `actual$parM1$Item10`: 0.17943969 0.70636405 0.02973195 -0.06106847 0.06867068 `expected$parM1$Item10`: 0.17944634 0.70636043 0.02973153 -0.06106686 0.06866758 `actual$parM1$Item12`: -0.4893842 0.9968555 -0.0075253 0.0918231 0.2442094 `expected$parM1$Item12`: -0.4894135 0.9968782 -0.0075184 0.0918095 0.2442153 `actual$parM1$Item13`: 0.6211551 0.6973605 0.1465248 0.2379825 0.2686918 `expected$parM1$Item13`: 0.6211978 0.6973566 0.1465234 0.2379552 0.2686729 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.42472037 - -0.42471865 [1] [2] 0.93061891 - 0.93061854 [2] [3] 0.04522308 - 0.04522363 [3] [4] -0.08015718 - -0.08015824 [4] [5] 0.04811013 - 0.04810951 [5] `actual$parM1$Item17`: -0.5549889 0.7173053 0.1348331 -0.0442820 0.0984422 `expected$parM1$Item17`: -0.5549594 0.7172935 0.1348299 -0.0442795 0.0984338 actual$parM1$Item19 | expected$parM1$Item19 [1] -0.13845157 - -0.13845342 [1] [2] 0.99122468 - 0.99122570 [2] [3] 0.06439740 - 0.06439766 [3] [4] -0.20934629 - -0.20934661 [4] [5] 0.00878979 - 0.00879049 [5] actual$parM1$Item20 | expected$parM1$Item20 [1] -0.976892794 - -0.976893389 [1] [2] 1.117935526 - 1.117935456 [2] [3] -0.419267141 - -0.419267083 [3] [4] 0.218094325 - 0.218094691 [4] [5] 0.175380757 - 0.175380840 [5] `actual$seM1$Item1`: 0.23045570 0.14771016 0.38153463 0.25929707 0.06557576 `expected$seM1$Item1`: 0.23046195 0.14771042 0.38152641 0.25928939 0.06557929 `actual$seM1$Item2`: 0.37031832 0.09615123 0.17527921 0.19942657 0.16393353 `expected$seM1$Item2`: 0.37031778 0.09615136 0.17527950 0.19942676 0.16393288 actual$seM1$Item3 | expected$seM1$Item3 [1] 0.564673557 - 0.564674087 [1] [2] 0.174822180 - 0.174822109 [2] [3] 0.113252781 - 0.113252466 [3] [4] 0.117237609 - 0.117236851 [4] [5] 0.397086911 - 0.397087291 [5] `actual$seM1$Item5`: 0.3155939 0.2275056 0.1714726 0.1809353 0.1689482 `expected$seM1$Item5`: 0.3155618 0.2275156 0.1714786 0.1809508 0.1689023 `actual$seM1$Item10`: 0.42069160 0.18007304 0.10141324 0.12184142 0.19374685 `expected$seM1$Item10`: 0.42069389 0.18007254 0.10141286 0.12184073 0.19374938 `actual$seM1$Item12`: 0.28091062 0.20172956 0.14449914 0.19274043 0.06364553 `expected$seM1$Item12`: 0.28091097 0.20173397 0.14450228 0.19274431 0.06364346 `actual$seM1$Item13`: 0.42678284 0.17186944 0.13572401 0.16560677 0.18780672 `expected$seM1$Item13`: 0.42679914 0.17187031 0.13572219 0.16559988 0.18782254 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.260152155 - 0.260152196 [1] [2] 0.167126117 - 0.167126056 [2] [3] 0.106401000 - 0.106400876 [3] [4] 0.136296724 - 0.136296582 [4] [5] 0.080290438 - 0.080290613 [5] `actual$seM1$Item17`: 0.3921228 0.1878402 0.1182602 0.1336852 0.1127314 `expected$seM1$Item17`: 0.3921263 0.1878383 0.1182578 0.1336826 0.1127361 `actual$seM1$Item19`: 0.24883109 0.16991491 0.09820324 0.13443801 0.09448116 `expected$seM1$Item19`: 0.24883122 0.16991525 0.09820338 0.13443819 0.09448100 actual$seM1$Item20 | expected$seM1$Item20 [1] 0.232092186 - 0.232092242 [1] [2] 0.184527247 - 0.184527265 [2] [3] 0.198007056 - 0.198007134 [3] [4] 0.219756138 - 0.219756197 [4] [5] 0.038219453 - 0.038219442 [5] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.05310983 -0.019746955 0.06058624 -0.034697758 -0.013813809 + expected$covM1$Item1[1, ] 0.05311271 -0.019747970 0.06058773 -0.034698036 -0.013815028 - actual$covM1$Item1[2, ] -0.01974696 0.021818292 -0.03029934 0.002146971 0.006080509 + expected$covM1$Item1[2, ] -0.01974797 0.021818367 -0.03029972 0.002147209 0.006080981 - actual$covM1$Item1[3, ] 0.06058624 -0.030299340 0.14556867 -0.073322931 -0.021579298 + expected$covM1$Item1[3, ] 0.06058773 -0.030299717 0.14556240 -0.073318252 -0.021580128 - actual$covM1$Item1[4, ] -0.03469776 0.002146971 -0.07332293 0.067234968 0.010867901 + expected$covM1$Item1[4, ] -0.03469804 0.002147209 -0.07331825 0.067230989 0.010868161 - actual$covM1$Item1[5, ] -0.01381381 0.006080509 -0.02157930 0.010867901 0.004300180 + expected$covM1$Item1[5, ] -0.01381503 0.006080981 -0.02158013 0.010868161 0.004300643 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.13713566 -0.020291531 0.043707188 -0.056503231 -0.059470292 + expected$covM1$Item2[1, ] 0.13713526 -0.020291533 0.043707184 -0.056503164 -0.059469963 - actual$covM1$Item2[2, ] -0.02029153 0.009245059 -0.008364482 0.002923693 0.009423549 + expected$covM1$Item2[2, ] -0.02029153 0.009245084 -0.008364505 0.002923694 0.009423526 - actual$covM1$Item2[3, ] 0.04370719 -0.008364482 0.030722801 -0.021992146 -0.022251304 + expected$covM1$Item2[3, ] 0.04370718 -0.008364505 0.030722904 -0.021992215 -0.022251254 - actual$covM1$Item2[4, ] -0.05650323 0.002923693 -0.021992146 0.039770956 0.025279457 + expected$covM1$Item2[4, ] -0.05650316 0.002923694 -0.021992215 0.039771032 0.025279367 - actual$covM1$Item2[5, ] -0.05947029 0.009423549 -0.022251304 0.025279457 0.026874202 + expected$covM1$Item2[5, ] -0.05946996 0.009423526 -0.022251254 0.025279367 0.026873988 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item3[1, ] 3.188562e-01 -0.083131940 -0.0057166937 5.287555e-08 -0.2219287758 + expected$covM1$Item3[1, ] 3.188568e-01 -0.083132010 -0.0057166720 -4.264033e-08 -0.2219292047 - actual$covM1$Item3[2, ] -8.313194e-02 0.030562795 -0.0034379108 -7.580351e-03 0.0613538912 + expected$covM1$Item3[2, ] -8.313201e-02 0.030562770 -0.0034378843 -7.580260e-03 0.0613539328 - actual$covM1$Item3[3, ] -5.716694e-03 -0.003437911 0.0128261925 6.078669e-03 -0.0005535250 + expected$covM1$Item3[3, ] -5.716672e-03 -0.003437884 0.0128261212 6.078587e-03 -0.0005535207 - actual$covM1$Item3[4, ] 5.287555e-08 -0.007580351 0.0060786692 1.374466e-02 -0.0022895756 + expected$covM1$Item3[4, ] -4.264033e-08 -0.007580260 0.0060785874 1.374448e-02 -0.0022894820 - actual$covM1$Item3[5, ] -2.219288e-01 0.061353891 -0.0005535250 -2.289576e-03 0.1576780149 + expected$covM1$Item3[5, ] -2.219292e-01 0.061353933 -0.0005535207 -2.289482e-03 0.1576783169 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.0995995061 -0.04196947 -0.007222726 0.0009316693 -0.048656575 + expected$covM1$Item5[1, ] 0.0995792181 -0.04196233 -0.007225561 0.0009264523 -0.048637046 - actual$covM1$Item5[2, ] -0.0419694661 0.05175882 -0.017628040 -0.0252830159 0.031391115 + expected$covM1$Item5[2, ] -0.0419623301 0.05176333 -0.017628899 -0.0252849185 0.031383069 - actual$covM1$Item5[3, ] -0.0072227263 -0.01762804 0.029402845 0.0198612973 -0.005534599 + expected$covM1$Item5[3, ] -0.0072255609 -0.01762890 0.029404904 0.0198626337 -0.005532826 - actual$covM1$Item5[4, ] 0.0009316693 -0.02528302 0.019861297 0.0327375986 -0.007317035 + expected$covM1$Item5[4, ] 0.0009264523 -0.02528492 0.019862634 0.0327432078 -0.007313550 - actual$covM1$Item5[5, ] -0.0486565746 0.03139112 -0.005534599 -0.0073170346 0.028543501 + expected$covM1$Item5[5, ] -0.0486370463 0.03138307 -0.005532826 -0.0073135497 0.028527972 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item10[1, ] 0.17698142 -0.0649552020 -0.0094121898 0.0102137929 -0.080307203 + expected$covM1$Item10[1, ] 0.17698335 -0.0649554343 -0.0094120904 0.0102136514 -0.080308713 - actual$covM1$Item10[2, ] -0.06495520 0.0324263001 0.0008082119 -0.0114708046 0.030742310 + expected$covM1$Item10[2, ] -0.06495543 0.0324261206 0.0008081642 -0.0114706413 0.030742651 - actual$covM1$Item10[3, ] -0.00941219 0.0008082119 0.0102846450 0.0008976238 0.001980643 + expected$covM1$Item10[3, ] -0.00941209 0.0008081642 0.0102845680 0.0008976557 0.001980628 - actual$covM1$Item10[4, ] 0.01021379 -0.0114708046 0.0008976238 0.0148453305 -0.005154640 + expected$covM1$Item10[4, ] 0.01021365 -0.0114706413 0.0008976557 0.0148451629 -0.005154617 - actual$covM1$Item10[5, ] -0.08030720 0.0307423099 0.0019806430 -0.0051546397 0.037537840 + expected$covM1$Item10[5, ] -0.08030871 0.0307426511 0.0019806284 -0.0051546169 0.037538822 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.078910776 -0.043597228 -0.0093224730 0.0019829964 -0.0166946182 + expected$covM1$Item12[1, ] 0.078910974 -0.043598321 -0.0093234464 0.0019843210 -0.0166940467 - actual$covM1$Item12[2, ] -0.043597228 0.040694817 0.0032421291 -0.0165622216 0.0096814130 + expected$covM1$Item12[2, ] -0.043598321 0.040696593 0.0032428639 -0.0165636486 0.0096812733 - actual$covM1$Item12[3, ] -0.009322473 0.003242129 0.0208800012 -0.0088561270 -0.0001901599 + expected$covM1$Item12[3, ] -0.009323446 0.003242864 0.0208809101 -0.0088569279 -0.0001900326 - actual$covM1$Item12[4, ] 0.001982996 -0.016562222 -0.0088561270 0.0371488726 0.0004157889 + expected$covM1$Item12[4, ] 0.001984321 -0.016563649 -0.0088569279 0.0371503701 0.0004155639 - actual$covM1$Item12[5, ] -0.016694618 0.009681413 -0.0001901599 0.0004157889 0.0040507530 + expected$covM1$Item12[5, ] -0.016694047 0.009681273 -0.0001900326 0.0004155639 0.0040504903 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.18214360 -0.055147697 -0.014336168 -0.025672847 -0.078334750 + expected$covM1$Item13[1, ] 0.18215751 -0.055151077 -0.014336654 -0.025670903 -0.078344523 - actual$covM1$Item13[2, ] -0.05514770 0.029539105 -0.001065868 -0.002465149 0.026241244 + expected$covM1$Item13[2, ] -0.05515108 0.029539403 -0.001065743 -0.002465563 0.026243937 - actual$covM1$Item13[3, ] -0.01433617 -0.001065868 0.018421006 0.008668532 0.002777005 + expected$covM1$Item13[3, ] -0.01433665 -0.001065743 0.018420513 0.008668443 0.002777432 - actual$covM1$Item13[4, ] -0.02567285 -0.002465149 0.008668532 0.027425602 0.010149386 + expected$covM1$Item13[4, ] -0.02567090 -0.002465563 0.008668443 0.027423321 0.010148929 - actual$covM1$Item13[5, ] -0.07833475 0.026241244 0.002777005 0.010149386 0.035271365 + expected$covM1$Item13[5, ] -0.07834452 0.026243937 0.002777432 0.010148929 0.035277306 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.067679144 -0.035427247 -0.0088073810 0.007413701 -0.0199846505 + expected$covM1$Item14[1, ] 0.067679165 -0.035427246 -0.0088073978 0.007413743 -0.0199846997 - actual$covM1$Item14[2, ] -0.035427247 0.027931139 0.0033840662 -0.012683708 0.0108774012 + expected$covM1$Item14[2, ] -0.035427246 0.027931119 0.0033840700 -0.012683717 0.0108774251 - actual$covM1$Item14[3, ] -0.008807381 0.003384066 0.0113211728 -0.003782342 0.0009940749 + expected$covM1$Item14[3, ] -0.008807398 0.003384070 0.0113211464 -0.003782317 0.0009940865 - actual$covM1$Item14[4, ] 0.007413701 -0.012683708 -0.0037823417 0.018576797 -0.0018409236 + expected$covM1$Item14[4, ] 0.007413743 -0.012683717 -0.0037823172 0.018576758 -0.0018409446 - actual$covM1$Item14[5, ] -0.019984651 0.010877401 0.0009940749 -0.001840924 0.0064465544 + expected$covM1$Item14[5, ] -0.019984700 0.010877425 0.0009940865 -0.001840945 0.0064465825 actual$covM1$Item17 vs expected$covM1$Item17 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item17[1, ] 0.15376031 -0.064320221 -0.020688651 0.013506428 -0.043248308 + expected$covM1$Item17[1, ] 0.15376302 -0.064320252 -0.020688173 0.013506047 -0.043250537 - actual$covM1$Item17[2, ] -0.06432022 0.035283930 0.007932106 -0.013751966 0.018326145 + expected$covM1$Item17[2, ] -0.06432025 0.035283217 0.007931711 -0.013751433 0.018326789 - actual$covM1$Item17[3, ] -0.02068865 0.007932106 0.013985484 -0.004858570 0.004145658 + expected$covM1$Item17[3, ] -0.02068817 0.007931711 0.013984918 -0.004858138 0.004145730 - actual$covM1$Item17[4, ] 0.01350643 -0.013751966 -0.004858570 0.017871743 -0.003394687 + expected$covM1$Item17[4, ] 0.01350605 -0.013751433 -0.004858138 0.017871025 -0.003394744 - actual$covM1$Item17[5, ] -0.04324831 0.018326145 0.004145658 -0.003394687 0.012708366 + expected$covM1$Item17[5, ] -0.04325054 0.018326789 0.004145730 -0.003394744 0.012709418 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.061916911 -0.033995642 -0.009297743 0.011445861 -0.022559556 + expected$covM1$Item19[1, ] 0.061916974 -0.033995739 -0.009297808 0.011445886 -0.022559528 - actual$covM1$Item19[2, ] -0.033995642 0.028871077 0.003012559 -0.015593374 0.013283460 + expected$covM1$Item19[2, ] -0.033995739 0.028871191 0.003012605 -0.015593422 0.013283466 - actual$covM1$Item19[3, ] -0.009297743 0.003012559 0.009643876 -0.001762170 0.001738446 + expected$covM1$Item19[3, ] -0.009297808 0.003012605 0.009643903 -0.001762197 0.001738464 - actual$covM1$Item19[4, ] 0.011445861 -0.015593374 -0.001762170 0.018073579 -0.004360638 + expected$covM1$Item19[4, ] 0.011445886 -0.015593422 -0.001762197 0.018073626 -0.004360635 - actual$covM1$Item19[5, ] -0.022559556 0.013283460 0.001738446 -0.004360638 0.008926690 + expected$covM1$Item19[5, ] -0.022559528 0.013283466 0.001738464 -0.004360635 0.008926660 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.0538667829 -0.0330202578 0.0001421147 -0.0001651625 -0.007745174 + expected$covM1$Item20[1, ] 0.0538668090 -0.0330202716 0.0001421085 -0.0001651634 -0.007745174 - actual$covM1$Item20[2, ] -0.0330202578 0.0340503047 0.0004877046 -0.0140608863 0.004665348 + expected$covM1$Item20[2, ] -0.0330202716 0.0340503117 0.0004877116 -0.0140608873 0.004665347 - actual$covM1$Item20[3, ] 0.0001421147 0.0004877046 0.0392067941 -0.0286260385 -0.002440811 + expected$covM1$Item20[3, ] 0.0001421085 0.0004877116 0.0392068249 -0.0286260662 -0.002440811 - actual$covM1$Item20[4, ] -0.0001651625 -0.0140608863 -0.0286260385 0.0482927601 0.001593365 + expected$covM1$Item20[4, ] -0.0001651634 -0.0140608873 -0.0286260662 0.0482927862 0.001593366 - actual$covM1$Item20[5, ] -0.0077451743 0.0046653479 -0.0024408112 0.0015933655 0.001460727 + expected$covM1$Item20[5, ] -0.0077451736 0.0046653468 -0.0024408107 0.0015933663 0.001460726 `actual$conv.fail`: 1 `expected$conv.fail`: 0 ── Failure ('test-difNLR.R:105:3'): difNLR - examples at help page ───────────── Expected `fit7` to equal `fit7_expected`. Differences: `actual$nlrPAR[[1]]`: -3.8478823 0.3609693 -0.7819795 -0.0207749 0.1105542 `expected$nlrPAR[[1]]`: -3.8479141 0.3609711 -0.7820284 -0.0207717 0.1105592 `actual$nlrPAR[[3]]`: -1.50442575 0.21710495 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: -1.50442470 0.21710482 0.00000000 0.00000000 0.00000000 actual$nlrPAR[[7]] | expected$nlrPAR[[7]] [1] -2.129766513 - -2.129766291 [1] [2] 0.231768207 - 0.231768187 [2] [3] 0.491043277 - 0.491042882 [3] [4] -0.020552534 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[8]]`: -2.9441516 0.2646362 0.0000000 0.0000000 0.1885606 `expected$nlrPAR[[8]]`: -2.9441293 0.2646350 0.0000000 0.0000000 0.1885574 `actual$nlrPAR[[12]]`: -3.69708888 0.28906317 0.00000000 0.00000000 0.20920290 `expected$nlrPAR[[12]]`: -3.69708539 0.28906297 0.00000000 0.00000000 0.20920259 actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -3.761189285 - -3.761189457 [1] [2] 0.283317057 - 0.283317067 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.071987400 - 0.071987417 [5] `actual$nlrPAR[[15]]`: -2.13321085 0.19220963 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[15]]`: -2.13320915 0.19220947 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[17]]`: -3.0787915 0.2204804 0.0000000 0.0000000 0.1095429 `expected$nlrPAR[[17]]`: -3.0787600 0.2204790 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -4.318486592 - -4.318486900 [1] [2] 0.326161178 - 0.326161197 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234264 - 0.029234292 [5] actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -4.357172480 - -4.357172279 [1] [2] 0.345309493 - 0.345309480 [2] [3] 1.232103561 - 1.232103497 [3] [4] -0.090239181 - -0.090239176 [4] [5] 0.062958417 - 0.062958401 [5] `actual$nlrPAR[[20]]`: -6.0640330 0.4059122 0.0000000 0.0000000 0.2041045 `expected$nlrPAR[[20]]`: -6.0639790 0.4059089 0.0000000 0.0000000 0.2041026 `actual$nlrSE[[1]]`: 0.65707772 0.04822281 0.70992666 0.05500992 0.06621477 `expected$nlrSE[[1]]`: 0.65707729 0.04822294 0.70993948 0.05501078 0.06621312 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 1.175518735 - 1.175519268 [1] [2] 0.053096139 - 0.053096140 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412911046 - 0.412911344 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 1.112354898 - 1.112354869 [1] [2] 0.058267619 - 0.058267613 [2] [3] 0.456091987 - 0.456091925 [3] [4] 0.039381409 - 0.039381404 [4] [5] 0.279594347 - 0.279594362 [5] `actual$nlrSE[[8]]`: 0.95027196 0.05457764 0.00000000 0.00000000 0.13116891 `expected$nlrSE[[8]]`: 0.95027179 0.05457749 0.00000000 0.00000000 0.13117072 actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.933424390 - 0.933424395 [1] [2] 0.056108482 - 0.056108466 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.085355876 - 0.085356029 [5] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.793606682 - 0.793606758 [1] [2] 0.047284327 - 0.047284332 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.079848859 - 0.079848857 [5] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 1.034552523 - 1.034553480 [1] [2] 0.050021205 - 0.050021228 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013205 - 0.230013543 [5] `actual$nlrSE[[17]]`: 0.99559379 0.05373895 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.99559297 0.05373873 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.699329966 - 0.699330191 [1] [2] 0.043735932 - 0.043735945 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792805 - 0.061792814 [5] actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.916940924 - 0.916940837 [1] [2] 0.059762982 - 0.059762973 [2] [3] 0.605290412 - 0.605290343 [3] [4] 0.048573616 - 0.048573610 [4] [5] 0.079909930 - 0.079909936 [5] `actual$nlrSE[[20]]`: 0.96906217 0.06185550 0.00000000 0.00000000 0.03542075 `expected$nlrSE[[20]]`: 0.96905716 0.06185512 0.00000000 0.00000000 0.03542120 `actual$parM0$Item1`: -3.5092425 0.3005453 0.0572135 `expected$parM0$Item1`: -3.5092032 0.3005430 0.0572084 `actual$parM0$Item2`: -4.0065778 0.3426699 0.1509947 `expected$parM0$Item2`: -4.0066112 0.3426718 0.1509981 `actual$parM0$Item3`: -1.50442575 0.21710495 0.00000000 `expected$parM0$Item3`: -1.50442470 0.21710482 0.00000000 `actual$parM0$Item8`: -2.9441516 0.2646362 0.1885606 `expected$parM0$Item8`: -2.9441293 0.2646350 0.1885574 `actual$parM0$Item12`: -3.69708888 0.28906317 0.20920290 `expected$parM0$Item12`: -3.69708539 0.28906297 0.20920259 `actual$parM0$Item14`: -3.761189285 0.283317057 0.071987400 `expected$parM0$Item14`: -3.761189457 0.283317067 0.071987417 `actual$parM0$Item15`: -2.13321085 0.19220963 0.00000000 `expected$parM0$Item15`: -2.13320915 0.19220947 0.00000000 `actual$parM0$Item17`: -3.0787915 0.2204804 0.1095429 `expected$parM0$Item17`: -3.0787600 0.2204790 0.1095386 `actual$parM0$Item18`: -4.318486592 0.326161178 0.029234264 `expected$parM0$Item18`: -4.318486900 0.326161197 0.029234292 `actual$parM0$Item19`: -3.43036259 0.28144039 0.03123523 `expected$parM0$Item19`: -3.43035802 0.28144119 0.03123022 `actual$parM0$Item20`: -6.0640330 0.4059122 0.2041045 `expected$parM0$Item20`: -6.0639790 0.4059089 0.2041026 `actual$seM0$Item1`: 0.75297066 0.04603342 0.09628544 `expected$seM0$Item1`: 0.75296949 0.04603320 0.09628737 `actual$seM0$Item2`: 0.79465951 0.05126671 0.07846187 `expected$seM0$Item2`: 0.79466143 0.05126694 0.07846072 `actual$seM0$Item3`: 1.175518735 0.053096139 0.412911046 `expected$seM0$Item3`: 1.175519268 0.053096140 0.412911344 `actual$seM0$Item8`: 0.95027196 0.05457764 0.13116891 `expected$seM0$Item8`: 0.95027179 0.05457749 0.13117072 `actual$seM0$Item12`: 0.933424390 0.056108482 0.085355876 `expected$seM0$Item12`: 0.933424395 0.056108466 0.085356029 `actual$seM0$Item14`: 0.793606682 0.047284327 0.079848859 `expected$seM0$Item14`: 0.793606758 0.047284332 0.079848857 `actual$seM0$Item15`: 1.034552523 0.050021205 0.230013205 `expected$seM0$Item15`: 1.034553480 0.050021228 0.230013543 `actual$seM0$Item17`: 0.99559379 0.05373895 0.11558346 `expected$seM0$Item17`: 0.99559297 0.05373873 0.11558571 `actual$seM0$Item18`: 0.699329966 0.043735932 0.061792805 `expected$seM0$Item18`: 0.699330191 0.043735945 0.061792814 `actual$seM0$Item19`: 0.75477497 0.04488796 0.09722470 `expected$seM0$Item19`: 0.75476994 0.04488771 0.09722515 `actual$seM0$Item20`: 0.96906217 0.06185550 0.03542075 `expected$seM0$Item20`: 0.96905716 0.06185512 0.03542120 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.56696481 -0.034202903 -0.068082674 + expected$covM0$Item1[1, ] 0.56696306 -0.034202683 -0.068084027 - actual$covM0$Item1[2, ] -0.03420290 0.002119076 0.003905171 + expected$covM0$Item1[2, ] -0.03420268 0.002119056 0.003905237 - actual$covM0$Item1[3, ] -0.06808267 0.003905171 0.009270886 + expected$covM0$Item1[3, ] -0.06808403 0.003905237 0.009271257 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.63148373 -0.040225108 -0.057314597 + expected$covM0$Item2[1, ] 0.63148679 -0.040225389 -0.057313824 - actual$covM0$Item2[2, ] -0.04022511 0.002628275 0.003450945 + expected$covM0$Item2[2, ] -0.04022539 0.002628299 0.003450905 - actual$covM0$Item2[3, ] -0.05731460 0.003450945 0.006156265 + expected$covM0$Item2[3, ] -0.05731382 0.003450905 0.006156085 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 1.38184430 -0.06114684 -0.47841434 + expected$covM0$Item3[1, ] 1.38184555 -0.06114687 -0.47841491 - actual$covM0$Item3[2, ] -0.06114684 0.00281920 0.02050533 + expected$covM0$Item3[2, ] -0.06114687 0.00281920 0.02050535 - actual$covM0$Item3[3, ] -0.47841434 0.02050533 0.17049553 + expected$covM0$Item3[3, ] -0.47841491 0.02050535 0.17049578 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.90301679 -0.051123158 -0.119330533 + expected$covM0$Item8[1, ] 0.90301648 -0.051123005 -0.119332236 - actual$covM0$Item8[2, ] -0.05112316 0.002978719 0.006462680 + expected$covM0$Item8[2, ] -0.05112300 0.002978703 0.006462757 - actual$covM0$Item8[3, ] -0.11933053 0.006462680 0.017205282 + expected$covM0$Item8[3, ] -0.11933224 0.006462757 0.017205757 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.87128109 -0.051748364 -0.074640016 + expected$covM0$Item12[1, ] 0.87128110 -0.051748350 -0.074640161 - actual$covM0$Item12[2, ] -0.05174836 0.003148162 0.004224626 + expected$covM0$Item12[2, ] -0.05174835 0.003148160 0.004224633 - actual$covM0$Item12[3, ] -0.07464002 0.004224626 0.007285626 + expected$covM0$Item12[3, ] -0.07464016 0.004224633 0.007285652 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] - actual$covM0$Item14[1, ] 0.62981157 -0.037094873 -0.059352624 + expected$covM0$Item14[1, ] 0.62981169 -0.037094881 -0.059352628 - actual$covM0$Item14[2, ] -0.03709487 0.002235808 0.003335018 + expected$covM0$Item14[2, ] -0.03709488 0.002235808 0.003335019 - actual$covM0$Item14[3, ] -0.05935262 0.003335018 0.006375840 + expected$covM0$Item14[3, ] -0.05935263 0.003335019 0.006375840 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 1.07029892 -0.051059457 -0.23342173 + expected$covM0$Item15[1, ] 1.07030090 -0.051059528 -0.23342230 - actual$covM0$Item15[2, ] -0.05105946 0.002502121 0.01081663 + expected$covM0$Item15[2, ] -0.05105953 0.002502123 0.01081665 - actual$covM0$Item15[3, ] -0.23342173 0.010816632 0.05290607 + expected$covM0$Item15[3, ] -0.23342230 0.010816654 0.05290623 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.99120700 -0.052906001 -0.110883410 + expected$covM0$Item17[1, ] 0.99120536 -0.052905743 -0.110885568 - actual$covM0$Item17[2, ] -0.05290600 0.002887875 0.005711587 + expected$covM0$Item17[2, ] -0.05290574 0.002887852 0.005711681 - actual$covM0$Item17[3, ] -0.11088341 0.005711587 0.013359536 + expected$covM0$Item17[3, ] -0.11088557 0.005711681 0.013360056 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.48906240 -0.030252560 -0.039490274 + expected$covM0$Item18[1, ] 0.48906272 -0.030252579 -0.039490295 - actual$covM0$Item18[2, ] -0.03025256 0.001912832 0.002316727 + expected$covM0$Item18[2, ] -0.03025258 0.001912833 0.002316728 - actual$covM0$Item18[3, ] -0.03949027 0.002316727 0.003818351 + expected$covM0$Item18[3, ] -0.03949029 0.002316728 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.56968525 -0.033448962 -0.069293632 + expected$covM0$Item19[1, ] 0.56967766 -0.033448548 -0.069293485 - actual$covM0$Item19[2, ] -0.03344896 0.002014929 0.003881098 + expected$covM0$Item19[2, ] -0.03344855 0.002014907 0.003881092 - actual$covM0$Item19[3, ] -0.06929363 0.003881098 0.009452643 + expected$covM0$Item19[3, ] -0.06929348 0.003881092 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.93908149 -0.059453846 -0.029016588 + expected$covM0$Item20[1, ] 0.93907179 -0.059453172 -0.029016892 - actual$covM0$Item20[2, ] -0.05945385 0.003826103 0.001733145 + expected$covM0$Item20[2, ] -0.05945317 0.003826056 0.001733162 - actual$covM0$Item20[3, ] -0.02901659 0.001733145 0.001254629 + expected$covM0$Item20[3, ] -0.02901689 0.001733162 0.001254661 `actual$parM1$Item1`: -3.8478823 0.3609693 -0.7819795 -0.0207749 0.1105542 `expected$parM1$Item1`: -3.8479141 0.3609711 -0.7820284 -0.0207717 0.1105592 actual$parM1$Item4 | expected$parM1$Item4 [1] -0.896087816 - -0.896087752 [1] [2] 0.187019030 - 0.187019025 [2] [3] -0.186268826 - -0.186268972 [3] [4] 0.036040311 - 0.036040325 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: -2.7958770 0.3555762 0.5956864 -0.0596101 0.2681124 `expected$parM1$Item5`: -2.7959261 0.3555784 0.5956690 -0.0596084 0.2681243 actual$parM1$Item7 | expected$parM1$Item7 [1] -2.129766513 - -2.129766291 [1] [2] 0.231768207 - 0.231768187 [2] [3] 0.491043277 - 0.491042882 [3] [4] -0.020552534 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] actual$parM1$Item9 | expected$parM1$Item9 [1] -2.290274718 - -2.290273162 [1] [2] 0.217155694 - 0.217155620 [2] [3] 0.277064738 - 0.277064638 [3] [4] -0.021873580 - -0.021873572 [4] [5] 0.053448573 - 0.053448232 [5] actual$parM1$Item12 | expected$parM1$Item12 [1] -3.44086124 - -3.44082093 [1] [2] 0.26674774 - 0.26674559 [2] [3] -0.35320549 - -0.35319883 [3] [4] 0.03671021 - 0.03670959 [4] [5] 0.20009474 - 0.20009046 [5] actual$parM1$Item13 | expected$parM1$Item13 [1] -1.69565769 - -1.69566366 [1] [2] 0.20592371 - 0.20592301 [2] [3] -0.76044139 - -0.76049359 [3] [4] 0.08549168 - 0.08549628 [4] [5] 0.21821907 - 0.21822605 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -4.59738257 - -4.59740927 [1] [2] 0.34193889 - 0.34194054 [2] [3] 0.42648852 - 0.42650006 [3] [4] -0.02331321 - -0.02331403 [4] [5] 0.03383312 - 0.03383493 [5] actual$parM1$Item19 | expected$parM1$Item19 [1] -4.357172480 - -4.357172279 [1] [2] 0.345309493 - 0.345309480 [2] [3] 1.232103561 - 1.232103497 [3] [4] -0.090239181 - -0.090239176 [4] [5] 0.062958417 - 0.062958401 [5] actual$parM1$Item20 | expected$parM1$Item20 [1] -5.176166878 - -5.176160039 [1] [2] 0.349873351 - 0.349872913 [2] [3] -1.533304832 - -1.533305247 [3] [4] 0.098965262 - 0.098965302 [4] [5] 0.196357665 - 0.196357445 [5] `actual$seM1$Item1`: 0.65707772 0.04822281 0.70992666 0.05500992 0.06621477 `expected$seM1$Item1`: 0.65707729 0.04822294 0.70993948 0.05501078 0.06621312 actual$seM1$Item4 | expected$seM1$Item4 [1] 1.525363485 - 1.525363234 [1] [2] 0.058440949 - 0.058440940 [2] [3] 0.400298100 - 0.400298181 [3] [4] 0.039844659 - 0.039844670 [4] [5] 0.683551545 - 0.683551452 [5] `actual$seM1$Item5`: 1.10171294 0.07353995 0.57564057 0.05738923 0.18525611 `expected$seM1$Item5`: 1.10171151 0.07354035 0.57564807 0.05738985 0.18524855 actual$seM1$Item7 | expected$seM1$Item7 [1] 1.112354898 - 1.112354869 [1] [2] 0.058267619 - 0.058267613 [2] [3] 0.456091987 - 0.456091925 [3] [4] 0.039381409 - 0.039381404 [4] [5] 0.279594347 - 0.279594362 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 1.106076330 - 1.106075897 [1] [2] 0.058189935 - 0.058189893 [2] [3] 0.438636888 - 0.438636645 [3] [4] 0.037649369 - 0.037649352 [4] [5] 0.225906353 - 0.225906565 [5] `actual$seM1$Item12`: 0.94908602 0.05826841 0.63939570 0.05205164 0.08877387 `expected$seM1$Item12`: 0.94908357 0.05826806 0.63938713 0.05205103 0.08877580 `actual$seM1$Item13`: 1.02252767 0.05207490 0.54547896 0.05138999 0.23524294 `expected$seM1$Item13`: 1.02251343 0.05207443 0.54549017 0.05139094 0.23523570 `actual$seM1$Item18`: 0.80615498 0.05259308 0.58653492 0.04621512 0.05998347 `expected$seM1$Item18`: 0.80615771 0.05259332 0.58653861 0.04621537 0.05998298 actual$seM1$Item19 | expected$seM1$Item19 [1] 0.916940924 - 0.916940837 [1] [2] 0.059762982 - 0.059762973 [2] [3] 0.605290412 - 0.605290343 [3] [4] 0.048573616 - 0.048573610 [4] [5] 0.079909930 - 0.079909936 [5] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.904156749 - 0.904155836 [1] [2] 0.060013217 - 0.060013149 [2] [3] 1.052211185 - 1.052209813 [3] [4] 0.076472385 - 0.076472294 [4] [5] 0.036048491 - 0.036048545 [5] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.431751129 -0.0308999659 -0.002508681 0.0055275948 -0.033747331 + expected$covM1$Item1[1, ] 0.431750565 -0.0309000315 -0.002509236 0.0055276442 -0.033746223 - actual$covM1$Item1[2, ] -0.030899966 0.0023254395 0.004452941 -0.0007621652 0.002079283 + expected$covM1$Item1[2, ] -0.030900031 0.0023254515 0.004453023 -0.0007621730 0.002079219 - actual$covM1$Item1[3, ] -0.002508681 0.0044529408 0.503995861 -0.0380305101 -0.022019127 + expected$covM1$Item1[3, ] -0.002509236 0.0044530233 0.504014072 -0.0380318167 -0.022019128 - actual$covM1$Item1[4, ] 0.005527595 -0.0007621652 -0.038030510 0.0030260911 0.001217053 + expected$covM1$Item1[4, ] 0.005527644 -0.0007621730 -0.038031817 0.0030261861 0.001217062 - actual$covM1$Item1[5, ] -0.033747331 0.0020792830 -0.022019127 0.0012170529 0.004384396 + expected$covM1$Item1[5, ] -0.033746223 0.0020792188 -0.022019128 0.0012170623 0.004384177 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 2.326733762 -0.0853641583 -0.033790400 -0.0026252958 -1.026255107 + expected$covM1$Item4[1, ] 2.326732994 -0.0853641286 -0.033790314 -0.0026252989 -1.026254792 - actual$covM1$Item4[2, ] -0.085364158 0.0034153446 0.005381553 -0.0003460904 0.035797900 + expected$covM1$Item4[2, ] -0.085364129 0.0034153434 0.005381551 -0.0003460905 0.035797888 - actual$covM1$Item4[3, ] -0.033790400 0.0053815526 0.160238569 -0.0153043249 -0.017696899 + expected$covM1$Item4[3, ] -0.033790314 0.0053815506 0.160238634 -0.0153043326 -0.017696945 - actual$covM1$Item4[4, ] -0.002625296 -0.0003460904 -0.015304325 0.0015875969 0.004262735 + expected$covM1$Item4[4, ] -0.002625299 -0.0003460905 -0.015304333 0.0015875977 0.004262737 - actual$covM1$Item4[5, ] -1.026255107 0.0357979000 -0.017696899 0.0042627348 0.467242715 + expected$covM1$Item4[5, ] -1.026254792 0.0357978877 -0.017696945 0.0042627373 0.467242587 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 1.21377140 -0.078712322 -0.33805280 0.032631219 -0.189603633 + expected$covM1$Item5[1, ] 1.21376826 -0.078712681 -0.33805175 0.032631089 -0.189595094 - actual$covM1$Item5[2, ] -0.07871232 0.005408124 0.02657835 -0.002664787 0.011287633 + expected$covM1$Item5[2, ] -0.07871268 0.005408184 0.02657852 -0.002664801 0.011287192 - actual$covM1$Item5[3, ] -0.33805280 0.026578351 0.33136206 -0.032191386 0.031091323 + expected$covM1$Item5[3, ] -0.33805175 0.026578523 0.33137070 -0.032192157 0.031088967 - actual$covM1$Item5[4, ] 0.03263122 -0.002664787 -0.03219139 0.003293523 -0.002946572 + expected$covM1$Item5[4, ] 0.03263109 -0.002664801 -0.03219216 0.003293594 -0.002946348 - actual$covM1$Item5[5, ] -0.18960363 0.011287633 0.03109132 -0.002946572 0.034319825 + expected$covM1$Item5[5, ] -0.18959509 0.011287192 0.03108897 -0.002946348 0.034317025 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 1.23733342 -0.063366071 -0.31469705 0.022910444 -0.300610294 + expected$covM1$Item7[1, ] 1.23733335 -0.063366063 -0.31469690 0.022910432 -0.300610303 - actual$covM1$Item7[2, ] -0.06336607 0.003395115 0.01846588 -0.001426338 0.014629230 + expected$covM1$Item7[2, ] -0.06336606 0.003395115 0.01846587 -0.001426338 0.014629229 - actual$covM1$Item7[3, ] -0.31469705 0.018465880 0.20801990 -0.017413291 0.060680882 + expected$covM1$Item7[3, ] -0.31469690 0.018465872 0.20801984 -0.017413286 0.060680849 - actual$covM1$Item7[4, ] 0.02291044 -0.001426338 -0.01741329 0.001550895 -0.004108839 + expected$covM1$Item7[4, ] 0.02291043 -0.001426338 -0.01741329 0.001550895 -0.004108837 - actual$covM1$Item7[5, ] -0.30061029 0.014629230 0.06068088 -0.004108839 0.078172999 + expected$covM1$Item7[5, ] -0.30061030 0.014629229 0.06068085 -0.004108837 0.078173007 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 1.22340485 -0.062963747 -0.19961493 0.016058281 -0.239970298 + expected$covM1$Item9[1, ] 1.22340389 -0.062963675 -0.19961479 0.016058269 -0.239970432 - actual$covM1$Item9[2, ] -0.06296375 0.003386069 0.01307774 -0.001100515 0.011692984 + expected$covM1$Item9[2, ] -0.06296367 0.003386064 0.01307773 -0.001100514 0.011692985 - actual$covM1$Item9[3, ] -0.19961493 0.013077745 0.19240232 -0.016085562 0.022244323 + expected$covM1$Item9[3, ] -0.19961479 0.013077732 0.19240211 -0.016085545 0.022244344 - actual$covM1$Item9[4, ] 0.01605828 -0.001100515 -0.01608556 0.001417475 -0.001717755 + expected$covM1$Item9[4, ] 0.01605827 -0.001100514 -0.01608555 0.001417474 -0.001717757 - actual$covM1$Item9[5, ] -0.23997030 0.011692984 0.02224432 -0.001717755 0.051033680 + expected$covM1$Item9[5, ] -0.23997043 0.011692985 0.02224434 -0.001717757 0.051033776 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.90076428 -0.0541723862 -0.143188732 0.0105552840 -0.0748240041 + expected$covM1$Item12[1, ] 0.90075962 -0.0541719134 -0.143184299 0.0105549582 -0.0748256475 - actual$covM1$Item12[2, ] -0.05417239 0.0033952070 0.012492213 -0.0009954881 0.0041166553 + expected$covM1$Item12[2, ] -0.05417191 0.0033951667 0.012491880 -0.0009954632 0.0041167332 - actual$covM1$Item12[3, ] -0.14318873 0.0124922129 0.408826856 -0.0326494474 -0.0049672478 + expected$covM1$Item12[3, ] -0.14318430 0.0124918802 0.408815898 -0.0326486196 -0.0049673027 - actual$covM1$Item12[4, ] 0.01055528 -0.0009954881 -0.032649447 0.0027093734 0.0004772933 + expected$covM1$Item12[4, ] 0.01055496 -0.0009954632 -0.032648620 0.0027093098 0.0004772992 - actual$covM1$Item12[5, ] -0.07482400 0.0041166553 -0.004967248 0.0004772933 0.0078807997 + expected$covM1$Item12[5, ] -0.07482565 0.0041167332 -0.004967303 0.0004772992 0.0078811427 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 1.04556283 -5.082888e-02 0.0963525634 -1.078516e-02 -0.227818219 + expected$covM1$Item13[1, ] 1.04553372 -5.082766e-02 0.0963631018 -1.078600e-02 -0.227807504 - actual$covM1$Item13[2, ] -0.05082888 2.711795e-03 0.0004973998 3.927418e-06 0.010041399 + expected$covM1$Item13[2, ] -0.05082766 2.711746e-03 0.0004969787 3.960824e-06 0.010040930 - actual$covM1$Item13[3, ] 0.09635256 4.973998e-04 0.2975472967 -2.734835e-02 -0.049564024 + expected$covM1$Item13[3, ] 0.09636310 4.969787e-04 0.2975595246 -2.734944e-02 -0.049566213 - actual$covM1$Item13[4, ] -0.01078516 3.927418e-06 -0.0273483471 2.640931e-03 0.004925244 + expected$covM1$Item13[4, ] -0.01078600 3.960824e-06 -0.0273494353 2.641029e-03 0.004925402 - actual$covM1$Item13[5, ] -0.22781822 1.004140e-02 -0.0495640240 4.925244e-03 0.055339239 + expected$covM1$Item13[5, ] -0.22780750 1.004093e-02 -0.0495662131 4.925402e-03 0.055335835 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.64988585 -0.041811228 -0.245919859 0.0182461064 -0.0410515109 + expected$covM1$Item18[1, ] 0.64989025 -0.041811557 -0.245923777 0.0182463909 -0.0410512574 - actual$covM1$Item18[2, ] -0.04181123 0.002766033 0.017855836 -0.0013686087 0.0024343758 + expected$covM1$Item18[2, ] -0.04181156 0.002766057 0.017856109 -0.0013686287 0.0024343635 - actual$covM1$Item18[3, ] -0.24591986 0.017855836 0.344023213 -0.0266756963 0.0056453543 + expected$covM1$Item18[3, ] -0.24592378 0.017856109 0.344027543 -0.0266760134 0.0056454190 - actual$covM1$Item18[4, ] 0.01824611 -0.001368609 -0.026675696 0.0021358369 -0.0003689782 + expected$covM1$Item18[4, ] 0.01824639 -0.001368629 -0.026676013 0.0021358604 -0.0003689831 - actual$covM1$Item18[5, ] -0.04105151 0.002434376 0.005645354 -0.0003689782 0.0035980164 + expected$covM1$Item18[5, ] -0.04105126 0.002434364 0.005645419 -0.0003689831 0.0035979576 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.84078066 -0.054068639 -0.38946884 0.029746421 -0.064756588 + expected$covM1$Item19[1, ] 0.84078050 -0.054068625 -0.38946871 0.029746409 -0.064756586 - actual$covM1$Item19[2, ] -0.05406864 0.003571614 0.02700142 -0.002112900 0.003883747 + expected$covM1$Item19[2, ] -0.05406863 0.003571613 0.02700141 -0.002112899 0.003883746 - actual$covM1$Item19[3, ] -0.38946884 0.027001419 0.36637648 -0.028930316 0.020253080 + expected$covM1$Item19[3, ] -0.38946871 0.027001409 0.36637640 -0.028930309 0.020253072 - actual$covM1$Item19[4, ] 0.02974642 -0.002112900 -0.02893032 0.002359396 -0.001485352 + expected$covM1$Item19[4, ] 0.02974641 -0.002112899 -0.02893031 0.002359396 -0.001485351 - actual$covM1$Item19[5, ] -0.06475659 0.003883747 0.02025308 -0.001485352 0.006385597 + expected$covM1$Item19[5, ] -0.06475659 0.003883746 0.02025307 -0.001485351 0.006385598 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.81749943 -0.053485538 -0.194692425 0.0158225743 -0.0239338069 + expected$covM1$Item20[1, ] 0.81749778 -0.053485422 -0.194691156 0.0158224843 -0.0239338304 - actual$covM1$Item20[2, ] -0.05348554 0.003601586 0.017055960 -0.0013985829 0.0013999498 + expected$covM1$Item20[2, ] -0.05348542 0.003601578 0.017055873 -0.0013985767 0.0013999508 - actual$covM1$Item20[3, ] -0.19469242 0.017055960 1.107148378 -0.0795826280 -0.0098816992 + expected$covM1$Item20[3, ] -0.19469116 0.017055873 1.107145491 -0.0795824281 -0.0098817238 - actual$covM1$Item20[4, ] 0.01582257 -0.001398583 -0.079582628 0.0058480257 0.0006449730 + expected$covM1$Item20[4, ] 0.01582248 -0.001398577 -0.079582428 0.0058480117 0.0006449746 - actual$covM1$Item20[5, ] -0.02393381 0.001399950 -0.009881699 0.0006449730 0.0012994937 + expected$covM1$Item20[5, ] -0.02393383 0.001399951 -0.009881724 0.0006449746 0.0012994976 ── Failure ('test-difNLR.R:112:3'): difNLR - examples at help page ───────────── Expected `fit8` to equal `fit8_expected`. Differences: `actual$nlrPAR[[1]]`: 0.32320546 1.13370631 -1.07235984 0.12662854 0.99317346 `expected$nlrPAR[[1]]`: 0.32320690 1.13370385 -1.07235558 0.12662741 0.99317360 `actual$nlrPAR[[2]]`: 0.59796443 1.15693269 -0.51422090 0.11177563 0.92026997 `expected$nlrPAR[[2]]`: 0.59798585 1.15691866 -0.51421910 0.11176757 0.92026964 `actual$nlrPAR[[3]]`: 1.55996421 0.92560058 0.00000000 0.00000000 0.90149113 `expected$nlrPAR[[3]]`: 1.55996917 0.92560294 0.00000000 0.00000000 0.90149049 `actual$nlrPAR[[5]]`: 1.1532557 1.0734014 0.0000000 0.3327421 1.0000000 `expected$nlrPAR[[5]]`: 1.1532483 1.0734028 0.0000000 0.3327464 1.0000000 `actual$nlrPAR[[8]]`: 0.1263851 0.8219324 0.0000000 0.1885746 1.0000000 `expected$nlrPAR[[8]]`: 0.1263959 0.8219280 0.0000000 0.1885706 1.0000000 `actual$nlrPAR[[12]]`: -0.34309056 0.89778299 0.00000000 0.20920333 1.00000000 `expected$nlrPAR[[12]]`: -0.34308747 0.89778156 0.00000000 0.20920250 1.00000000 `actual$nlrPAR[[13]]`: 0.6497828 0.8891646 0.0000000 0.3237768 0.9819687 `expected$nlrPAR[[13]]`: 0.6497499 0.8892116 0.0000000 0.3238028 0.9819624 `actual$nlrPAR[[15]]`: 0.09699751 0.59697184 0.00000000 0.00000000 1.00000000 `expected$nlrPAR[[15]]`: 0.09699738 0.59697101 0.00000000 0.00000000 1.00000000 `actual$nlrPAR[[16]]`: -0.5041715 1.0814102 0.0000000 0.0768309 1.0000000 `expected$nlrPAR[[16]]`: -0.5041613 1.0814053 0.0000000 0.0768282 1.0000000 `actual$nlrPAR[[20]]`: -1.3542432 1.2607027 0.0000000 0.2041056 1.0000000 `expected$nlrPAR[[20]]`: -1.3542322 1.2606959 0.0000000 0.2041043 1.0000000 actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.242974216 - 0.242974302 [1] [2] 0.279351169 - 0.279351063 [2] [3] 0.278274253 - 0.278273693 [3] [4] 0.070776768 - 0.070777180 [4] [5] 0.088410887 - 0.088411114 [5] `actual$nlrSE[[2]]`: 0.25627875 0.33586765 0.19336953 0.10775313 0.07377553 `expected$nlrSE[[2]]`: 0.25627945 0.33586669 0.19336932 0.10775712 0.07377618 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.504351357 - 0.504350328 [1] [2] 0.468713968 - 0.468713871 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.545812153 - 0.545810883 [4] [5] 0.064089880 - 0.064089490 [5] actual$nlrSE[[4]] | expected$nlrSE[[4]] [1] 1.117462987 - 1.117463066 [1] [2] 0.594054259 - 0.594054238 [2] [3] 0.000000000 | 0.000000000 [3] [4] 1.313857686 - 1.313857732 [4] [5] 0.135104009 - 0.135103997 [5] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 0.317657431 - 0.317657804 [1] [2] 0.409873898 - 0.409875289 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.201998807 - 0.201996745 [4] [5] 0.049232628 - 0.049232666 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] `actual$nlrSE[[8]]`: 0.35415112 0.45033155 0.00000000 0.20777905 0.16990648 `expected$nlrSE[[8]]`: 0.35415243 0.45033194 0.00000000 0.20778332 0.16990731 actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.336039253 - 0.336039415 [1] [2] 0.439196930 - 0.439196958 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.128119288 - 0.128119945 [4] [5] 0.197950429 - 0.197950678 [5] `actual$nlrSE[[13]]`: 0.4051980 0.4984701 0.0000000 0.2399315 0.0976115 `expected$nlrSE[[13]]`: 0.4051788 0.4984669 0.0000000 0.2398930 0.0976032 `actual$nlrSE[[15]]`: 0.47457407 0.55342802 0.00000000 0.45904730 0.38185767 `expected$nlrSE[[15]]`: 0.47457501 0.55342914 0.00000000 0.45904902 0.38185900 actual$nlrSE[[16]] | expected$nlrSE[[16]] [1] 0.226773445 - 0.226773530 [1] [2] 0.317546109 - 0.317545795 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.079085957 - 0.079086991 [4] [5] 0.140447068 - 0.140447487 [5] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.284859533 - 0.284859523 [1] [2] 0.399763396 - 0.399762947 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.044979642 - 0.044980132 [4] [5] 0.187247927 - 0.187248908 [5] `actual$parM0$Item1`: -0.0220175 0.9334448 0.0572142 1.0000000 `expected$parM0$Item1`: -0.0220028 0.9334372 0.0572085 1.0000000 `actual$parM0$Item2`: 0.0669304 1.3907426 0.2073209 0.9138446 `expected$parM0$Item2`: 0.0669261 1.3907279 0.2073191 0.9138473 `actual$parM0$Item3`: 1.55996421 0.92560058 0.00000000 0.90149113 `expected$parM0$Item3`: 1.55996917 0.92560294 0.00000000 0.90149049 `actual$parM0$Item5`: 1.1532557 1.0734014 0.3327421 1.0000000 `expected$parM0$Item5`: 1.1532483 1.0734028 0.3327464 1.0000000 `actual$parM0$Item8`: 0.1263851 0.8219324 0.1885746 1.0000000 `expected$parM0$Item8`: 0.1263959 0.8219280 0.1885706 1.0000000 `actual$parM0$Item12`: -0.34309056 0.89778299 0.20920333 1.00000000 `expected$parM0$Item12`: -0.34308747 0.89778156 0.20920250 1.00000000 `actual$parM0$Item13`: 0.6497828 0.8891646 0.3237768 0.9819687 `expected$parM0$Item13`: 0.6497499 0.8892116 0.3238028 0.9819624 `actual$parM0$Item15`: 0.09699751 0.59697184 0.00000000 1.00000000 `expected$parM0$Item15`: 0.09699738 0.59697101 0.00000000 1.00000000 `actual$parM0$Item16`: -0.5041715 1.0814102 0.0768309 1.0000000 `expected$parM0$Item16`: -0.5041613 1.0814053 0.0768282 1.0000000 `actual$parM0$Item20`: -1.3542432 1.2607027 0.2041056 1.0000000 `expected$parM0$Item20`: -1.3542322 1.2606959 0.2041043 1.0000000 `actual$seM0$Item1`: 0.25705019 0.34300471 0.14091399 0.14201913 `expected$seM0$Item1`: 0.25705064 0.34300482 0.14091771 0.14202016 `actual$seM0$Item2`: 0.23109125 0.36698488 0.06925302 0.06485684 `expected$seM0$Item2`: 0.23109160 0.36698349 0.06925410 0.06485802 `actual$seM0$Item3`: 0.504351357 0.468713968 0.545812153 0.064089880 `expected$seM0$Item3`: 0.504350328 0.468713871 0.545810883 0.064089490 `actual$seM0$Item4`: 1.117462987 0.594054259 1.313857686 0.135104009 `expected$seM0$Item4`: 1.117463066 0.594054238 1.313857732 0.135103997 `actual$seM0$Item5`: 0.317657431 0.409873898 0.201998807 0.049232628 `expected$seM0$Item5`: 0.317657804 0.409875289 0.201996745 0.049232666 `actual$seM0$Item8`: 0.35415112 0.45033155 0.20777905 0.16990648 `expected$seM0$Item8`: 0.35415243 0.45033194 0.20778332 0.16990731 `actual$seM0$Item12`: 0.336039253 0.439196930 0.128119288 0.197950429 `expected$seM0$Item12`: 0.336039415 0.439196958 0.128119945 0.197950678 `actual$seM0$Item13`: 0.4051980 0.4984701 0.2399315 0.0976115 `expected$seM0$Item13`: 0.4051788 0.4984669 0.2398930 0.0976032 `actual$seM0$Item15`: 0.47457407 0.55342802 0.45904730 0.38185767 `expected$seM0$Item15`: 0.47457501 0.55342914 0.45904902 0.38185900 `actual$seM0$Item16`: 0.226773445 0.317546109 0.079085957 0.140447068 `expected$seM0$Item16`: 0.226773530 0.317545795 0.079086991 0.140447487 `actual$seM0$Item20`: 0.284859533 0.399763396 0.044979642 0.187247927 `expected$seM0$Item20`: 0.284859523 0.399762947 0.044980132 0.187248908 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] [,4] - actual$covM0$Item1[1, ] 0.066074800 -0.002873132 -0.01387224 -0.01230156 + expected$covM0$Item1[1, ] 0.066075033 -0.002873414 -0.01387266 -0.01230148 - actual$covM0$Item1[2, ] -0.002873132 0.117652232 0.04420524 -0.04427739 + expected$covM0$Item1[2, ] -0.002873414 0.117652309 0.04420649 -0.04427779 - actual$covM0$Item1[3, ] -0.013872239 0.044205238 0.01985675 -0.01460883 + expected$covM0$Item1[3, ] -0.013872659 0.044206492 0.01985780 -0.01460940 - actual$covM0$Item1[4, ] -0.012301562 -0.044277390 -0.01460883 0.02016943 + expected$covM0$Item1[4, ] -0.012301480 -0.044277786 -0.01460940 0.02016973 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] - actual$covM0$Item2[1, ] 5.340317e-02 5.590604e-05 -0.006998014 -0.006735208 + expected$covM0$Item2[1, ] 5.340333e-02 5.566998e-05 -0.006998137 -0.006735282 - actual$covM0$Item2[2, ] 5.590604e-05 1.346779e-01 0.021276870 -0.019705105 + expected$covM0$Item2[2, ] 5.566998e-05 1.346769e-01 0.021277187 -0.019705447 - actual$covM0$Item2[3, ] -6.998014e-03 2.127687e-02 0.004795981 -0.002513852 + expected$covM0$Item2[3, ] -6.998137e-03 2.127719e-02 0.004796131 -0.002513958 - actual$covM0$Item2[4, ] -6.735208e-03 -1.970511e-02 -0.002513852 0.004206410 + expected$covM0$Item2[4, ] -6.735282e-03 -1.970545e-02 -0.002513958 0.004206563 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.254370291 -0.11787141 -0.21178022 0.005093577 + expected$covM0$Item3[1, ] 0.254369253 -0.11787064 -0.21177897 0.005093444 - actual$covM0$Item3[2, ] -0.117871409 0.21969278 0.23801274 -0.027092964 + expected$covM0$Item3[2, ] -0.117870642 0.21969269 0.23801207 -0.027092780 - actual$covM0$Item3[3, ] -0.211780217 0.23801274 0.29791091 -0.025885499 + expected$covM0$Item3[3, ] -0.211778967 0.23801207 0.29790952 -0.025885252 - actual$covM0$Item3[4, ] 0.005093577 -0.02709296 -0.02588550 0.004107513 + expected$covM0$Item3[4, ] 0.005093444 -0.02709278 -0.02588525 0.004107463 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] [,4] - actual$covM0$Item4[1, ] 1.24872353 -0.53786609 -1.3746198 0.09286993 + expected$covM0$Item4[1, ] 1.24872370 -0.53786613 -1.3746199 0.09286993 - actual$covM0$Item4[2, ] -0.53786609 0.35290046 0.7510240 -0.07637073 + expected$covM0$Item4[2, ] -0.53786613 0.35290044 0.7510240 -0.07637072 - actual$covM0$Item4[3, ] -1.37461977 0.75102399 1.7262220 -0.15110771 + expected$covM0$Item4[3, ] -1.37461994 0.75102399 1.7262221 -0.15110770 - actual$covM0$Item4[4, ] 0.09286993 -0.07637073 -0.1511077 0.01825309 + expected$covM0$Item4[4, ] 0.09286993 -0.07637072 -0.1511077 0.01825309 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.100906243 -0.01639228 -0.031927052 -0.004046355 + expected$covM0$Item5[1, ] 0.100906480 -0.01639186 -0.031926576 -0.004046425 - actual$covM0$Item5[2, ] -0.016392278 0.16799661 0.075194818 -0.017718185 + expected$covM0$Item5[2, ] -0.016391855 0.16799775 0.075194278 -0.017718255 - actual$covM0$Item5[3, ] -0.031927052 0.07519482 0.040803518 -0.006820954 + expected$covM0$Item5[3, ] -0.031926576 0.07519428 0.040802685 -0.006820884 - actual$covM0$Item5[4, ] -0.004046355 -0.01771818 -0.006820954 0.002423852 + expected$covM0$Item5[4, ] -0.004046425 -0.01771825 -0.006820884 0.002423855 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] [,4] - actual$covM0$Item8[1, ] 0.12542301 -0.01487184 -0.03023172 -0.01490142 + expected$covM0$Item8[1, ] 0.12542394 -0.01487277 -0.03023274 -0.01490116 - actual$covM0$Item8[2, ] -0.01487184 0.20279851 0.08730002 -0.07088381 + expected$covM0$Item8[2, ] -0.01487277 0.20279886 0.08730195 -0.07088427 - actual$covM0$Item8[3, ] -0.03023172 0.08730002 0.04317213 -0.02737567 + expected$covM0$Item8[3, ] -0.03023274 0.08730195 0.04317391 -0.02737643 - actual$covM0$Item8[4, ] -0.01490142 -0.07088381 -0.02737567 0.02886821 + expected$covM0$Item8[4, ] -0.01490116 -0.07088427 -0.02737643 0.02886849 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] - actual$covM0$Item12[1, ] 0.112922379 0.007729332 -0.01259563 -0.02701919 + expected$covM0$Item12[1, ] 0.112922489 0.007729283 -0.01259570 -0.02701919 - actual$covM0$Item12[2, ] 0.007729332 0.192893943 0.05163677 -0.07979903 + expected$covM0$Item12[2, ] 0.007729283 0.192893968 0.05163706 -0.07979916 - actual$covM0$Item12[3, ] -0.012595629 0.051636773 0.01641455 -0.01890950 + expected$covM0$Item12[3, ] -0.012595698 0.051637057 0.01641472 -0.01890963 - actual$covM0$Item12[4, ] -0.027019187 -0.079799034 -0.01890950 0.03918437 + expected$covM0$Item12[4, ] -0.027019190 -0.079799155 -0.01890963 0.03918447 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.164185458 -0.04635703 -0.05331897 -0.005051936 + expected$covM0$Item13[1, ] 0.164169886 -0.04634182 -0.05330373 -0.005054266 - actual$covM0$Item13[2, ] -0.046357032 0.24847246 0.11094897 -0.044402851 + expected$covM0$Item13[2, ] -0.046341822 0.24846923 0.11092965 -0.044398402 - actual$covM0$Item13[3, ] -0.053318974 0.11094897 0.05756711 -0.017570073 + expected$covM0$Item13[3, ] -0.053303731 0.11092965 0.05754866 -0.017565328 - actual$covM0$Item13[4, ] -0.005051936 -0.04440285 -0.01757007 0.009528008 + expected$covM0$Item13[4, ] -0.005054266 -0.04439840 -0.01756533 0.009526385 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.22522055 -0.04015838 -0.08681427 -0.02033736 + expected$covM0$Item15[1, ] 0.22522144 -0.04015882 -0.08681489 -0.02033722 - actual$covM0$Item15[2, ] -0.04015838 0.30628257 0.24460565 -0.20282879 + expected$covM0$Item15[2, ] -0.04015882 0.30628381 0.24460710 -0.20282993 - actual$covM0$Item15[3, ] -0.08681427 0.24460565 0.21072442 -0.15168542 + expected$covM0$Item15[3, ] -0.08681489 0.24460710 0.21072600 -0.15168659 - actual$covM0$Item15[4, ] -0.02033736 -0.20282879 -0.15168542 0.14581528 + expected$covM0$Item15[4, ] -0.02033722 -0.20282993 -0.15168659 0.14581630 actual$covM0$Item16 vs expected$covM0$Item16 [,1] [,2] [,3] [,4] - actual$covM0$Item16[1, ] 0.051426196 -0.001944726 -0.007211520 -0.012079178 + expected$covM0$Item16[1, ] 0.051426234 -0.001944540 -0.007211563 -0.012079256 - actual$covM0$Item16[2, ] -0.001944726 0.100835531 0.022217068 -0.039661786 + expected$covM0$Item16[2, ] -0.001944540 0.100835332 0.022217361 -0.039661897 - actual$covM0$Item16[3, ] -0.007211520 0.022217068 0.006254589 -0.007480797 + expected$covM0$Item16[3, ] -0.007211563 0.022217361 0.006254752 -0.007480938 - actual$covM0$Item16[4, ] -0.012079178 -0.039661786 -0.007480797 0.019725379 + expected$covM0$Item16[4, ] -0.012079256 -0.039661897 -0.007480938 0.019725497 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] [,4] - actual$covM0$Item20[1, ] 0.081144954 -0.01830648 -0.006659131 -0.015217996 + expected$covM0$Item20[1, ] 0.081144948 -0.01830561 -0.006659124 -0.015218388 - actual$covM0$Item20[2, ] -0.018306481 0.15981077 0.015099785 -0.065639571 + expected$covM0$Item20[2, ] -0.018305608 0.15981041 0.015099959 -0.065639903 - actual$covM0$Item20[3, ] -0.006659131 0.01509978 0.002023168 -0.005188930 + expected$covM0$Item20[3, ] -0.006659124 0.01509996 0.002023212 -0.005189033 - actual$covM0$Item20[4, ] -0.015217996 -0.06563957 -0.005188930 0.035061786 + expected$covM0$Item20[4, ] -0.015218388 -0.06563990 -0.005189033 0.035062154 `actual$parM1$Item1`: 0.32320546 1.13370631 -1.07235984 0.12662854 0.99317346 `expected$parM1$Item1`: 0.32320690 1.13370385 -1.07235558 0.12662741 0.99317360 `actual$parM1$Item2`: 0.59796443 1.15693269 -0.51422090 0.11177563 0.92026997 `expected$parM1$Item2`: 0.59798585 1.15691866 -0.51421910 0.11176757 0.92026964 actual$parM1$Item3 | expected$parM1$Item3 [1] 1.507978436 - 1.507978832 [1] [2] 0.917941683 - 0.917941949 [2] [3] 0.075486570 - 0.075486759 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.903361040 - 0.903360977 [5] `actual$parM1$Item6`: 0.5683118 0.9117789 -0.0274522 0.0598405 1.0000000 `expected$parM1$Item6`: 0.5683168 0.9117756 -0.0274509 0.0598373 1.0000000 `actual$parM1$Item9`: 0.24040630 0.63539787 0.03016192 0.04632084 1.00000000 `expected$parM1$Item9`: 0.24040832 0.63539707 0.03016213 0.04631958 1.00000000 `actual$parM1$Item10`: 0.1687878 0.6461605 0.0957568 0.0572069 1.0000000 `expected$parM1$Item10`: 0.1688208 0.6461490 0.0957520 0.0571918 1.0000000 `actual$parM1$Item12`: -0.43388127 0.92195800 0.09976397 0.22012406 1.00000000 `expected$parM1$Item12`: -0.43387697 0.92195601 0.09976269 0.22012311 1.00000000 `actual$parM1$Item13`: 0.4336086 1.1703006 0.2838149 0.4193065 0.9477100 `expected$parM1$Item13`: 0.4335702 1.1703861 0.2838069 0.4193302 0.9477042 `actual$parM1$Item15`: 0.0547058 0.5969746 0.0853485 0.0000000 1.0000000 `expected$parM1$Item15`: 0.0547019 0.5969767 0.0853333 0.0000000 1.0000000 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510659434 - -0.510654210 [1] [2] 1.080511366 - 1.080507944 [2] [3] 0.015598901 - 0.015598920 [3] [4] 0.076474103 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -0.600332589 - -0.600332436 [1] [2] 1.014631513 - 1.014631427 [2] [3] 0.134705354 - 0.134705348 [3] [4] 0.028827957 - 0.028827912 [4] [5] 1.000000000 | 1.000000000 [5] `actual$parM1$Item19`: -0.18778238 0.85453878 0.14282620 0.01274498 1.00000000 `expected$parM1$Item19`: -0.18778293 0.85453903 0.14282632 0.01274518 1.00000000 `actual$parM1$Item20`: -1.1926357 1.2187021 -0.1937108 0.1958467 1.0000000 `expected$parM1$Item20`: -1.1926466 1.2187082 -0.1937082 0.1958480 1.0000000 actual$seM1$Item1 | expected$seM1$Item1 [1] 0.242974216 - 0.242974302 [1] [2] 0.279351169 - 0.279351063 [2] [3] 0.278274253 - 0.278273693 [3] [4] 0.070776768 - 0.070777180 [4] [5] 0.088410887 - 0.088411114 [5] `actual$seM1$Item2`: 0.25627875 0.33586765 0.19336953 0.10775313 0.07377553 `expected$seM1$Item2`: 0.25627945 0.33586669 0.19336932 0.10775712 0.07377618 actual$seM1$Item3 | expected$seM1$Item3 [1] 0.521636737 - 0.521636597 [1] [2] 0.468280938 - 0.468280877 [2] [3] 0.139852149 - 0.139852165 [3] [4] 0.548974333 - 0.548974120 [4] [5] 0.065226192 - 0.065226143 [5] `actual$seM1$Item6`: 0.28403184 0.35563992 0.10315314 0.22049461 0.10345792 `expected$seM1$Item6`: 0.28403280 0.35564020 0.10315276 0.22049758 0.10345834 actual$seM1$Item7 | expected$seM1$Item7 [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.474254991 - 0.474255764 [1] [2] 0.533608357 - 0.533608761 [2] [3] 0.101035210 - 0.101035143 [3] [4] 0.444274636 - 0.444276968 [4] [5] 0.288364133 - 0.288364587 [5] `actual$seM1$Item10`: 0.4649567 0.5225814 0.1256262 0.4079314 0.2825969 `expected$seM1$Item10`: 0.4649682 0.5225862 0.1256239 0.4079608 0.2826029 `actual$seM1$Item12`: 0.33664664 0.43526840 0.13676587 0.11817985 0.19126502 `expected$seM1$Item12`: 0.33664694 0.43526859 0.13676547 0.11818063 0.19126547 `actual$seM1$Item13`: 0.3589886 0.4941280 0.2171419 0.1170259 0.0615478 `expected$seM1$Item13`: 0.3589787 0.4941353 0.2171466 0.1170046 0.0615420 `actual$seM1$Item15`: 0.4822156 0.5490582 0.1214616 0.4552445 0.3787329 `expected$seM1$Item15`: 0.4822104 0.5490568 0.1214523 0.4552373 0.3787339 actual$seM1$Item16 | expected$seM1$Item16 [1] 0.233414961 - 0.233415147 [1] [2] 0.317610857 - 0.317610849 [2] [3] 0.109179480 - 0.109179312 [3] [4] 0.079268402 - 0.079269049 [4] [5] 0.140600902 - 0.140601371 [5] actual$seM1$Item18 | expected$seM1$Item18 [1] 0.235640802 - 0.235640788 [1] [2] 0.311619177 - 0.311619184 [2] [3] 0.109317187 - 0.109317182 [3] [4] 0.086003755 - 0.086003770 [4] [5] 0.162425719 - 0.162425751 [5] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.279334792 - 0.279334683 [1] [2] 0.353276217 - 0.353276835 [2] [3] 0.112688877 - 0.112688973 [3] [4] 0.159165465 - 0.159165509 [4] [5] 0.182483039 - 0.182483219 [5] `actual$seM1$Item20`: 0.29237052 0.39480249 0.16195534 0.04792813 0.19209842 `expected$seM1$Item20`: 0.29237030 0.39480290 0.16195555 0.04792764 0.19209752 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.059036470 0.03252626 -0.03677974 0.001329006 -0.016986350 + expected$covM1$Item1[1, ] 0.059036511 0.03252624 -0.03677965 0.001329017 -0.016986392 - actual$covM1$Item1[2, ] 0.032526259 0.07803708 -0.06968574 0.016852109 -0.021122768 + expected$covM1$Item1[2, ] 0.032526241 0.07803702 -0.06968558 0.016852213 -0.021122826 - actual$covM1$Item1[3, ] -0.036779737 -0.06968574 0.07743656 -0.015696043 0.019749474 + expected$covM1$Item1[3, ] -0.036779648 -0.06968558 0.07743625 -0.015696111 0.019749495 - actual$covM1$Item1[4, ] 0.001329006 0.01685211 -0.01569604 0.005009351 -0.003806034 + expected$covM1$Item1[4, ] 0.001329017 0.01685221 -0.01569611 0.005009409 -0.003806072 - actual$covM1$Item1[5, ] -0.016986350 -0.02112277 0.01974947 -0.003806034 0.007816485 + expected$covM1$Item1[5, ] -0.016986392 -0.02112283 0.01974949 -0.003806072 0.007816525 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.065678798 0.02566529 -0.019609165 -0.002997746 -0.012192522 + expected$covM1$Item2[1, ] 0.065679156 0.02566518 -0.019609039 -0.002997838 -0.012192615 - actual$covM1$Item2[2, ] 0.025665293 0.11280708 -0.048561189 0.031701766 -0.021355170 + expected$covM1$Item2[2, ] 0.025665183 0.11280643 -0.048561371 0.031702942 -0.021355351 - actual$covM1$Item2[3, ] -0.019609165 -0.04856119 0.037391773 -0.014071928 0.009551650 + expected$covM1$Item2[3, ] -0.019609039 -0.04856137 0.037391696 -0.014072576 0.009551815 - actual$covM1$Item2[4, ] -0.002997746 0.03170177 -0.014071928 0.011610737 -0.005035763 + expected$covM1$Item2[4, ] -0.002997838 0.03170294 -0.014072576 0.011611597 -0.005036033 - actual$covM1$Item2[5, ] -0.012192522 -0.02135517 0.009551650 -0.005035763 0.005442829 + expected$covM1$Item2[5, ] -0.012192615 -0.02135535 0.009551815 -0.005036033 0.005442924 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item3[1, ] 0.272104886 -0.12863754 -0.020122603 -0.22500322 0.006606150 + expected$covM1$Item3[1, ] 0.272104740 -0.12863744 -0.020122622 -0.22500304 0.006606133 - actual$covM1$Item3[2, ] -0.128637541 0.21928704 0.018169266 0.23931747 -0.027586355 + expected$covM1$Item3[2, ] -0.128637437 0.21928698 0.018169284 0.23931734 -0.027586329 - actual$covM1$Item3[3, ] -0.020122603 0.01816927 0.019558624 0.02033016 -0.002319495 + expected$covM1$Item3[3, ] -0.020122622 0.01816928 0.019558628 0.02033018 -0.002319495 - actual$covM1$Item3[4, ] -0.225003217 0.23931747 0.020330162 0.30137282 -0.026579297 + expected$covM1$Item3[4, ] -0.225003038 0.23931734 0.020330182 0.30137258 -0.026579263 - actual$covM1$Item3[5, ] 0.006606150 -0.02758635 -0.002319495 -0.02657930 0.004254456 + expected$covM1$Item3[5, ] 0.006606133 -0.02758633 -0.002319495 -0.02657926 0.004254450 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item6[1, ] 0.080674084 -0.015752893 -0.004791285 -0.030324410 -0.005933723 + expected$covM1$Item6[1, ] 0.080674629 -0.015753501 -0.004791242 -0.030325174 -0.005933590 - actual$covM1$Item6[2, ] -0.015752893 0.126479752 -0.003768430 0.072419529 -0.033449925 + expected$covM1$Item6[2, ] -0.015753501 0.126479950 -0.003768278 0.072420603 -0.033450109 - actual$covM1$Item6[3, ] -0.004791285 -0.003768430 0.010640571 -0.002199330 0.001017624 + expected$covM1$Item6[3, ] -0.004791242 -0.003768278 0.010640491 -0.002199273 0.001017585 - actual$covM1$Item6[4, ] -0.030324410 0.072419529 -0.002199330 0.048617871 -0.016896187 + expected$covM1$Item6[4, ] -0.030325174 0.072420603 -0.002199273 0.048619182 -0.016896515 - actual$covM1$Item6[5, ] -0.005933723 -0.033449925 0.001017624 -0.016896187 0.010703541 + expected$covM1$Item6[5, ] -0.005933590 -0.033450109 0.001017585 -0.016896515 0.010703629 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 0.24861777 -0.13168198 -0.05711450 -0.19363009 0.02680847 + expected$covM1$Item7[1, ] 0.24861774 -0.13168198 -0.05711449 -0.19363008 0.02680848 - actual$covM1$Item7[2, ] -0.13168198 0.19903352 0.07840870 0.20584411 -0.06988717 + expected$covM1$Item7[2, ] -0.13168198 0.19903351 0.07840870 0.20584410 -0.06988717 - actual$covM1$Item7[3, ] -0.05711450 0.07840870 0.04047383 0.08202830 -0.02784201 + expected$covM1$Item7[3, ] -0.05711449 0.07840870 0.04047383 0.08202830 -0.02784201 - actual$covM1$Item7[4, ] -0.19363009 0.20584411 0.08202830 0.23553052 -0.06625726 + expected$covM1$Item7[4, ] -0.19363008 0.20584410 0.08202830 0.23553051 -0.06625726 - actual$covM1$Item7[5, ] 0.02680847 -0.06988717 -0.02784201 -0.06625726 0.02765753 + expected$covM1$Item7[5, ] 0.02680848 -0.06988717 -0.02784201 -0.06625726 0.02765753 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 0.224917797 -0.07447552 -0.008330125 -0.11316559 0.002627585 + expected$covM1$Item9[1, ] 0.224918530 -0.07447642 -0.008330201 -0.11316683 0.002628051 - actual$covM1$Item9[2, ] -0.074475517 0.28473788 0.013489891 0.22727006 -0.146795898 + expected$covM1$Item9[2, ] -0.074476424 0.28473831 0.013490030 0.22727146 -0.146796259 - actual$covM1$Item9[3, ] -0.008330125 0.01348989 0.010208114 0.01085341 -0.007013465 + expected$covM1$Item9[3, ] -0.008330201 0.01349003 0.010208100 0.01085357 -0.007013541 - actual$covM1$Item9[4, ] -0.113165590 0.22727006 0.010853409 0.19737995 -0.108917370 + expected$covM1$Item9[4, ] -0.113166827 0.22727146 0.010853575 0.19738202 -0.108918167 - actual$covM1$Item9[5, ] 0.002627585 -0.14679590 -0.007013465 -0.10891737 0.083153873 + expected$covM1$Item9[5, ] 0.002628051 -0.14679626 -0.007013541 -0.10891817 0.083154135 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item10[1, ] 0.216184737 -0.07432006 -0.01592289 -0.10456644 0.003534106 + expected$covM1$Item10[1, ] 0.216195383 -0.07432929 -0.01592376 -0.10458053 0.003538585 - actual$covM1$Item10[2, ] -0.074320058 0.27309132 0.04034547 0.20397870 -0.140634607 + expected$covM1$Item10[2, ] -0.074329293 0.27309637 0.04034495 0.20399561 -0.140639083 - actual$covM1$Item10[3, ] -0.015922891 0.04034547 0.01578195 0.03038995 -0.020965851 + expected$covM1$Item10[3, ] -0.015923759 0.04034495 0.01578136 0.03039150 -0.020965849 - actual$covM1$Item10[4, ] -0.104566437 0.20397870 0.03038995 0.16640800 -0.097406299 + expected$covM1$Item10[4, ] -0.104580534 0.20399561 0.03039150 0.16643198 -0.097415874 - actual$covM1$Item10[5, ] 0.003534106 -0.14063461 -0.02096585 -0.09740630 0.079861027 + expected$covM1$Item10[5, ] 0.003538585 -0.14063908 -0.02096585 -0.09741587 0.079864388 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.113330963 -0.002995993 -0.008519927 -0.014343742 -0.021811018 + expected$covM1$Item12[1, ] 0.113331165 -0.002995871 -0.008519885 -0.014343801 -0.021811109 - actual$covM1$Item12[2, ] -0.002995993 0.189458576 0.020013134 0.046964112 -0.076096618 + expected$covM1$Item12[2, ] -0.002995871 0.189458743 0.020012948 0.046964462 -0.076096856 - actual$covM1$Item12[3, ] -0.008519927 0.020013134 0.018704904 0.005060975 -0.008230865 + expected$covM1$Item12[3, ] -0.008519885 0.020012948 0.018704794 0.005060961 -0.008230804 - actual$covM1$Item12[4, ] -0.014343742 0.046964112 0.005060975 0.013966477 -0.016617976 + expected$covM1$Item12[4, ] -0.014343801 0.046964462 0.005060961 0.013966661 -0.016618144 - actual$covM1$Item12[5, ] -0.021811018 -0.076096618 -0.008230865 -0.016617976 0.036582307 + expected$covM1$Item12[5, ] -0.021811109 -0.076096856 -0.008230804 -0.016618144 0.036582479 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.128872845 -0.02385230 -0.022064784 -0.021673307 -0.005906705 + expected$covM1$Item13[1, ] 0.128865709 -0.02384182 -0.022063888 -0.021667199 -0.005907433 - actual$covM1$Item13[2, ] -0.023852297 0.24416248 0.057760533 0.051010234 -0.026217950 + expected$covM1$Item13[2, ] -0.023841819 0.24416968 0.057756147 0.051000869 -0.026215418 - actual$covM1$Item13[3, ] -0.022064784 0.05776053 0.047150586 0.012427634 -0.006425396 + expected$covM1$Item13[3, ] -0.022063888 0.05775615 0.047152638 0.012424076 -0.006424125 - actual$covM1$Item13[4, ] -0.021673307 0.05101023 0.012427634 0.013695066 -0.004606209 + expected$covM1$Item13[4, ] -0.021667199 0.05100087 0.012424076 0.013690074 -0.004604716 - actual$covM1$Item13[5, ] -0.005906705 -0.02621795 -0.006425396 -0.004606209 0.003788128 + expected$covM1$Item13[5, ] -0.005907433 -0.02621542 -0.006424125 -0.004604716 0.003787412 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.232531884 -0.06075153 -0.01297414 -0.10288055 -0.006204069 + expected$covM1$Item15[1, ] 0.232526852 -0.06074430 -0.01297156 -0.10287306 -0.006208619 - actual$covM1$Item15[2, ] -0.060751533 0.30146490 0.04301063 0.24057756 -0.199512092 + expected$covM1$Item15[2, ] -0.060744299 0.30146342 0.04300264 0.24057316 -0.199512116 - actual$covM1$Item15[3, ] -0.012974141 0.04301063 0.01475292 0.03455350 -0.028672418 + expected$covM1$Item15[3, ] -0.012971563 0.04300264 0.01475066 0.03454663 -0.028667228 - actual$covM1$Item15[4, ] -0.102880552 0.24057756 0.03455350 0.20724753 -0.149021471 + expected$covM1$Item15[4, ] -0.102873057 0.24057316 0.03454663 0.20724102 -0.149019468 - actual$covM1$Item15[5, ] -0.006204069 -0.19951209 -0.02867242 -0.14902147 0.143438624 + expected$covM1$Item15[5, ] -0.006208619 -0.19951212 -0.02866723 -0.14901947 0.143439382 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.054482544 -0.002616151 -0.0059813533 -0.0073820090 -0.0118200878 + expected$covM1$Item16[1, ] 0.054482631 -0.002616035 -0.0059813191 -0.0073820407 -0.0118201626 - actual$covM1$Item16[2, ] -0.002616151 0.100876656 0.0014046509 0.0222770369 -0.0397189646 + expected$covM1$Item16[2, ] -0.002616035 0.100876651 0.0014046713 0.0222772350 -0.0397191188 - actual$covM1$Item16[3, ] -0.005981353 0.001404651 0.0119201588 0.0003188097 -0.0005712760 + expected$covM1$Item16[3, ] -0.005981319 0.001404671 0.0119201223 0.0003188151 -0.0005712869 - actual$covM1$Item16[4, ] -0.007382009 0.022277037 0.0003188097 0.0062834796 -0.0075098402 + expected$covM1$Item16[4, ] -0.007382041 0.022277235 0.0003188151 0.0062835822 -0.0075099410 - actual$covM1$Item16[5, ] -0.011820088 -0.039718965 -0.0005712760 -0.0075098402 0.0197686138 + expected$covM1$Item16[5, ] -0.011820163 -0.039719119 -0.0005712869 -0.0075099410 0.0197687456 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.055526587 -0.005107724 -0.005777831 -0.008518784 -0.012020509 + expected$covM1$Item18[1, ] 0.055526581 -0.005107706 -0.005777826 -0.008518781 -0.012020516 - actual$covM1$Item18[2, ] -0.005107724 0.097106512 0.012484484 0.024001282 -0.045575964 + expected$covM1$Item18[2, ] -0.005107706 0.097106516 0.012484487 0.024001287 -0.045575976 - actual$covM1$Item18[3, ] -0.005777831 0.012484484 0.011950247 0.003163198 -0.006030888 + expected$covM1$Item18[3, ] -0.005777826 0.012484487 0.011950246 0.003163199 -0.006030892 - actual$covM1$Item18[4, ] -0.008518784 0.024001282 0.003163198 0.007396646 -0.009759207 + expected$covM1$Item18[4, ] -0.008518781 0.024001287 0.003163199 0.007396648 -0.009759212 - actual$covM1$Item18[5, ] -0.012020509 -0.045575964 -0.006030888 -0.009759207 0.026382114 + expected$covM1$Item18[5, ] -0.012020516 -0.045575976 -0.006030892 -0.009759212 0.026382125 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.078027926 -0.01036264 -0.006297070 -0.018930362 -0.012313163 + expected$covM1$Item19[1, ] 0.078027865 -0.01036266 -0.006297082 -0.018930344 -0.012313140 - actual$covM1$Item19[2, ] -0.010362636 0.12480409 0.020498902 0.052043046 -0.059447447 + expected$covM1$Item19[2, ] -0.010362665 0.12480452 0.020498987 0.052043164 -0.059447623 - actual$covM1$Item19[3, ] -0.006297070 0.02049890 0.012698783 0.008692298 -0.009960841 + expected$covM1$Item19[3, ] -0.006297082 0.02049899 0.012698805 0.008692324 -0.009960876 - actual$covM1$Item19[4, ] -0.018930362 0.05204305 0.008692298 0.025333645 -0.022091699 + expected$covM1$Item19[4, ] -0.018930344 0.05204316 0.008692324 0.025333659 -0.022091746 - actual$covM1$Item19[5, ] -0.012313163 -0.05944745 -0.009960841 -0.022091699 0.033300060 + expected$covM1$Item19[5, ] -0.012313140 -0.05944762 -0.009960876 -0.022091746 0.033300125 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.085480523 -0.00171849 -0.010946815 -0.005364381 -0.022613779 + expected$covM1$Item20[1, ] 0.085480392 -0.00171942 -0.010946766 -0.005364424 -0.022613297 - actual$covM1$Item20[2, ] -0.001718490 0.15586900 -0.023641741 0.016043065 -0.066798906 + expected$covM1$Item20[2, ] -0.001719420 0.15586933 -0.023641348 0.016042894 -0.066798608 - actual$covM1$Item20[3, ] -0.010946815 -0.02364174 0.026229532 -0.002529147 0.010504313 + expected$covM1$Item20[3, ] -0.010946766 -0.02364135 0.026229599 -0.002529074 0.010504071 - actual$covM1$Item20[4, ] -0.005364381 0.01604306 -0.002529147 0.002297105 -0.005781561 + expected$covM1$Item20[4, ] -0.005364424 0.01604289 -0.002529074 0.002297059 -0.005781457 - actual$covM1$Item20[5, ] -0.022613779 -0.06679891 0.010504313 -0.005781561 0.036901804 + expected$covM1$Item20[5, ] -0.022613297 -0.06679861 0.010504071 -0.005781457 0.036901456 ── Failure ('test-difNLR.R:118:3'): difNLR - examples at help page ───────────── Expected `fit9` to equal `fit9_expected`. Differences: `actual$nlrPAR[[7]]`: 0.552188439 0.689291692 0.272423602 0.000000000 `expected$nlrPAR[[7]]`: 0.552188451 0.689291690 0.272423576 0.000000000 `actual$nlrPAR[[11]]`: 0.869532084 0.855467486 -0.059397638 0.000000000 `expected$nlrPAR[[11]]`: 0.869532116 0.855467487 -0.059397705 0.000000000 `actual$nlrSE[[7]]`: 0.067721747 0.056696510 0.096835714 0.000000000 `expected$nlrSE[[7]]`: 0.067721748 0.056696509 0.096835717 0.000000000 `actual$nlrSE[[11]]`: 0.074493944 0.061760811 0.098475235 0.000000000 `expected$nlrSE[[11]]`: 0.074493946 0.061760811 0.098475240 0.000000000 `actual$parM0$Item7`: 0.552188439 0.689291692 0.272423602 `expected$parM0$Item7`: 0.552188451 0.689291690 0.272423576 `actual$parM0$Item11`: 0.869532084 0.855467486 -0.059397638 `expected$parM0$Item11`: 0.869532116 0.855467487 -0.059397705 `actual$seM0$Item7`: 0.067721747 0.056696510 0.096835714 `expected$seM0$Item7`: 0.067721748 0.056696509 0.096835717 `actual$seM0$Item11`: 0.074493944 0.061760811 0.098475235 `expected$seM0$Item11`: 0.074493946 0.061760811 0.098475240 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.0050070127 0.0009315839 -0.0049530136 + expected$covM0$Item2[1, ] 0.0050070126 0.0009315837 -0.0049530136 - actual$covM0$Item2[2, ] 0.0009315839 0.0037650415 -0.0007133438 + expected$covM0$Item2[2, ] 0.0009315837 0.0037650414 -0.0007133436 - actual$covM0$Item2[3, ] -0.0049530136 -0.0007133438 0.0093643981 + expected$covM0$Item2[3, ] -0.0049530136 -0.0007133436 0.0093643984 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] - actual$covM0$Item7[1, ] 0.0045862351 0.0007942599 -0.0042944437 + expected$covM0$Item7[1, ] 0.0045862352 0.0007942599 -0.0042944438 - actual$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866655 + expected$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866656 - actual$covM0$Item7[3, ] -0.0042944437 0.0003866655 0.0093771555 + expected$covM0$Item7[3, ] -0.0042944438 0.0003866656 0.0093771560 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] - actual$covM0$Item11[1, ] 0.005549348 0.0015599483 -0.0049548517 + expected$covM0$Item11[1, ] 0.005549348 0.0015599488 -0.0049548523 - actual$covM0$Item11[2, ] 0.001559948 0.0038143978 -0.0001062823 + expected$covM0$Item11[2, ] 0.001559949 0.0038143977 -0.0001062835 - actual$covM0$Item11[3, ] -0.004954852 -0.0001062823 0.0096973719 + expected$covM0$Item11[3, ] -0.004954852 -0.0001062835 0.0096973729 `actual$parM1$Item7`: 0.559439988 0.719833883 0.252572198 -0.063833226 `expected$parM1$Item7`: 0.559439989 0.719833875 0.252572202 -0.063833206 `actual$seM1$Item7`: 0.069709755 0.079613909 0.102734355 0.113448572 `expected$seM1$Item7`: 0.069709754 0.079613908 0.102734368 0.113448579 `actual$seM1$Item19`: 0.069491056 0.092708459 0.095301322 0.121809930 `expected$seM1$Item19`: 0.069491060 0.092708460 0.095301328 0.121809932 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] actual$covM1$Item7[1, ] 0.004859450 0.001607575 -0.004859450 -0.001607575 - actual$covM1$Item7[2, ] 0.001607575 0.006338374 -0.001607574 -0.006338374 + expected$covM1$Item7[2, ] 0.001607575 0.006338374 -0.001607575 -0.006338374 - actual$covM1$Item7[3, ] -0.004859450 -0.001607574 0.010554348 0.003928014 + expected$covM1$Item7[3, ] -0.004859450 -0.001607575 0.010554350 0.003928018 - actual$covM1$Item7[4, ] -0.001607575 -0.006338374 0.003928014 0.012870579 + expected$covM1$Item7[4, ] -0.001607575 -0.006338374 0.003928018 0.012870580 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] - actual$covM1$Item19[1, ] 0.0048290069 -0.0007476832 -0.0048290071 0.0007476829 + expected$covM1$Item19[1, ] 0.0048290074 -0.0007476829 -0.0048290075 0.0007476827 - actual$covM1$Item19[2, ] -0.0007476832 0.0085948584 0.0007476834 -0.0085948582 + expected$covM1$Item19[2, ] -0.0007476829 0.0085948585 0.0007476831 -0.0085948585 - actual$covM1$Item19[3, ] -0.0048290071 0.0007476834 0.0090823419 -0.0008085010 + expected$covM1$Item19[3, ] -0.0048290075 0.0007476831 0.0090823431 -0.0008085006 - actual$covM1$Item19[4, ] 0.0007476829 -0.0085948582 -0.0008085010 0.0148376591 + expected$covM1$Item19[4, ] 0.0007476827 -0.0085948585 -0.0008085006 0.0148376595 ── Failure ('test-difNLR.R:125:3'): difNLR - examples at help page ───────────── Expected `fit10` to equal `fit10_expected`. Differences: actual$Sval | expected$Sval [1] 17.361216722 - 17.361216723 [1] [2] 17.530657768 - 17.530658537 [2] [3] 0.033715447 | 0.033715447 [3] [4] 0.023932494 | 0.023932494 [4] [5] 0.000672725 | 0.000672725 [5] [6] 0.050701808 | 0.050701808 [6] [7] 3.309456762 | 3.309456762 [7] [8] 1.355637176 - 1.355637177 [8] [9] 0.193592961 - 0.193592964 [9] [10] 0.476012745 - 0.476012747 [10] ... ... ... and 10 more ... actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] 0.3522164 - 0.3522154 [1] [2] 1.1628554 - 1.1628422 [2] [3] -1.1548150 - -1.1547911 [3] [4] 0.1343236 - 0.1343193 [4] [5] 0.9788198 - 0.9788227 [5] [6] 0.0211802 - 0.0211773 [6] actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.9730745 - 0.9730623 [1] [2] 1.1284503 - 1.1284707 [2] [3] -1.0220872 - -1.0220973 [3] [4] 0.0819974 - 0.0820023 [4] [5] 0.8459763 - 0.8459750 [5] [6] 0.1540237 - 0.1540250 [6] actual$nlrPAR[[3]] | expected$nlrPAR[[3]] [1] 1.559325616 - 1.559322808 [1] [2] 0.925372282 - 0.925370930 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.891940685 - 0.891941040 [5] [6] 0.019271697 - 0.019271712 [6] actual$nlrPAR[[4]] | expected$nlrPAR[[4]] [1] 1.370355183 - 1.370347660 [1] [2] 0.703481071 - 0.703483039 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.091938415 - 0.091943776 [4] [5] 0.961753022 - 0.961752957 [5] [6] 0.038246978 - 0.038247043 [6] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.051677451 - 0.051677078 [4] [5] 0.997704129 - 0.997704122 [5] [6] 0.002295871 - 0.002295878 [6] actual$nlrPAR[[12]] | expected$nlrPAR[[12]] [1] -0.33050026 - -0.33049667 [1] [2] 0.92059130 - 0.92058988 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.21394314 - 0.21394223 [4] [5] 0.97582647 - 0.97582636 [5] [6] 0.02417353 - 0.02417364 [6] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] 0.661473489 - 0.661475683 [1] [2] 0.968249025 - 0.968251658 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.351005488 - 0.351005982 [4] [5] 0.947240418 - 0.947239791 [5] [6] 0.039604464 - 0.039604518 [6] actual$nlrPAR[[16]] | expected$nlrPAR[[16]] [1] -0.5041706 - -0.5041613 [1] [2] 1.0814097 - 1.0814053 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0768306 - 0.0768282 [4] [5] 1.0000000 | 1.0000000 [5] [6] 0.0000000 | 0.0000000 [6] actual$nlrPAR[[17]] | expected$nlrPAR[[17]] [1] -0.38705474 - -0.38701781 [1] [2] 0.67622539 - 0.67621136 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.08912856 - 0.08911714 [4] [5] 0.93325607 - 0.93325540 [5] [6] 0.06674393 - 0.06674460 [6] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.508888829 - -0.508888930 [1] [2] 1.031919172 - 1.031919231 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.031011704 - 0.031011734 [4] [5] 0.966871415 | 0.966871415 [5] [6] 0.033128585 | 0.033128585 [6] actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$nlrPAR[[20]] | expected$nlrPAR[[20]] [1] -1.30687434 - -1.30688602 [1] [2] 1.27596172 - 1.27596932 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.20314375 - 0.20314506 [4] [5] 1.00000000 | 1.00000000 [5] [6] -0.04483632 - -0.04483572 [6] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.244158599 - 0.244158657 [1] [2] 0.291675026 - 0.291674027 [2] [3] 0.341278122 - 0.341276339 [3] [4] 0.067338242 - 0.067339936 [4] [5] 0.083501697 - 0.083503183 [5] [6] 0.105691321 - 0.105691296 [6] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.27892017 - 0.27891845 [1] [2] 0.32564399 - 0.32564338 [2] [3] 0.29558745 - 0.29558692 [3] [4] 0.11291167 - 0.11290662 [4] [5] 0.06150765 - 0.06150649 [5] [6] 0.07960724 - 0.07960666 [6] actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.502732434 - 0.502733035 [1] [2] 0.466461979 - 0.466462102 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.542909142 - 0.542909937 [4] [5] 0.065382881 - 0.065383111 [5] [6] 0.024213777 - 0.024213787 [6] actual$nlrSE[[4]] | expected$nlrSE[[4]] [1] 0.844006898 - 0.843998826 [1] [2] 0.543528693 - 0.543529167 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.883264997 - 0.883251051 [4] [5] 0.106288061 - 0.106287822 [5] [6] 0.023778906 - 0.023778949 [6] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.477252118 - 0.477252149 [4] [5] 0.143832805 - 0.143832803 [5] [6] 0.030632741 | 0.030632741 [6] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.433897776 - 0.433898621 [4] [5] 0.286004872 - 0.286005089 [5] [6] 0.036888569 - 0.036888559 [6] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.332017493 - 0.332017614 [1] [2] 0.437531591 - 0.437531524 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.122381857 - 0.122382484 [4] [5] 0.184790092 - 0.184790235 [5] [6] 0.045082979 - 0.045082924 [6] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.380291318 - 0.380290817 [1] [2] 0.487054919 - 0.487054921 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.192977603 - 0.192976694 [4] [5] 0.082621362 - 0.082620883 [5] [6] 0.028677684 - 0.028677666 [6] actual$nlrSE[[16]] | expected$nlrSE[[16]] [1] 0.226830270 - 0.226830358 [1] [2] 0.317625646 - 0.317625371 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.079105873 - 0.079106810 [4] [5] 0.142260702 - 0.142261074 [5] [6] 0.044847827 - 0.044847700 [6] actual$nlrSE[[17]] | expected$nlrSE[[17]] [1] 0.46999990 - 0.47000361 [1] [2] 0.52702339 - 0.52702666 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.22551862 - 0.22553437 [4] [5] 0.39826325 - 0.39827087 [5] [6] 0.05207224 - 0.05207152 [6] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.229165333 - 0.229165340 [1] [2] 0.313859053 - 0.313859107 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.084665075 - 0.084665069 [4] [5] 0.154396751 - 0.154396749 [5] [6] 0.045079805 - 0.045079807 [6] actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.28424666 - 0.28424653 [1] [2] 0.40295921 - 0.40295954 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.04489788 - 0.04489736 [4] [5] 0.18144840 - 0.18144733 [5] [6] 0.06188552 - 0.06188565 [6] `actual$parM0$Item2`: 0.1428909 1.0783752 0.1290609 1.0000000 -0.0766246 `expected$parM0$Item2`: 0.1428665 1.0784005 0.1290731 1.0000000 -0.0766302 actual$parM0$Item3 | expected$parM0$Item3 [1] 1.559325616 - 1.559322808 [1] [2] 0.925372282 - 0.925370930 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.891940685 - 0.891941040 [4] [5] 0.019271697 - 0.019271712 [5] actual$parM0$Item4 | expected$parM0$Item4 [1] 1.370355183 - 1.370347660 [1] [2] 0.703481071 - 0.703483039 [2] [3] 0.091938415 - 0.091943776 [3] [4] 0.961753022 - 0.961752957 [4] [5] 0.038246978 - 0.038247043 [5] actual$parM0$Item9 | expected$parM0$Item9 [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.051677451 - 0.051677078 [3] [4] 0.997704129 - 0.997704122 [4] [5] 0.002295871 - 0.002295878 [5] `actual$parM0$Item12`: -0.33050026 0.92059130 0.21394314 0.97582647 0.02417353 `expected$parM0$Item12`: -0.33049667 0.92058988 0.21394223 0.97582636 0.02417364 actual$parM0$Item13 | expected$parM0$Item13 [1] 0.661473489 - 0.661475683 [1] [2] 0.968249025 - 0.968251658 [2] [3] 0.351005488 - 0.351005982 [3] [4] 0.947240418 - 0.947239791 [4] [5] 0.039604464 - 0.039604518 [5] `actual$parM0$Item16`: -0.5041706 1.0814097 0.0768306 1.0000000 0.0000000 `expected$parM0$Item16`: -0.5041613 1.0814053 0.0768282 1.0000000 0.0000000 `actual$parM0$Item17`: -0.38705474 0.67622539 0.08912856 0.93325607 0.06674393 `expected$parM0$Item17`: -0.38701781 0.67621136 0.08911714 0.93325540 0.06674460 actual$parM0$Item18 | expected$parM0$Item18 [1] -0.508888829 - -0.508888930 [1] [2] 1.031919172 - 1.031919231 [2] [3] 0.031011704 - 0.031011734 [3] [4] 0.966871415 | 0.966871415 [4] [5] 0.033128585 | 0.033128585 [5] actual$parM0$Item20 | expected$parM0$Item20 [1] -1.30687434 - -1.30688602 [1] [2] 1.27596172 - 1.27596932 [2] [3] 0.20314375 - 0.20314506 [3] [4] 1.00000000 | 1.00000000 [4] [5] -0.04483632 - -0.04483572 [5] `actual$seM0$Item2`: 0.24677535 0.34322307 0.11349660 0.09926591 0.03643916 `expected$seM0$Item2`: 0.24677318 0.34322323 0.11348925 0.09926321 0.03643944 actual$seM0$Item3 | expected$seM0$Item3 [1] 0.502732434 - 0.502733035 [1] [2] 0.466461979 - 0.466462102 [2] [3] 0.542909142 - 0.542909937 [3] [4] 0.065382881 - 0.065383111 [4] [5] 0.024213777 - 0.024213787 [5] actual$seM0$Item4 | expected$seM0$Item4 [1] 0.844006898 - 0.843998826 [1] [2] 0.543528693 - 0.543529167 [2] [3] 0.883264997 - 0.883251051 [3] [4] 0.106288061 - 0.106287822 [4] [5] 0.023778906 - 0.023778949 [5] actual$seM0$Item7 | expected$seM0$Item7 [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.477252118 - 0.477252149 [3] [4] 0.143832805 - 0.143832803 [4] [5] 0.030632741 | 0.030632741 [5] actual$seM0$Item9 | expected$seM0$Item9 [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.433897776 - 0.433898621 [3] [4] 0.286004872 - 0.286005089 [4] [5] 0.036888569 - 0.036888559 [5] actual$seM0$Item12 | expected$seM0$Item12 [1] 0.332017493 - 0.332017614 [1] [2] 0.437531591 - 0.437531524 [2] [3] 0.122381857 - 0.122382484 [3] [4] 0.184790092 - 0.184790235 [4] [5] 0.045082979 - 0.045082924 [5] actual$seM0$Item13 | expected$seM0$Item13 [1] 0.380291318 - 0.380290817 [1] [2] 0.487054919 - 0.487054921 [2] [3] 0.192977603 - 0.192976694 [3] [4] 0.082621362 - 0.082620883 [4] [5] 0.028677684 - 0.028677666 [5] actual$seM0$Item16 | expected$seM0$Item16 [1] 0.226830270 - 0.226830358 [1] [2] 0.317625646 - 0.317625371 [2] [3] 0.079105873 - 0.079106810 [3] [4] 0.142260702 - 0.142261074 [4] [5] 0.044847827 - 0.044847700 [5] `actual$seM0$Item17`: 0.46999990 0.52702339 0.22551862 0.39826325 0.05207224 `expected$seM0$Item17`: 0.47000361 0.52702666 0.22553437 0.39827087 0.05207152 actual$seM0$Item18 | expected$seM0$Item18 [1] 0.229165333 - 0.229165340 [1] [2] 0.313859053 - 0.313859107 [2] [3] 0.084665075 - 0.084665069 [3] [4] 0.154396751 - 0.154396749 [4] [5] 0.045079805 - 0.045079807 [5] `actual$seM0$Item20`: 0.28424666 0.40295921 0.04489788 0.18144840 0.06188552 `expected$seM0$Item20`: 0.28424653 0.40295954 0.04489736 0.18144733 0.06188565 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item2[1, ] 0.060898071 -0.0013525890 -1.140363e-02 -0.009817049 1.476105e-03 + expected$covM0$Item2[1, ] 0.060897003 -0.0013519911 -1.140277e-02 -0.009817005 1.476183e-03 - actual$covM0$Item2[2, ] -0.001352589 0.1178020734 3.462824e-02 -0.029227302 7.117625e-04 + expected$covM0$Item2[2, ] -0.001351991 0.1178021874 3.462582e-02 -0.029226320 7.118588e-04 - actual$covM0$Item2[3, ] -0.011403627 0.0346282387 1.288148e-02 -0.007191200 -5.909539e-05 + expected$covM0$Item2[3, ] -0.011402771 0.0346258153 1.287981e-02 -0.007190398 -5.908444e-05 - actual$covM0$Item2[4, ] -0.009817049 -0.0292273019 -7.191200e-03 0.009853721 -1.067770e-03 + expected$covM0$Item2[4, ] -0.009817005 -0.0292263197 -7.190398e-03 0.009853186 -1.067807e-03 - actual$covM0$Item2[5, ] 0.001476105 0.0007117625 -5.909539e-05 -0.001067770 1.327813e-03 + expected$covM0$Item2[5, ] 0.001476183 0.0007118588 -5.908444e-05 -0.001067807 1.327833e-03 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item3[1, ] 0.2527398998 -0.1160480250 -0.2095225794 0.0053572820 -0.0009003611 + expected$covM0$Item3[1, ] 0.2527405043 -0.1160484895 -0.2095233216 0.0053573625 -0.0009003657 - actual$covM0$Item3[2, ] -0.1160480250 0.2175867780 0.2354393736 -0.0271676659 0.0005548035 + expected$covM0$Item3[2, ] -0.1160484895 0.2175868924 0.2354398197 -0.0271677795 0.0005548059 - actual$covM0$Item3[3, ] -0.2095225794 0.2354393736 0.2947503368 -0.0260668881 0.0008662254 + expected$covM0$Item3[3, ] -0.2095233216 0.2354398197 0.2947511996 -0.0260670390 0.0008662298 - actual$covM0$Item3[4, ] 0.0053572820 -0.0271676659 -0.0260668881 0.0042749211 -0.0003318366 + expected$covM0$Item3[4, ] 0.0053573625 -0.0271677795 -0.0260670390 0.0042749512 -0.0003318372 - actual$covM0$Item3[5, ] -0.0009003611 0.0005548035 0.0008662254 -0.0003318366 0.0005863070 + expected$covM0$Item3[5, ] -0.0009003657 0.0005548059 0.0008662298 -0.0003318372 0.0005863075 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item4[1, ] 0.712347644 -0.328085169 -0.665187408 0.0434450756 -0.0057065628 + expected$covM0$Item4[1, ] 0.712334018 -0.328080797 -0.665168991 0.0434441520 -0.0057065351 - actual$covM0$Item4[2, ] -0.328085169 0.295423441 0.456099525 -0.0542842416 0.0028357335 + expected$covM0$Item4[2, ] -0.328080797 0.295423955 0.456092682 -0.0542841521 0.0028357484 - actual$covM0$Item4[3, ] -0.665187408 0.456099525 0.780157055 -0.0770812908 0.0055440214 + expected$covM0$Item4[3, ] -0.665168991 0.456092682 0.780132419 -0.0770798607 0.0055439604 - actual$covM0$Item4[4, ] 0.043445076 -0.054284242 -0.077081291 0.0112971518 -0.0006570195 + expected$covM0$Item4[4, ] 0.043444152 -0.054284152 -0.077079861 0.0112971012 -0.0006570207 - actual$covM0$Item4[5, ] -0.005706563 0.002835733 0.005544021 -0.0006570195 0.0005654364 + expected$covM0$Item4[5, ] -0.005706535 0.002835748 0.005543960 -0.0006570207 0.0005654384 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item7[1, ] 0.212362808 -0.094143900 -0.156584884 0.0119019143 -0.0037323225 + expected$covM0$Item7[1, ] 0.212362860 -0.094143928 -0.156584925 0.0119019169 -0.0037323230 - actual$covM0$Item7[2, ] -0.094143900 0.198520630 0.200777938 -0.0601200805 0.0016901313 + expected$covM0$Item7[2, ] -0.094143928 0.198520639 0.200777955 -0.0601200800 0.0016901308 - actual$covM0$Item7[3, ] -0.156584884 0.200777938 0.227769584 -0.0556754197 0.0027817835 + expected$covM0$Item7[3, ] -0.156584925 0.200777955 0.227769613 -0.0556754204 0.0027817831 - actual$covM0$Item7[4, ] 0.011901914 -0.060120080 -0.055675420 0.0206878757 -0.0006579880 + expected$covM0$Item7[4, ] 0.011901917 -0.060120080 -0.055675420 0.0206878753 -0.0006579877 - actual$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579880 0.0009383648 + expected$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579877 0.0009383648 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item9[1, ] 0.2160098974 -6.476477e-02 -1.030129e-01 -0.0022779940 -1.760865e-04 + expected$covM0$Item9[1, ] 0.2160100606 -6.476500e-02 -1.030133e-01 -0.0022778702 -1.760864e-04 - actual$covM0$Item9[2, ] -0.0647647690 2.836012e-01 2.213988e-01 -0.1449467105 1.480259e-05 + expected$covM0$Item9[2, ] -0.0647650005 2.836015e-01 2.213994e-01 -0.1449469175 1.480101e-05 - actual$covM0$Item9[3, ] -0.1030129342 2.213988e-01 1.882673e-01 -0.1051302805 5.657609e-05 + expected$covM0$Item9[3, ] -0.1030132619 2.213994e-01 1.882680e-01 -0.1051305951 5.657496e-05 - actual$covM0$Item9[4, ] -0.0022779940 -1.449467e-01 -1.051303e-01 0.0817987867 -6.575088e-04 + expected$covM0$Item9[4, ] -0.0022778702 -1.449469e-01 -1.051306e-01 0.0817989109 -6.575075e-04 - actual$covM0$Item9[5, ] -0.0001760865 1.480259e-05 5.657609e-05 -0.0006575088 1.360767e-03 + expected$covM0$Item9[5, ] -0.0001760864 1.480101e-05 5.657496e-05 -0.0006575075 1.360766e-03 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item12[1, ] 0.110235616 0.0056311644 -1.267221e-02 -0.0240119470 -1.135891e-03 + expected$covM0$Item12[1, ] 0.110235696 0.0056311406 -1.267228e-02 -0.0240119428 -1.135896e-03 - actual$covM0$Item12[2, ] 0.005631164 0.1914338930 4.891929e-02 -0.0735052966 -8.883662e-04 + expected$covM0$Item12[2, ] 0.005631141 0.1914338346 4.891955e-02 -0.0735053598 -8.883649e-04 - actual$covM0$Item12[3, ] -0.012672215 0.0489192890 1.497732e-02 -0.0166032350 -8.474088e-05 + expected$covM0$Item12[3, ] -0.012672280 0.0489195461 1.497747e-02 -0.0166033456 -8.474056e-05 - actual$covM0$Item12[4, ] -0.024011947 -0.0735052966 -1.660323e-02 0.0341473780 -4.471782e-04 + expected$covM0$Item12[4, ] -0.024011943 -0.0735053598 -1.660335e-02 0.0341474308 -4.471749e-04 - actual$covM0$Item12[5, ] -0.001135891 -0.0008883662 -8.474088e-05 -0.0004471782 2.032475e-03 + expected$covM0$Item12[5, ] -0.001135896 -0.0008883649 -8.474056e-05 -0.0004471749 2.032470e-03 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item13[1, ] 0.144621487 -0.0250044720 -0.0359607869 -0.0067896009 -0.0015065413 + expected$covM0$Item13[1, ] 0.144621105 -0.0250040336 -0.0359604733 -0.0067896313 -0.0015065367 - actual$covM0$Item13[2, ] -0.025004472 0.2372224941 0.0858856842 -0.0358947002 0.0001366984 + expected$covM0$Item13[2, ] -0.025004034 0.2372224957 0.0858852456 -0.0358944696 0.0001366962 - actual$covM0$Item13[3, ] -0.035960787 0.0858856842 0.0372403553 -0.0114542106 0.0003322679 + expected$covM0$Item13[3, ] -0.035960473 0.0858852456 0.0372400043 -0.0114540739 0.0003322655 - actual$covM0$Item13[4, ] -0.006789601 -0.0358947002 -0.0114542106 0.0068262895 -0.0003128964 + expected$covM0$Item13[4, ] -0.006789631 -0.0358944696 -0.0114540739 0.0068262103 -0.0003128961 - actual$covM0$Item13[5, ] -0.001506541 0.0001366984 0.0003322679 -0.0003128964 0.0008224096 + expected$covM0$Item13[5, ] -0.001506537 0.0001366962 0.0003322655 -0.0003128961 0.0008224085 actual$covM0$Item16 vs expected$covM0$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item16[1, ] 5.145197e-02 -1.945689e-03 -7.215139e-03 -0.012085237 -1.665335e-16 + expected$covM0$Item16[1, ] 5.145201e-02 -1.945515e-03 -7.215178e-03 -0.012085311 6.591949e-17 - actual$covM0$Item16[2, ] -1.945689e-03 1.008861e-01 2.222823e-02 -0.039681673 -5.134781e-16 + expected$covM0$Item16[2, ] -1.945515e-03 1.008859e-01 2.222850e-02 -0.039681778 2.706169e-16 - actual$covM0$Item16[3, ] -7.215139e-03 2.222823e-02 6.257739e-03 -0.007484560 -9.627715e-17 + expected$covM0$Item16[3, ] -7.215178e-03 2.222850e-02 6.257887e-03 -0.007484688 5.290907e-17 - actual$covM0$Item16[4, ] -1.208524e-02 -3.968167e-02 -7.484560e-03 0.020238107 -1.005664e-03 + expected$covM0$Item16[4, ] -1.208531e-02 -3.968178e-02 -7.484688e-03 0.020238213 -1.005658e-03 - actual$covM0$Item16[5, ] -1.665335e-16 -5.134781e-16 -9.627715e-17 -0.001005664 2.011328e-03 + expected$covM0$Item16[5, ] 6.591949e-17 2.706169e-16 5.290907e-17 -0.001005658 2.011316e-03 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item17[1, ] 0.220899909 0.063060775 -0.003938132 -0.096549727 -0.007988273 + expected$covM0$Item17[1, ] 0.220903391 0.063058918 -0.003939229 -0.096549798 -0.007988350 - actual$covM0$Item17[2, ] 0.063060775 0.277753651 0.112613059 -0.199603673 -0.005653049 + expected$covM0$Item17[2, ] 0.063058918 0.277757105 0.112621848 -0.199609092 -0.005652894 - actual$covM0$Item17[3, ] -0.003938132 0.112613059 0.050858650 -0.074732503 -0.001334355 + expected$covM0$Item17[3, ] -0.003939229 0.112621848 0.050865750 -0.074739600 -0.001334374 - actual$covM0$Item17[4, ] -0.096549727 -0.199603673 -0.074732503 0.158613616 0.004535833 + expected$covM0$Item17[4, ] -0.096549798 -0.199609092 -0.074739600 0.158619688 0.004535847 - actual$covM0$Item17[5, ] -0.007988273 -0.005653049 -0.001334355 0.004535833 0.002711518 + expected$covM0$Item17[5, ] -0.007988350 -0.005652894 -0.001334374 0.004535847 0.002711444 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item18[1, ] 0.0525167499 0.0003233474 -7.087094e-03 -0.0136648837 -7.293543e-04 + expected$covM0$Item18[1, ] 0.0525167530 0.0003233403 -7.087094e-03 -0.0136648828 -7.293537e-04 - actual$covM0$Item18[2, ] 0.0003233474 0.0985075049 2.372801e-02 -0.0431393311 -7.047096e-04 + expected$covM0$Item18[2, ] 0.0003233403 0.0985075389 2.372801e-02 -0.0431393367 -7.047132e-04 - actual$covM0$Item18[3, ] -0.0070870935 0.0237280103 7.168175e-03 -0.0090113380 -7.055311e-05 + expected$covM0$Item18[3, ] -0.0070870943 0.0237280135 7.168174e-03 -0.0090113371 -7.055409e-05 - actual$covM0$Item18[4, ] -0.0136648837 -0.0431393311 -9.011338e-03 0.0238383568 -5.127081e-04 + expected$covM0$Item18[4, ] -0.0136648828 -0.0431393367 -9.011337e-03 0.0238383560 -5.127068e-04 - actual$covM0$Item18[5, ] -0.0007293543 -0.0007047096 -7.055311e-05 -0.0005127081 2.032189e-03 + expected$covM0$Item18[5, ] -0.0007293537 -0.0007047132 -7.055409e-05 -0.0005127068 2.032189e-03 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item20[1, ] 0.080796162 -0.020359587 -0.0068355422 -0.014236107 0.0013167562 + expected$covM0$Item20[1, ] 0.080796092 -0.020360526 -0.0068355428 -0.014235683 0.0013167167 - actual$covM0$Item20[2, ] -0.020359587 0.162376122 0.0151434957 -0.062778074 0.0023897305 + expected$covM0$Item20[2, ] -0.020360526 0.162376393 0.0151433002 -0.062777678 0.0023896946 - actual$covM0$Item20[3, ] -0.006835542 0.015143496 0.0020158201 -0.004851506 0.0001208842 + expected$covM0$Item20[3, ] -0.006835543 0.015143300 0.0020157725 -0.004851400 0.0001208804 - actual$covM0$Item20[4, ] -0.014236107 -0.062778074 -0.0048515063 0.032923522 -0.0032612581 + expected$covM0$Item20[4, ] -0.014235683 -0.062777678 -0.0048513999 0.032923134 -0.0032612366 - actual$covM0$Item20[5, ] 0.001316756 0.002389730 0.0001208842 -0.003261258 0.0038298177 + expected$covM0$Item20[5, ] 0.001316717 0.002389695 0.0001208804 -0.003261237 0.0038298339 actual$parM1$Item1 | expected$parM1$Item1 [1] 0.3522164 - 0.3522154 [1] [2] 1.1628554 - 1.1628422 [2] [3] -1.1548150 - -1.1547911 [3] [4] 0.1343236 - 0.1343193 [4] [5] 0.9788198 - 0.9788227 [5] [6] 0.0211802 - 0.0211773 [6] actual$parM1$Item2 | expected$parM1$Item2 [1] 0.9730745 - 0.9730623 [1] [2] 1.1284503 - 1.1284707 [2] [3] -1.0220872 - -1.0220973 [3] [4] 0.0819974 - 0.0820023 [4] [5] 0.8459763 - 0.8459750 [5] [6] 0.1540237 - 0.1540250 [6] actual$parM1$Item3 | expected$parM1$Item3 [1] 1.58391161 - 1.58390980 [1] [2] 0.92652999 - 0.92652947 [2] [3] -0.04434111 - -0.04433977 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.88842032 - 0.88842055 [5] [6] 0.02582253 - 0.02582235 [6] actual$parM1$Item4 | expected$parM1$Item4 [1] 1.31742041 - 1.31743143 [1] [2] 0.69924019 - 0.69923847 [2] [3] 0.03889977 - 0.03889712 [3] [4] 0.10164233 - 0.10163638 [4] [5] 0.96802661 - 0.96802628 [5] [6] 0.03197339 - 0.03197372 [6] actual$parM1$Item7 | expected$parM1$Item7 [1] 0.557582563 - 0.557582567 [1] [2] 0.712124973 - 0.712124987 [2] [3] 0.376374510 - 0.376374549 [3] [4] 0.000000000 | 0.000000000 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.030721341 - -0.030721351 [6] actual$parM1$Item8 | expected$parM1$Item8 [1] 0.37369286 - 0.37366610 [1] [2] 0.97941978 - 0.97943301 [2] [3] -0.35104328 - -0.35104442 [3] [4] 0.23483534 - 0.23484438 [4] [5] 0.88670197 - 0.88670130 [5] [6] 0.11329803 - 0.11329870 [6] actual$parM1$Item9 | expected$parM1$Item9 [1] 0.21059075 - 0.21058047 [1] [2] 0.66230127 - 0.66230203 [2] [3] 0.12122689 - 0.12121382 [3] [4] 0.06175724 - 0.06176228 [4] [5] 1.00000000 | 1.00000000 [5] [6] -0.03399225 - -0.03398806 [6] actual$parM1$Item10 | expected$parM1$Item10 [1] 0.16145075 - 0.16144182 [1] [2] 0.65676743 - 0.65676780 [2] [3] 0.14061890 - 0.14060469 [3] [4] 0.06100336 - 0.06100772 [4] [5] 1.00000000 | 1.00000000 [5] [6] -0.01685691 - -0.01685210 [6] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.8217973 - 0.8217999 [1] [2] 0.8928191 - 0.8928274 [2] [3] -0.0172571 - -0.0172997 [3] [4] 0.0355421 - 0.0355538 [4] [5] 1.0000000 | 1.0000000 [5] [6] -0.0147841 - -0.0147796 [6] actual$parM1$Item12 | expected$parM1$Item12 [1] -0.433879354 - -0.433877994 [1] [2] 0.921957306 - 0.921956480 [2] [3] 0.099763120 - 0.099763054 [3] [4] 0.220123677 - 0.220123328 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item13 | expected$parM1$Item13 [1] 0.51470837 - 0.51470742 [1] [2] 1.12597617 - 1.12598065 [2] [3] 0.18502702 - 0.18502470 [3] [4] 0.40484373 - 0.40484510 [4] [5] 0.94231767 - 0.94231712 [5] [6] 0.01518020 - 0.01518059 [6] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.054804694 - 0.054804718 [1] [2] 0.602405620 - 0.602404534 [2] [3] 0.120732813 - 0.120722474 [3] [4] 0.000000000 | 0.000000000 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.015114210 - -0.015110108 [6] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510654427 - -0.510654210 [1] [2] 1.080507996 - 1.080507944 [2] [3] 0.015599195 - 0.015598920 [3] [4] 0.076472713 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item17 | expected$parM1$Item17 [1] -0.565417091 - -0.565417083 [1] [2] 0.668092864 - 0.668092840 [2] [3] 0.188063032 - 0.188062853 [3] [4] 0.095143158 | 0.095143158 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.002212957 - -0.002212877 [6] actual$parM1$Item19 | expected$parM1$Item19 [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$parM1$Item20 | expected$parM1$Item20 [1] -1.19264580 - -1.19263706 [1] [2] 1.21870769 - 1.21870308 [2] [3] -0.19370834 - -0.19371091 [3] [4] 0.19584787 - 0.19584691 [4] [5] 1.00000000 | 1.00000000 [5] [6] 0.00000000 | 0.00000000 [6] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.244158599 - 0.244158657 [1] [2] 0.291675026 - 0.291674027 [2] [3] 0.341278122 - 0.341276339 [3] [4] 0.067338242 - 0.067339936 [4] [5] 0.083501697 - 0.083503183 [5] [6] 0.105691321 - 0.105691296 [6] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.27892017 - 0.27891845 [1] [2] 0.32564399 - 0.32564338 [2] [3] 0.29558745 - 0.29558692 [3] [4] 0.11291167 - 0.11290662 [4] [5] 0.06150765 - 0.06150649 [5] [6] 0.07960724 - 0.07960666 [6] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.523983440 - 0.523983750 [1] [2] 0.468580821 - 0.468580809 [2] [3] 0.242284118 - 0.242284142 [3] [4] 0.545102044 - 0.545102292 [4] [5] 0.065836527 - 0.065836635 [5] [6] 0.043302712 - 0.043302744 [6] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.919506290 - 0.919517805 [1] [2] 0.567693570 - 0.567695052 [2] [3] 0.278781541 - 0.278780639 [3] [4] 0.903640059 - 0.903659117 [4] [5] 0.109991108 - 0.109991304 [5] [6] 0.051005380 - 0.051005295 [6] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.515971308 - 0.515971341 [1] [2] 0.434907092 - 0.434907110 [2] [3] 0.303436153 - 0.303436189 [3] [4] 0.456730019 - 0.456730039 [4] [5] 0.168363776 - 0.168363774 [5] [6] 0.079816385 - 0.079816386 [6] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.36907791 - 0.36907801 [1] [2] 0.44153058 - 0.44153134 [2] [3] 0.31481507 - 0.31481859 [3] [4] 0.14596315 - 0.14595623 [4] [5] 0.10259331 - 0.10259226 [5] [6] 0.08911672 - 0.08911703 [6] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.48900242 - 0.48899985 [1] [2] 0.52280036 - 0.52280052 [2] [3] 0.30491162 - 0.30491287 [3] [4] 0.40295552 - 0.40294877 [4] [5] 0.27569953 - 0.27570046 [5] [6] 0.11103753 - 0.11103799 [6] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.49554985 - 0.49554751 [1] [2] 0.51799763 - 0.51799818 [2] [3] 0.31360685 - 0.31360760 [3] [4] 0.39476872 - 0.39476335 [4] [5] 0.28419455 - 0.28419578 [5] [6] 0.11396843 - 0.11396903 [6] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.321235041 - 0.321227844 [1] [2] 0.366685527 - 0.366684119 [2] [3] 0.216057368 - 0.216059189 [3] [4] 0.285358973 - 0.285346881 [4] [5] 0.098279056 - 0.098277317 [5] [6] 0.059399797 - 0.059399854 [6] actual$seM1$Item12 | expected$seM1$Item12 [1] 0.383353696 - 0.383353830 [1] [2] 0.435659073 - 0.435659161 [2] [3] 0.350389983 - 0.350389910 [3] [4] 0.118222389 - 0.118222686 [4] [5] 0.205472533 - 0.205472732 [5] [6] 0.124614197 - 0.124614214 [6] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.406683762 - 0.406683272 [1] [2] 0.494152562 - 0.494152882 [2] [3] 0.344586841 - 0.344587242 [3] [4] 0.131101410 - 0.131100082 [4] [5] 0.071859854 - 0.071859455 [5] [6] 0.054638786 - 0.054638698 [6] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.518610350 - 0.518609518 [1] [2] 0.545865514 - 0.545866110 [2] [3] 0.324778734 - 0.324778354 [3] [4] 0.450021873 - 0.450022570 [4] [5] 0.381853227 - 0.381854820 [5] [6] 0.134869288 - 0.134869385 [6] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.263698545 - 0.263698513 [1] [2] 0.317694306 - 0.317694305 [2] [3] 0.265000935 - 0.265001108 [3] [4] 0.079289066 - 0.079289074 [4] [5] 0.151292325 - 0.151292374 [5] [6] 0.108903022 - 0.108903021 [6] actual$seM1$Item17 | expected$seM1$Item17 [1] 0.545706311 - 0.545706323 [1] [2] 0.531585025 - 0.531584971 [2] [3] 0.426173825 - 0.426173837 [3] [4] 0.221915650 - 0.221915642 [4] [5] 0.479880463 - 0.479880461 [5] [6] 0.196364919 - 0.196364936 [6] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.32800331 - 0.32800310 [1] [2] 0.39582450 - 0.39582415 [2] [3] 0.39184379 - 0.39184352 [3] [4] 0.04796078 - 0.04796115 [4] [5] 0.20022352 - 0.20022404 [5] [6] 0.16242615 - 0.16242629 [6] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item1[1, ] 0.059613422 0.033895622 -0.03788908 0.0013905097 -0.0162713911 -0.0012268606 + expected$covM1$Item1[1, ] 0.059613450 0.033895451 -0.03788849 0.0013905550 -0.0162716520 -0.0012268058 - actual$covM1$Item1[2, ] 0.033895622 0.085074321 -0.05659230 0.0163628933 -0.0200489755 -0.0092489002 + expected$covM1$Item1[2, ] 0.033895451 0.085073738 -0.05659170 0.0163633066 -0.0200493442 -0.0092486969 - actual$covM1$Item1[3, ] -0.037889081 -0.056592301 0.11647076 -0.0140778629 0.0185983480 -0.0191013262 + expected$covM1$Item1[3, ] -0.037888488 -0.056591700 0.11646954 -0.0140781639 0.0185985489 -0.0191014640 - actual$covM1$Item1[4, ] 0.001390510 0.016362893 -0.01407786 0.0045344388 -0.0033524127 -0.0007070077 + expected$covM1$Item1[4, ] 0.001390555 0.016363307 -0.01407816 0.0045346669 -0.0033525866 -0.0007070006 - actual$covM1$Item1[5, ] -0.016271391 -0.020048976 0.01859835 -0.0033524127 0.0069725334 0.0005040654 + expected$covM1$Item1[5, ] -0.016271652 -0.020049344 0.01859855 -0.0033525866 0.0069727816 0.0005040511 - actual$covM1$Item1[6, ] -0.001226861 -0.009248900 -0.01910133 -0.0007070077 0.0005040654 0.0111706553 + expected$covM1$Item1[6, ] -0.001226806 -0.009248697 -0.01910146 -0.0007070006 0.0005040511 0.0111706500 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item2[1, ] 0.077796459 0.03645455 -0.043232356 0.001053448 -0.0127627154 -0.0023512083 + expected$covM1$Item2[1, ] 0.077795502 0.03645450 -0.043232744 0.001053418 -0.0127624706 -0.0023510213 - actual$covM1$Item2[2, ] 0.036454550 0.10604401 -0.052049933 0.032038926 -0.0158693155 -0.0120182341 + expected$covM1$Item2[2, ] 0.036454501 0.10604361 -0.052049456 0.032037316 -0.0158688601 -0.0120180478 - actual$covM1$Item2[3, ] -0.043232356 -0.05204993 0.087371940 -0.018067592 0.0127413555 -0.0086773373 + expected$covM1$Item2[3, ] -0.043232744 -0.05204946 0.087371628 -0.018066549 0.0127410816 -0.0086773384 - actual$covM1$Item2[4, ] 0.001053448 0.03203893 -0.018067592 0.012749045 -0.0042070053 -0.0025155422 + expected$covM1$Item2[4, ] 0.001053418 0.03203732 -0.018066549 0.012747904 -0.0042066758 -0.0025153879 - actual$covM1$Item2[5, ] -0.012762715 -0.01586932 0.012741355 -0.004207005 0.0037831915 0.0007161761 + expected$covM1$Item2[5, ] -0.012762471 -0.01586886 0.012741082 -0.004206676 0.0037830487 0.0007161043 - actual$covM1$Item2[6, ] -0.002351208 -0.01201823 -0.008677337 -0.002515542 0.0007161761 0.0063373128 + expected$covM1$Item2[6, ] -0.002351021 -0.01201805 -0.008677338 -0.002515388 0.0007161043 0.0063372197 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item3[1, ] 0.274558646 -0.119836257 -0.035376431 -0.214245199 0.0028584342 0.0047904822 + expected$covM1$Item3[1, ] 0.274558970 -0.119836488 -0.035376533 -0.214245549 0.0028584671 0.0047904900 - actual$covM1$Item3[2, ] -0.119836257 0.219567986 0.004694018 0.237608307 -0.0262372950 -0.0015761170 + expected$covM1$Item3[2, ] -0.119836488 0.219567975 0.004694152 0.237608422 -0.0262373422 -0.0015760960 - actual$covM1$Item3[3, ] -0.035376431 0.004694018 0.058701594 0.006219013 0.0039069809 -0.0086821575 + expected$covM1$Item3[3, ] -0.035376533 0.004694152 0.058701605 0.006219180 0.0039069696 -0.0086821686 - actual$covM1$Item3[4, ] -0.214245199 0.237608307 0.006219013 0.297136238 -0.0250393159 -0.0014964566 + expected$covM1$Item3[4, ] -0.214245549 0.237608422 0.006219180 0.297136509 -0.0250393742 -0.0014964408 - actual$covM1$Item3[5, ] 0.002858434 -0.026237295 0.003906981 -0.025039316 0.0043344483 -0.0007122021 + expected$covM1$Item3[5, ] 0.002858467 -0.026237342 0.003906970 -0.025039374 0.0043344625 -0.0007122066 - actual$covM1$Item3[6, ] 0.004790482 -0.001576117 -0.008682158 -0.001496457 -0.0007122021 0.0018751249 + expected$covM1$Item3[6, ] 0.004790490 -0.001576096 -0.008682169 -0.001496441 -0.0007122066 0.0018751276 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item4[1, ] 0.84549182 -0.386584423 -0.117704432 -0.746137161 0.0455763236 0.0113227776 + expected$covM1$Item4[1, ] 0.84551299 -0.386592790 -0.117704873 -0.746164504 0.0455777629 0.0113228784 - actual$covM1$Item4[2, ] -0.38658442 0.322275989 0.054566879 0.489632732 -0.0567960503 -0.0036354969 + expected$covM1$Item4[2, ] -0.38659279 0.322277672 0.054566626 0.489644535 -0.0567963466 -0.0036355950 - actual$covM1$Item4[3, ] -0.11770443 0.054566879 0.077719148 0.090915108 -0.0027904554 -0.0123827419 + expected$covM1$Item4[3, ] -0.11770487 0.054566626 0.077718645 0.090916307 -0.0027904548 -0.0123826952 - actual$covM1$Item4[4, ] -0.74613716 0.489632732 0.090915108 0.816565356 -0.0787108976 -0.0059678961 + expected$covM1$Item4[4, ] -0.74616450 0.489644535 0.090916307 0.816599800 -0.0787128583 -0.0059681281 - actual$covM1$Item4[5, ] 0.04557632 -0.056796050 -0.002790455 -0.078710898 0.0120980439 -0.0007038117 + expected$covM1$Item4[5, ] 0.04557776 -0.056796347 -0.002790455 -0.078712858 0.0120980870 -0.0007037845 - actual$covM1$Item4[6, ] 0.01132278 -0.003635497 -0.012382742 -0.005967896 -0.0007038117 0.0026015487 + expected$covM1$Item4[6, ] 0.01132288 -0.003635595 -0.012382695 -0.005968128 -0.0007037845 0.0026015401 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item7[1, ] 0.266226390 -0.113628936 -0.09733677 -0.174640218 0.009870484 0.013157214 + expected$covM1$Item7[1, ] 0.266226425 -0.113628963 -0.09733680 -0.174640246 0.009870488 0.013157219 - actual$covM1$Item7[2, ] -0.113628936 0.189144178 0.07184296 0.187418784 -0.065339142 0.007629050 + expected$covM1$Item7[2, ] -0.113628963 0.189144194 0.07184299 0.187418802 -0.065339143 0.007629049 - actual$covM1$Item7[3, ] -0.097336770 0.071842961 0.09207350 0.080183884 -0.012665935 -0.015228159 + expected$covM1$Item7[3, ] -0.097336804 0.071842985 0.09207352 0.080183911 -0.012665940 -0.015228159 - actual$covM1$Item7[4, ] -0.174640218 0.187418784 0.08018388 0.208602311 -0.057307786 0.004419499 + expected$covM1$Item7[4, ] -0.174640246 0.187418802 0.08018391 0.208602329 -0.057307786 0.004419496 - actual$covM1$Item7[5, ] 0.009870484 -0.065339142 -0.01266594 -0.057307786 0.028346361 -0.007015564 + expected$covM1$Item7[5, ] 0.009870488 -0.065339143 -0.01266594 -0.057307786 0.028346360 -0.007015564 - actual$covM1$Item7[6, ] 0.013157214 0.007629050 -0.01522816 0.004419499 -0.007015564 0.006370655 + expected$covM1$Item7[6, ] 0.013157219 0.007629049 -0.01522816 0.004419496 -0.007015564 0.006370655 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item8[1, ] 0.136218502 -0.001235056 -0.053713687 -0.017824012 -0.0171252722 0.0074586510 + expected$covM1$Item8[1, ] 0.136218579 -0.001234256 -0.053715336 -0.017823007 -0.0171254796 0.0074588406 - actual$covM1$Item8[2, ] -0.001235056 0.194949253 -0.011393608 0.058562531 -0.0377349679 -0.0153597743 + expected$covM1$Item8[2, ] -0.001234256 0.194949926 -0.011393077 0.058559705 -0.0377344472 -0.0153598188 - actual$covM1$Item8[3, ] -0.053713687 -0.011393608 0.099108526 -0.003505491 0.0128447510 -0.0216943247 + expected$covM1$Item8[3, ] -0.053715336 -0.011393077 0.099110747 -0.003505091 0.0128447970 -0.0216946942 - actual$covM1$Item8[4, ] -0.017824012 0.058562531 -0.003505491 0.021305241 -0.0099115667 -0.0039098979 + expected$covM1$Item8[4, ] -0.017823007 0.058559705 -0.003505091 0.021303220 -0.0099108880 -0.0039097113 - actual$covM1$Item8[5, ] -0.017125272 -0.037734968 0.012844751 -0.009911567 0.0105253874 0.0005679264 + expected$covM1$Item8[5, ] -0.017125480 -0.037734447 0.012844797 -0.009910888 0.0105251721 0.0005678539 - actual$covM1$Item8[6, ] 0.007458651 -0.015359774 -0.021694325 -0.003909898 0.0005679264 0.0079417898 + expected$covM1$Item8[6, ] 0.007458841 -0.015359819 -0.021694694 -0.003909711 0.0005678539 0.0079418455 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item9[1, ] 0.239123371 -0.06928616 -0.056225599 -0.101162393 -0.009468276 0.017689588 + expected$covM1$Item9[1, ] 0.239120856 -0.06928255 -0.056224979 -0.101157900 -0.009470020 0.017689780 - actual$covM1$Item9[2, ] -0.069286157 0.27332021 0.017580346 0.201195253 -0.133705162 0.010979430 + expected$covM1$Item9[2, ] -0.069282553 0.27332038 0.017578806 0.201191918 -0.133705653 0.010978220 - actual$covM1$Item9[3, ] -0.056225599 0.01758035 0.092971095 0.014796410 0.008415156 -0.030345344 + expected$covM1$Item9[3, ] -0.056224979 0.01757881 0.092971856 0.014794857 0.008415998 -0.030345936 - actual$covM1$Item9[4, ] -0.101162393 0.20119525 0.014796410 0.162373154 -0.090638965 0.006810577 + expected$covM1$Item9[4, ] -0.101157900 0.20119192 0.014794857 0.162367712 -0.090637763 0.006809695 - actual$covM1$Item9[5, ] -0.009468276 -0.13370516 0.008415156 -0.090638965 0.076010233 -0.012422354 + expected$covM1$Item9[5, ] -0.009470020 -0.13370565 0.008415998 -0.090637763 0.076010742 -0.012421782 - actual$covM1$Item9[6, ] 0.017689588 0.01097943 -0.030345344 0.006810577 -0.012422354 0.012329332 + expected$covM1$Item9[6, ] 0.017689780 0.01097822 -0.030345936 0.006809695 -0.012421782 0.012329435 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item10[1, ] 0.24556966 -0.070617706 -0.0687493008 -0.101110195 -0.0104017018 0.020551716 + expected$covM1$Item10[1, ] 0.24556733 -0.070614574 -0.0687484772 -0.101106299 -0.0104032534 0.020551878 - actual$covM1$Item10[2, ] -0.07061771 0.268321545 0.0369686850 0.195281001 -0.1361829050 0.007363948 + expected$covM1$Item10[2, ] -0.07061457 0.268322110 0.0369672665 0.195278557 -0.1361836657 0.007362498 - actual$covM1$Item10[3, ] -0.06874930 0.036968685 0.0983492569 0.030270001 0.0002279937 -0.031560778 + expected$covM1$Item10[3, ] -0.06874848 0.036967266 0.0983497281 0.030268369 0.0002287695 -0.031561471 - actual$covM1$Item10[4, ] -0.10111019 0.195281001 0.0302700006 0.155842338 -0.0910459674 0.003847953 + expected$covM1$Item10[4, ] -0.10110630 0.195278557 0.0302683687 0.155838100 -0.0910451913 0.003846980 - actual$covM1$Item10[5, ] -0.01040170 -0.136182905 0.0002279937 -0.091045967 0.0807665433 -0.011532399 + expected$covM1$Item10[5, ] -0.01040325 -0.136183666 0.0002287695 -0.091045191 0.0807672412 -0.011531673 - actual$covM1$Item10[6, ] 0.02055172 0.007363948 -0.0315607775 0.003847953 -0.0115323991 0.012988804 + expected$covM1$Item10[6, ] 0.02055188 0.007362498 -0.0315614708 0.003846980 -0.0115316734 0.012988940 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item11[1, ] 0.103191951 -0.0285861172 -0.019795806 -0.0495201257 -0.005388210 0.0052467928 + expected$covM1$Item11[1, ] 0.103187328 -0.0285812587 -0.019794464 -0.0495142615 -0.005389079 0.0052465622 - actual$covM1$Item11[2, ] -0.028586117 0.1344582758 -0.006160079 0.0971658982 -0.031411360 0.0007178486 + expected$covM1$Item11[2, ] -0.028581259 0.1344572434 -0.006164344 0.0971612630 -0.031410646 0.0007173332 - actual$covM1$Item11[3, ] -0.019795806 -0.0061600790 0.046680786 -0.0051186763 0.006833253 -0.0112627485 + expected$covM1$Item11[3, ] -0.019794464 -0.0061643439 0.046681573 -0.0051219438 0.006834130 -0.0112628070 - actual$covM1$Item11[4, ] -0.049520126 0.0971658982 -0.005118676 0.0814297436 -0.020165751 0.0005752760 + expected$covM1$Item11[4, ] -0.049514262 0.0971612630 -0.005121944 0.0814228427 -0.020164500 0.0005750174 - actual$covM1$Item11[5, ] -0.005388210 -0.0314113596 0.006833253 -0.0201657509 0.009658773 -0.0019031035 + expected$covM1$Item11[5, ] -0.005389079 -0.0314106460 0.006834130 -0.0201644997 0.009658431 -0.0019029235 - actual$covM1$Item11[6, ] 0.005246793 0.0007178486 -0.011262748 0.0005752760 -0.001903103 0.0035283359 + expected$covM1$Item11[6, ] 0.005246562 0.0007173332 -0.011262807 0.0005750174 -0.001902924 0.0035283427 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item12[1, ] 0.1469600563 -0.0001282161 -0.067629904 -0.0140345100 -0.035555796 0.0228327071 + expected$covM1$Item12[1, ] 0.1469601590 -0.0001281867 -0.067629868 -0.0140345386 -0.035555832 0.0228327060 - actual$covM1$Item12[2, ] -0.0001282161 0.1897988276 0.014971604 0.0470148351 -0.077308590 0.0019513743 + expected$covM1$Item12[2, ] -0.0001281867 0.1897989048 0.014971637 0.0470149696 -0.077308699 0.0019513695 - actual$covM1$Item12[3, ] -0.0676299043 0.0149716041 0.122773140 0.0045063732 0.015944190 -0.0401982521 + expected$covM1$Item12[3, ] -0.0676298679 0.0149716369 0.122773089 0.0045063904 0.015944168 -0.0401982522 - actual$covM1$Item12[4, ] -0.0140345100 0.0470148351 0.004506373 0.0139765333 -0.016755820 0.0002152145 + expected$covM1$Item12[4, ] -0.0140345386 0.0470149696 0.004506390 0.0139766034 -0.016755887 0.0002152144 - actual$covM1$Item12[5, ] -0.0355557964 -0.0773085900 0.015944190 -0.0167558198 0.042218962 -0.0093404634 + expected$covM1$Item12[5, ] -0.0355558322 -0.0773086986 0.015944168 -0.0167558871 0.042219043 -0.0093404639 - actual$covM1$Item12[6, ] 0.0228327071 0.0019513743 -0.040198252 0.0002152145 -0.009340463 0.0155286980 + expected$covM1$Item12[6, ] 0.0228327060 0.0019513695 -0.040198252 0.0002152144 -0.009340464 0.0155287024 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item13[1, ] 0.165391682 -2.042327e-02 -0.070782548 -0.0243164572 -0.011951221 9.286960e-03 + expected$covM1$Item13[1, ] 0.165391284 -2.042257e-02 -0.070782578 -0.0243160487 -0.011951256 9.286934e-03 - actual$covM1$Item13[2, ] -0.020423270 2.441868e-01 0.041073274 0.0576426651 -0.027996281 2.518582e-05 + expected$covM1$Item13[2, ] -0.020422568 2.441871e-01 0.041072938 0.0576420715 -0.027996099 2.513946e-05 - actual$covM1$Item13[3, ] -0.070782548 4.107327e-02 0.118740091 0.0114982159 0.004067094 -1.552203e-02 + expected$covM1$Item13[3, ] -0.070782578 4.107294e-02 0.118740367 0.0114980017 0.004067157 -1.552203e-02 - actual$covM1$Item13[4, ] -0.024316457 5.764267e-02 0.011498216 0.0171875797 -0.005492417 -1.914646e-04 + expected$covM1$Item13[4, ] -0.024316049 5.764207e-02 0.011498002 0.0171872316 -0.005492314 -1.914701e-04 - actual$covM1$Item13[5, ] -0.011951221 -2.799628e-02 0.004067094 -0.0054924174 0.005163839 -1.670390e-03 + expected$covM1$Item13[5, ] -0.011951256 -2.799610e-02 0.004067157 -0.0054923137 0.005163781 -1.670377e-03 - actual$covM1$Item13[6, ] 0.009286960 2.518582e-05 -0.015522033 -0.0001914646 -0.001670390 2.985397e-03 + expected$covM1$Item13[6, ] 0.009286934 2.513946e-05 -0.015522032 -0.0001914701 -0.001670377 2.985387e-03 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item15[1, ] 0.26895670 -0.060229838 -0.072078189 -0.103943088 -0.021657707 0.026139369 + expected$covM1$Item15[1, ] 0.26895583 -0.060228689 -0.072077245 -0.103942110 -0.021658259 0.026139184 - actual$covM1$Item15[2, ] -0.06022984 0.297969159 0.038728305 0.236168896 -0.195596883 0.008823899 + expected$covM1$Item15[2, ] -0.06022869 0.297969810 0.038727535 0.236169562 -0.195598024 0.008822249 - actual$covM1$Item15[3, ] -0.07207819 0.038728305 0.105481226 0.034376231 -0.001640420 -0.039372357 + expected$covM1$Item15[3, ] -0.07207725 0.038727535 0.105480979 0.034375452 -0.001640105 -0.039372748 - actual$covM1$Item15[4, ] -0.10394309 0.236168896 0.034376231 0.202519686 -0.144107458 0.005148950 + expected$covM1$Item15[4, ] -0.10394211 0.236169562 0.034375452 0.202520313 -0.144108484 0.005147809 - actual$covM1$Item15[5, ] -0.02165771 -0.195596883 -0.001640420 -0.144107458 0.145811887 -0.016742616 + expected$covM1$Item15[5, ] -0.02165826 -0.195598024 -0.001640105 -0.144108484 0.145813104 -0.016741458 - actual$covM1$Item15[6, ] 0.02613937 0.008823899 -0.039372357 0.005148950 -0.016742616 0.018189725 + expected$covM1$Item15[6, ] 0.02613918 0.008822249 -0.039372748 0.005147809 -0.016741458 0.018189751 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item16[1, ] 0.069536923 -0.0024263118 -0.0355826847 -7.366832e-03 -0.018663077 1.334983e-02 + expected$covM1$Item16[1, ] 0.069536906 -0.0024262422 -0.0355826899 -7.366816e-03 -0.018663099 1.334982e-02 - actual$covM1$Item16[2, ] -0.002426312 0.1009296722 0.0010290874 2.228865e-02 -0.039825966 1.697402e-04 + expected$covM1$Item16[2, ] -0.002426242 0.1009296716 0.0010289591 2.228865e-02 -0.039825988 1.697760e-04 - actual$covM1$Item16[3, ] -0.035582685 0.0010290874 0.0702254957 2.817264e-04 0.012895128 -2.629493e-02 + expected$covM1$Item16[3, ] -0.035582690 0.0010289591 0.0702255872 2.816958e-04 0.012895183 -2.629495e-02 - actual$covM1$Item16[4, ] -0.007366832 0.0222886455 0.0002817264 6.286756e-03 -0.007522313 1.680545e-05 + expected$covM1$Item16[4, ] -0.007366816 0.0222886478 0.0002816958 6.286757e-03 -0.007522319 1.681412e-05 - actual$covM1$Item16[5, ] -0.018663077 -0.0398259662 0.0128951283 -7.522313e-03 0.022889367 -6.073929e-03 + expected$covM1$Item16[5, ] -0.018663099 -0.0398259876 0.0128951835 -7.522319e-03 0.022889382 -6.073941e-03 - actual$covM1$Item16[6, ] 0.013349826 0.0001697402 -0.0262949296 1.680545e-05 -0.006073929 1.185987e-02 + expected$covM1$Item16[6, ] 0.013349819 0.0001697760 -0.0262949466 1.681412e-05 -0.006073941 1.185987e-02 actual$covM1$Item17 vs expected$covM1$Item17 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item17[1, ] 0.29779538 0.05187722 -0.107225170 -0.010408881 -0.138288941 0.057442395 + expected$covM1$Item17[1, ] 0.29779539 0.05187723 -0.107225182 -0.010408878 -0.138288955 0.057442390 - actual$covM1$Item17[2, ] 0.05187722 0.28258264 0.058354366 0.111995666 -0.234563110 0.010232005 + expected$covM1$Item17[2, ] 0.05187723 0.28258258 0.058354355 0.111995650 -0.234563084 0.010231970 - actual$covM1$Item17[3, ] -0.10722517 0.05835437 0.181624129 0.027369576 0.001699504 -0.075508531 + expected$covM1$Item17[3, ] -0.10722518 0.05835435 0.181624140 0.027369576 0.001699512 -0.075508551 - actual$covM1$Item17[4, ] -0.01040888 0.11199567 0.027369576 0.049246556 -0.084766142 0.002080860 + expected$covM1$Item17[4, ] -0.01040888 0.11199565 0.027369576 0.049246552 -0.084766137 0.002080846 - actual$covM1$Item17[5, ] -0.13828894 -0.23456311 0.001699504 -0.084766142 0.230285258 -0.033575540 + expected$covM1$Item17[5, ] -0.13828895 -0.23456308 0.001699512 -0.084766137 0.230285257 -0.033575512 - actual$covM1$Item17[6, ] 0.05744239 0.01023201 -0.075508531 0.002080860 -0.033575540 0.038559181 + expected$covM1$Item17[6, ] 0.05744239 0.01023197 -0.075508551 0.002080846 -0.033575512 0.038559188 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item19[1, ] 0.08600475 -0.01146327 -0.041554943 -0.014395520 -0.017346107 0.015376747 + expected$covM1$Item19[1, ] 0.08600476 -0.01146328 -0.041554942 -0.014395521 -0.017346103 0.015376744 - actual$covM1$Item19[2, ] -0.01146327 0.11937672 0.025664932 0.034086337 -0.045215648 0.015560388 + expected$covM1$Item19[2, ] -0.01146328 0.11937670 0.025664916 0.034086320 -0.045215632 0.015560386 - actual$covM1$Item19[3, ] -0.04155494 0.02566493 0.076845737 0.008457500 0.003751187 -0.018726966 + expected$covM1$Item19[3, ] -0.04155494 0.02566492 0.076845735 0.008457492 0.003751194 -0.018726967 - actual$covM1$Item19[4, ] -0.01439552 0.03408634 0.008457500 0.012158940 -0.010916097 0.003499175 + expected$covM1$Item19[4, ] -0.01439552 0.03408632 0.008457492 0.012158931 -0.010916088 0.003499173 - actual$covM1$Item19[5, ] -0.01734611 -0.04521565 0.003751187 -0.010916097 0.024341224 -0.012245019 + expected$covM1$Item19[5, ] -0.01734610 -0.04521563 0.003751194 -0.010916088 0.024341214 -0.012245016 - actual$covM1$Item19[6, ] 0.01537675 0.01556039 -0.018726966 0.003499175 -0.012245019 0.010829280 + expected$covM1$Item19[6, ] 0.01537674 0.01556039 -0.018726967 0.003499173 -0.012245016 0.010829279 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item20[1, ] 0.107586174 -0.005732184 -0.063948312 -0.005578328 -0.030986949 0.024126107 + expected$covM1$Item20[1, ] 0.107586034 -0.005731479 -0.063948041 -0.005578295 -0.030987227 0.024126006 - actual$covM1$Item20[2, ] -0.005732184 0.156677033 -0.014016286 0.016089362 -0.065311518 -0.004387159 + expected$covM1$Item20[2, ] -0.005731479 0.156676760 -0.014016535 0.016089490 -0.065311711 -0.004387221 - actual$covM1$Item20[3, ] -0.063948312 -0.014016286 0.153541557 -0.002022993 0.030595899 -0.057951958 + expected$covM1$Item20[3, ] -0.063948041 -0.014016535 0.153541347 -0.002023046 0.030595966 -0.057951967 - actual$covM1$Item20[4, ] -0.005578328 0.016089362 -0.002022993 0.002300237 -0.005704309 -0.000230970 + expected$covM1$Item20[4, ] -0.005578295 0.016089490 -0.002023046 0.002300272 -0.005704386 -0.000230975 - actual$covM1$Item20[5, ] -0.030986949 -0.065311518 0.030595899 -0.005704309 0.040089457 -0.009144267 + expected$covM1$Item20[5, ] -0.030987227 -0.065311711 0.030595966 -0.005704386 0.040089666 -0.009144215 - actual$covM1$Item20[6, ] 0.024126107 -0.004387159 -0.057951958 -0.000230970 -0.009144267 0.026382253 + expected$covM1$Item20[6, ] 0.024126006 -0.004387221 -0.057951967 -0.000230975 -0.009144215 0.026382300 actual$pval | expected$pval [1] 0.000030907 | 0.000030907 [1] [2] 0.000028271 | 0.000028271 [2] [3] 0.854313404 | 0.854313404 [3] [4] 0.877056801 - 0.877056800 [4] [5] 0.979307639 | 0.979307639 [5] [6] 0.821846545 | 0.821846545 [6] [7] 0.068882259 | 0.068882259 [7] [8] 0.244295030 | 0.244295030 [8] [9] 0.659942901 - 0.659942898 [9] [10] 0.490233952 - 0.490233951 [10] ... ... ... and 10 more ... actual$adj.pval | expected$adj.pval [1] 0.000030907 | 0.000030907 [1] [2] 0.000028271 | 0.000028271 [2] [3] 0.854313404 | 0.854313404 [3] [4] 0.877056801 - 0.877056800 [4] [5] 0.979307639 | 0.979307639 [5] [6] 0.821846545 | 0.821846545 [6] [7] 0.068882259 | 0.068882259 [7] [8] 0.244295030 | 0.244295030 [8] [9] 0.659942901 - 0.659942898 [9] [10] 0.490233952 - 0.490233951 [10] ... ... ... and 10 more ... ── Failure ('test-difNLR.R:134:3'): difNLR - examples at help page ───────────── Expected `fit11` to equal `fit11_expected`. Differences: actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.17133328 -0.06779894 -0.05066771 + expected$covM0$Item17[1, ] 0.17133329 -0.06779894 -0.05066771 actual$covM0$Item17[2, ] -0.06779894 0.03048674 0.02018952 actual$covM0$Item17[3, ] -0.05066771 0.02018952 0.01527094 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.25126912 -0.089346410 -0.0221235270 0.0232188363 -0.105533787 + expected$covM1$Item13[1, ] 0.25126913 -0.089346412 -0.0221235275 0.0232188371 -0.105533790 - actual$covM1$Item13[2, ] -0.08934641 0.043589127 0.0046938528 -0.0191598192 0.038987025 + expected$covM1$Item13[2, ] -0.08934641 0.043589128 0.0046938531 -0.0191598194 0.038987026 - actual$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188728 + expected$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188729 actual$covM1$Item13[4, ] 0.02321884 -0.019159819 0.0007736615 0.0235615332 -0.010317708 - actual$covM1$Item13[5, ] -0.10553379 0.038987025 0.0061887284 -0.0103177077 0.045753707 + expected$covM1$Item13[5, ] -0.10553379 0.038987026 0.0061887286 -0.0103177080 0.045753708 ── Failure ('test-difNLR.R:142:3'): difNLR - examples at help page ───────────── Expected `fit13` to equal `fit13_expected`. Differences: actual$seM1$Item8 | expected$seM1$Item8 [1] 0.730251348 - 0.730251282 [1] [2] 0.206478511 - 0.206478465 [2] [3] 0.098993891 - 0.098993872 [3] [4] 0.148676710 - 0.148676713 [4] [5] 0.424514653 - 0.424514567 [5] `actual$seM1$Item11`: 0.32501675 0.14346310 0.10645695 0.11641692 0.20355305 `expected$seM1$Item11`: 0.32559899 0.14364250 0.10645744 0.11641834 0.20393903 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item8[1, ] 0.533267032 -0.140070238 0.0032524017 -0.0759137666 -0.308653218 + expected$covM1$Item8[1, ] 0.533266935 -0.140070190 0.0032522779 -0.0759137634 -0.308653128 - actual$covM1$Item8[2, ] -0.140070238 0.042633375 -0.0026951353 0.0148389829 0.082131213 + expected$covM1$Item8[2, ] -0.140070190 0.042633357 -0.0026951021 0.0148389789 0.082131176 - actual$covM1$Item8[3, ] 0.003252402 -0.002695135 0.0097997904 0.0004640690 -0.004603230 + expected$covM1$Item8[3, ] 0.003252278 -0.002695102 0.0097997867 0.0004640864 -0.004603157 - actual$covM1$Item8[4, ] -0.075913767 0.014838983 0.0004640690 0.0221047640 0.043974903 + expected$covM1$Item8[4, ] -0.075913763 0.014838979 0.0004640864 0.0221047650 0.043974896 - actual$covM1$Item8[5, ] -0.308653218 0.082131213 -0.0046032297 0.0439749031 0.180212690 + expected$covM1$Item8[5, ] -0.308653128 0.082131176 -0.0046031569 0.0439748964 0.180212618 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item11[1, ] 0.105635891 -0.034959558 -0.004182288 -0.004802015 -0.064304243 + expected$covM1$Item11[1, ] 0.106014700 -0.035099239 -0.004175992 -0.004813214 -0.064548332 - actual$covM1$Item11[2, ] -0.034959558 0.020581662 -0.002434558 -0.005926206 0.023701478 + expected$covM1$Item11[2, ] -0.035099239 0.020633168 -0.002436879 -0.005922076 0.023791483 - actual$covM1$Item11[3, ] -0.004182288 -0.002434558 0.011333082 0.003230946 -0.001066448 + expected$covM1$Item11[3, ] -0.004175992 -0.002436879 0.011333186 0.003230759 -0.001070505 - actual$covM1$Item11[4, ] -0.004802015 -0.005926206 0.003230946 0.013552898 0.001918524 + expected$covM1$Item11[4, ] -0.004813214 -0.005922076 0.003230759 0.013553229 0.001925740 - actual$covM1$Item11[5, ] -0.064304243 0.023701478 -0.001066448 0.001918524 0.041433845 + expected$covM1$Item11[5, ] -0.064548332 0.023791483 -0.001070505 0.001925740 0.041591126 ── Failure ('test-difNLR.R:377:3'): testing paper code - R Journal 2020 - generated data ── Expected `fit1` to equal `fit1_expected`. Differences: actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] -1.919268852 - -1.919268809 [1] [2] 1.483505553 - 1.483505528 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.048786387 - 0.048786382 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[5]] | expected$nlrPAR[[5]] [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] -0.0055204 - -0.0055251 [8] actual$nlrPAR[[6]] | expected$nlrPAR[[6]] [1] 0.767939349 - 0.767939292 [1] [2] 1.457691842 - 1.457691801 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.953766881 - 0.953766893 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[7]] | expected$nlrPAR[[7]] [1] -1.23626545 - -1.23626580 [1] [2] 0.88804637 - 0.88804690 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.63552983 - -1.63554150 [1] [2] 1.16247957 - 1.16247138 [2] [3] -0.85442799 - -0.85441048 [3] [4] -0.11668131 - -0.11667586 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00676848 - 0.00676812 [6] [7] 0.86559097 - 0.86560000 [7] [8] 0.13440903 - 0.13440000 [8] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 1.9819501 - 1.9819175 [1] [2] 1.4818425 - 1.4818210 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0000000 | 0.0000000 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9277421 - 0.9277447 [7] [8] 0.0000000 | 0.0000000 [8] actual$nlrPAR[[11]] | expected$nlrPAR[[11]] [1] 1.100010144 - 1.100010487 [1] [2] 1.071118317 - 1.071118399 [2] [3] 2.324115082 - 2.324099309 [3] [4] 1.172861810 - 1.172854836 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.969003950 - 0.969003883 [7] [8] 0.010566232 - 0.010566922 [8] actual$nlrPAR[[12]] | expected$nlrPAR[[12]] [1] -1.63955438 - -1.63955296 [1] [2] 1.05071702 - 1.05071630 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.07960367 - 0.07960350 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] -1.359766982 - -1.359767080 [1] [2] 1.008622179 - 1.008622224 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.084488301 - 0.084488316 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -1.81408679 - -1.81408981 [1] [2] 1.09344011 - 1.09344166 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.14095464 - 0.14095493 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.4947744 - 0.4947587 [1] [2] 0.8750659 - 0.8750560 [2] [3] -0.2604767 - -0.2604823 [3] [4] 0.2049815 - 0.2049770 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9448528 - 0.9448575 [7] [8] -0.1424618 - -0.1424607 [8] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.306678421 - 0.306678419 [1] [2] 0.384450287 - 0.384450339 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.036074442 - 0.036074445 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.187373486 - 0.187373509 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 0.54915540 - 0.54916309 [1] [2] 0.84406770 - 0.84407406 [2] [3] 0.65457360 - 0.65457970 [3] [4] 1.04476946 - 1.04477916 [4] [5] 0.30726339 - 0.30725777 [5] [6] 0.34492171 - 0.34491364 [6] [7] 0.04447330 - 0.04447248 [7] [8] 0.09301584 - 0.09301238 [8] actual$nlrSE[[6]] | expected$nlrSE[[6]] [1] 0.244309189 - 0.244309199 [1] [2] 0.402094872 - 0.402094890 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.146861977 - 0.146861982 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.059566415 - 0.059566424 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.42785780 - 0.42785740 [1] [2] 0.49197774 - 0.49197745 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.10650364 - 0.10650350 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.48019617 - 0.48019549 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.46605987 - 0.46606108 [1] [2] 0.59512318 - 0.59512240 [2] [3] 0.96379670 - 0.96379959 [3] [4] 0.94805984 - 0.94805937 [4] [5] 0.07087731 - 0.07087774 [5] [6] 0.09147737 - 0.09147791 [6] [7] 0.38583672 - 0.38584847 [7] [8] 1.22691979 - 1.22692695 [8] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.36596727 - 0.36596807 [1] [2] 0.53880414 - 0.53880148 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.35994964 - 0.35995458 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.03944259 - 0.03944350 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrSE[[11]] | expected$nlrSE[[11]] [1] 0.534150761 - 0.534150791 [1] [2] 0.648113915 - 0.648113962 [2] [3] 0.867075677 - 0.867071913 [3] [4] 1.082312041 - 1.082308858 [4] [5] 0.521548300 - 0.521548354 [5] [6] 0.659580832 - 0.659580446 [6] [7] 0.105250889 - 0.105250858 [7] [8] 0.109353679 - 0.109353674 [8] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.437683871 - 0.437683975 [1] [2] 0.518101638 - 0.518101581 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.069033171 - 0.069033277 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.438139683 - 0.438139948 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.426919525 - 0.426919518 [1] [2] 0.521107931 - 0.521107889 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.085772962 - 0.085772946 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.399392015 - 0.399391982 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.503724206 - 0.503724008 [1] [2] 0.591103588 - 0.591103524 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.063854830 - 0.063854624 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.477404262 - 0.477403468 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.7281699 - 0.7281753 [1] [2] 0.8488077 - 0.8488101 [2] [3] 0.9085928 - 0.9085989 [3] [4] 1.1464332 - 1.1464343 [4] [5] 0.6082345 - 0.6082423 [5] [6] 0.6693448 - 0.6693534 [6] [7] 0.2471840 - 0.2471916 [7] [8] 0.3043555 - 0.3043653 [8] `actual$parM0$Item1`: -1.919268852 1.483505553 0.048786387 1.000000000 `expected$parM0$Item1`: -1.919268809 1.483505528 0.048786382 1.000000000 `actual$parM0$Item5`: 1.232878141 1.514612611 0.000000000 0.871219470 `expected$parM0$Item5`: 1.232877680 1.514612442 0.000000000 0.871219535 `actual$parM0$Item6`: 0.767939349 1.457691842 0.000000000 0.953766881 `expected$parM0$Item6`: 0.767939292 1.457691801 0.000000000 0.953766893 `actual$parM0$Item7`: -1.23626545 0.88804637 0.00000000 1.00000000 `expected$parM0$Item7`: -1.23626580 0.88804690 0.00000000 1.00000000 `actual$parM0$Item8`: -2.04224668 1.00313832 0.00000000 1.00000000 `expected$parM0$Item8`: -2.04224686 1.00313853 0.00000000 1.00000000 `actual$parM0$Item9`: 1.9819501 1.4818425 0.0000000 0.9277421 `expected$parM0$Item9`: 1.9819175 1.4818210 0.0000000 0.9277447 `actual$parM0$Item11`: 2.071246156 1.476717870 0.000000000 0.947760051 `expected$parM0$Item11`: 2.071244548 1.476716024 0.000000000 0.947760133 `actual$parM0$Item12`: -1.63955438 1.05071702 0.07960367 1.00000000 `expected$parM0$Item12`: -1.63955296 1.05071630 0.07960350 1.00000000 `actual$parM0$Item13`: -1.359766982 1.008622179 0.084488301 1.000000000 `expected$parM0$Item13`: -1.359767080 1.008622224 0.084488316 1.000000000 `actual$parM0$Item14`: -1.81408679 1.09344011 0.14095464 1.00000000 `expected$parM0$Item14`: -1.81408981 1.09344166 0.14095493 1.00000000 `actual$parM0$Item15`: 0.409635301 0.994839602 0.000000000 0.865280941 `expected$parM0$Item15`: 0.409634989 0.994839800 0.000000000 0.865281015 `actual$seM0$Item1`: 0.306678421 0.384450287 0.036074442 0.187373486 `expected$seM0$Item1`: 0.306678419 0.384450339 0.036074445 0.187373509 `actual$seM0$Item5`: 0.304514975 0.493226339 0.194402286 0.051007357 `expected$seM0$Item5`: 0.304514933 0.493226262 0.194402274 0.051007369 `actual$seM0$Item6`: 0.244309189 0.402094872 0.146861977 0.059566415 `expected$seM0$Item6`: 0.244309199 0.402094890 0.146861982 0.059566424 `actual$seM0$Item7`: 0.42785780 0.49197774 0.10650364 0.48019617 `expected$seM0$Item7`: 0.42785740 0.49197745 0.10650350 0.48019549 `actual$seM0$Item8`: 0.467445670 0.465413142 0.052095431 0.612798580 `expected$seM0$Item8`: 0.467445473 0.465413059 0.052095410 0.612798273 `actual$seM0$Item9`: 0.36596727 0.53880414 0.35994964 0.03944259 `expected$seM0$Item9`: 0.36596807 0.53880148 0.35995458 0.03944350 `actual$seM0$Item11`: 0.363926478 0.526273514 0.382432069 0.037293680 `expected$seM0$Item11`: 0.363926904 0.526273633 0.382433014 0.037293744 `actual$seM0$Item12`: 0.437683871 0.518101638 0.069033171 0.438139683 `expected$seM0$Item12`: 0.437683975 0.518101581 0.069033277 0.438139948 `actual$seM0$Item13`: 0.426919525 0.521107931 0.085772962 0.399392015 `expected$seM0$Item13`: 0.426919518 0.521107889 0.085772946 0.399391982 `actual$seM0$Item14`: 0.503724206 0.591103588 0.063854830 0.477404262 `expected$seM0$Item14`: 0.503724008 0.591103524 0.063854624 0.477403468 `actual$seM0$Item15`: 0.429218673 0.565195422 0.284899677 0.138812073 `expected$seM0$Item15`: 0.429218501 0.565195232 0.284899461 0.138812042 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] [,4] - actual$covM0$Item1[1, ] 0.0940516536 -0.06062457 -0.008213435 0.0005695570 + expected$covM0$Item1[1, ] 0.0940516524 -0.06062458 -0.008213436 0.0005695592 - actual$covM0$Item1[2, ] -0.0606245691 0.14780202 0.011029920 -0.0600486747 + expected$covM0$Item1[2, ] -0.0606245756 0.14780206 0.011029924 -0.0600486926 - actual$covM0$Item1[3, ] -0.0082134354 0.01102992 0.001301365 -0.0036034232 + expected$covM0$Item1[3, ] -0.0082134359 0.01102992 0.001301366 -0.0036034245 - actual$covM0$Item1[4, ] 0.0005695570 -0.06004867 -0.003603423 0.0351088232 + expected$covM0$Item1[4, ] 0.0005695592 -0.06004869 -0.003603425 0.0351088318 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.092729370 0.02218341 -0.018079145 -0.008216770 + expected$covM0$Item5[1, ] 0.092729344 0.02218336 -0.018079156 -0.008216768 - actual$covM0$Item5[2, ] 0.022183413 0.24327222 0.083423481 -0.019990230 + expected$covM0$Item5[2, ] 0.022183362 0.24327215 0.083423465 -0.019990232 - actual$covM0$Item5[3, ] -0.018079145 0.08342348 0.037792249 -0.005582864 + expected$covM0$Item5[3, ] -0.018079156 0.08342347 0.037792244 -0.005582865 - actual$covM0$Item5[4, ] -0.008216770 -0.01999023 -0.005582864 0.002601750 + expected$covM0$Item5[4, ] -0.008216768 -0.01999023 -0.005582865 0.002601752 actual$covM0$Item6 vs expected$covM0$Item6 [,1] [,2] [,3] [,4] - actual$covM0$Item6[1, ] 0.059686980 0.003842519 -0.014247831 -0.006666568 + expected$covM0$Item6[1, ] 0.059686985 0.003842527 -0.014247830 -0.006666570 - actual$covM0$Item6[2, ] 0.003842519 0.161680286 0.051246077 -0.019386338 + expected$covM0$Item6[2, ] 0.003842527 0.161680300 0.051246081 -0.019386343 - actual$covM0$Item6[3, ] -0.014247831 0.051246077 0.021568440 -0.005019625 + expected$covM0$Item6[3, ] -0.014247830 0.051246081 0.021568442 -0.005019627 - actual$covM0$Item6[4, ] -0.006666568 -0.019386338 -0.005019625 0.003548158 + expected$covM0$Item6[4, ] -0.006666570 -0.019386343 -0.005019627 0.003548159 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] [,4] - actual$covM0$Item7[1, ] 0.183062296 0.03715680 -0.006749282 -0.10684805 + expected$covM0$Item7[1, ] 0.183061953 0.03715657 -0.006749311 -0.10684767 - actual$covM0$Item7[2, ] 0.037156804 0.24204210 0.048253133 -0.21805732 + expected$covM0$Item7[2, ] 0.037156566 0.24204181 0.048253035 -0.21805685 - actual$covM0$Item7[3, ] -0.006749282 0.04825313 0.011343025 -0.03869598 + expected$covM0$Item7[3, ] -0.006749311 0.04825303 0.011342995 -0.03869586 - actual$covM0$Item7[4, ] -0.106848045 -0.21805732 -0.038695983 0.23058837 + expected$covM0$Item7[4, ] -0.106847672 -0.21805685 -0.038695864 0.23058771 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] [,4] - actual$covM0$Item8[1, ] 0.218505454 0.06208626 -0.001320037 -0.18111318 + expected$covM0$Item8[1, ] 0.218505270 0.06208614 -0.001320047 -0.18111294 - actual$covM0$Item8[2, ] 0.062086262 0.21660939 0.021651508 -0.26088664 + expected$covM0$Item8[2, ] 0.062086137 0.21660932 0.021651495 -0.26088645 - actual$covM0$Item8[3, ] -0.001320037 0.02165151 0.002713934 -0.02284838 + expected$covM0$Item8[3, ] -0.001320047 0.02165149 0.002713932 -0.02284835 - actual$covM0$Item8[4, ] -0.181113184 -0.26088664 -0.022848376 0.37552210 + expected$covM0$Item8[4, ] -0.181112935 -0.26088645 -0.022848354 0.37552172 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] - actual$covM0$Item9[1, ] 0.133932046 0.009809339 -0.049576389 -0.006149387 + expected$covM0$Item9[1, ] 0.133932631 0.009803413 -0.049580436 -0.006149203 - actual$covM0$Item9[2, ] 0.009809339 0.290309899 0.173148946 -0.016907163 + expected$covM0$Item9[2, ] 0.009803413 0.290307040 0.173150779 -0.016907567 - actual$covM0$Item9[3, ] -0.049576389 0.173148946 0.129563743 -0.008359778 + expected$covM0$Item9[3, ] -0.049580436 0.173150779 0.129567298 -0.008360168 - actual$covM0$Item9[4, ] -0.006149387 -0.016907163 -0.008359778 0.001555718 + expected$covM0$Item9[4, ] -0.006149203 -0.016907567 -0.008360168 0.001555790 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] [,4] - actual$covM0$Item11[1, ] 0.132442481 0.002754336 -0.056383563 -0.005360472 + expected$covM0$Item11[1, ] 0.132442791 0.002753742 -0.056384124 -0.005360453 - actual$covM0$Item11[2, ] 0.002754336 0.276963812 0.180266093 -0.015622068 + expected$covM0$Item11[2, ] 0.002753742 0.276963937 0.180266613 -0.015622106 - actual$covM0$Item11[3, ] -0.056383563 0.180266093 0.146254287 -0.008448745 + expected$covM0$Item11[3, ] -0.056384124 0.180266613 0.146255011 -0.008448788 - actual$covM0$Item11[4, ] -0.005360472 -0.015622068 -0.008448745 0.001390819 + expected$covM0$Item11[4, ] -0.005360453 -0.015622106 -0.008448788 0.001390823 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] - actual$covM0$Item12[1, ] 0.191567171 0.002397711 -0.010013695 -0.07972811 + expected$covM0$Item12[1, ] 0.191567262 0.002397913 -0.010013687 -0.07972831 - actual$covM0$Item12[2, ] 0.002397711 0.268429307 0.031745764 -0.20454872 + expected$covM0$Item12[2, ] 0.002397913 0.268429248 0.031745814 -0.20454884 - actual$covM0$Item12[3, ] -0.010013695 0.031745764 0.004765579 -0.02092361 + expected$covM0$Item12[3, ] -0.010013687 0.031745814 0.004765593 -0.02092366 - actual$covM0$Item12[4, ] -0.079728107 -0.204548723 -0.020923609 0.19196638 + expected$covM0$Item12[4, ] -0.079728306 -0.204548839 -0.020923659 0.19196661 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.182260281 0.001025277 -0.012256093 -0.06825178 + expected$covM0$Item13[1, ] 0.182260274 0.001025282 -0.012256091 -0.06825178 - actual$covM0$Item13[2, ] 0.001025277 0.271553476 0.040175884 -0.18833999 + expected$covM0$Item13[2, ] 0.001025282 0.271553432 0.040175872 -0.18833995 - actual$covM0$Item13[3, ] -0.012256093 0.040175884 0.007357001 -0.02425908 + expected$covM0$Item13[3, ] -0.012256091 0.040175872 0.007356998 -0.02425907 - actual$covM0$Item13[4, ] -0.068251781 -0.188339986 -0.024259077 0.15951398 + expected$covM0$Item13[4, ] -0.068251782 -0.188339952 -0.024259069 0.15951396 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] [,4] - actual$covM0$Item14[1, ] 0.253738076 -0.006413722 -0.011665965 -0.09530079 + expected$covM0$Item14[1, ] 0.253737876 -0.006414399 -0.011665992 -0.09530019 - actual$covM0$Item14[2, ] -0.006413722 0.349403452 0.033102518 -0.25297742 + expected$covM0$Item14[2, ] -0.006414399 0.349403377 0.033102394 -0.25297691 - actual$covM0$Item14[3, ] -0.011665965 0.033102518 0.004077439 -0.02059410 + expected$covM0$Item14[3, ] -0.011665992 0.033102394 0.004077413 -0.02059398 - actual$covM0$Item14[4, ] -0.095300786 -0.252977421 -0.020594102 0.22791483 + expected$covM0$Item14[4, ] -0.095300189 -0.252976908 -0.020593982 0.22791407 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.184228670 -0.07225212 -0.07462452 -0.005053716 + expected$covM0$Item15[1, ] 0.184228521 -0.07225200 -0.07462441 -0.005053736 - actual$covM0$Item15[2, ] -0.072252124 0.31944587 0.14861310 -0.070362019 + expected$covM0$Item15[2, ] -0.072252000 0.31944565 0.14861293 -0.070361976 - actual$covM0$Item15[3, ] -0.074624519 0.14861310 0.08116783 -0.028685416 + expected$covM0$Item15[3, ] -0.074624413 0.14861293 0.08116770 -0.028685383 - actual$covM0$Item15[4, ] -0.005053716 -0.07036202 -0.02868542 0.019268792 + expected$covM0$Item15[4, ] -0.005053736 -0.07036198 -0.02868538 0.019268783 actual$parM1$Item1 | expected$parM1$Item1 [1] -1.90929015 - -1.90928345 [1] [2] 1.64049130 - 1.64048699 [2] [3] -0.20081739 - -0.20083007 [3] [4] 0.40777652 - 0.40778961 [4] [5] 0.05405268 - 0.05405210 [5] [6] 0.02192026 - 0.02192116 [6] [7] 1.00000000 | 1.00000000 [7] [8] -0.25867734 - -0.25867837 [8] actual$parM1$Item5 | expected$parM1$Item5 [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] -0.0055204 - -0.0055251 [8] actual$parM1$Item6 | expected$parM1$Item6 [1] 0.945660582 - 0.945660646 [1] [2] 1.419521001 - 1.419521062 [2] [3] -0.313224103 - -0.313224107 [3] [4] 0.310991986 - 0.310991767 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.058811343 - 0.058811298 [6] [7] 0.880409668 - 0.880409657 [7] [8] 0.119590332 - 0.119590343 [8] actual$parM1$Item7 | expected$parM1$Item7 [1] -1.313996673 - -1.313996743 [1] [2] 0.820933135 - 0.820933253 [2] [3] 0.153415204 - 0.153415264 [3] [4] 0.139597780 - 0.139597674 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.63552983 - -1.63554150 [1] [2] 1.16247957 - 1.16247138 [2] [3] -0.85442799 - -0.85441048 [3] [4] -0.11668131 - -0.11667586 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00676848 - 0.00676812 [6] [7] 0.86559097 - 0.86560000 [7] [8] 0.13440903 - 0.13440000 [8] actual$parM1$Item9 | expected$parM1$Item9 [1] 2.0292178 - 2.0291994 [1] [2] 1.5870281 - 1.5870152 [2] [3] -0.0043324 - -0.0042984 [3] [4] -0.1294808 - -0.1294579 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9081880 - 0.9081894 [7] [8] 0.0330801 - 0.0330775 [8] actual$parM1$Item10 | expected$parM1$Item10 [1] 0.726953237 - 0.726952670 [1] [2] 1.480260172 - 1.480260729 [2] [3] 0.190258291 - 0.190258956 [3] [4] -0.152291973 - -0.152292435 [4] [5] 0.004353361 - 0.004353699 [5] [6] -0.004353361 - -0.004353699 [6] [7] 0.948339321 - 0.948339307 [7] [8] 0.026509399 - 0.026509394 [8] actual$parM1$Item11 | expected$parM1$Item11 [1] 1.100010144 - 1.100010487 [1] [2] 1.071118317 - 1.071118399 [2] [3] 2.324115082 - 2.324099309 [3] [4] 1.172861810 - 1.172854836 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.969003950 - 0.969003883 [7] [8] 0.010566232 - 0.010566922 [8] actual$parM1$Item12 | expected$parM1$Item12 [1] -1.83982259 - -1.83982409 [1] [2] 1.06770284 - 1.06770308 [2] [3] 0.49283543 - 0.49284485 [3] [4] -0.07781130 - -0.07781537 [4] [5] 0.06380438 - 0.06380456 [5] [6] 0.01697194 - 0.01697057 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$parM1$Item13 | expected$parM1$Item13 [1] -1.1061016 - -1.1060757 [1] [2] 0.9611492 - 0.9611378 [2] [3] -0.5411758 - -0.5411974 [3] [4] 0.1163717 - 0.1163820 [4] [5] 0.0597237 - 0.0597188 [5] [6] 0.0444403 - 0.0444447 [6] [7] 1.0000000 | 1.0000000 [7] [8] 0.0000000 | 0.0000000 [8] actual$parM1$Item14 | expected$parM1$Item14 [1] -1.47100850 - -1.47101229 [1] [2] 0.80324979 - 0.80325053 [2] [3] -0.83925484 - -0.83907990 [3] [4] 0.72275150 - 0.72264467 [4] [5] 0.09422996 - 0.09423054 [5] [6] 0.08551748 - 0.08550778 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.4947744 - 0.4947587 [1] [2] 0.8750659 - 0.8750560 [2] [3] -0.2604767 - -0.2604823 [3] [4] 0.2049815 - 0.2049770 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9448528 - 0.9448575 [7] [8] -0.1424618 - -0.1424607 [8] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.424596035 - 0.424595119 [1] [2] 0.548897953 - 0.548897284 [2] [3] 0.723580549 - 0.723581673 [3] [4] 0.934744332 - 0.934746051 [4] [5] 0.048663048 - 0.048663266 [5] [6] 0.060416893 - 0.060416984 [6] [7] 0.213475367 - 0.213475868 [7] [8] 0.254307784 - 0.254307782 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.440195514 - 0.440195511 [1] [2] 0.541812299 - 0.541812298 [2] [3] 0.680132578 - 0.680132551 [3] [4] 0.771896629 - 0.771896611 [4] [5] 0.052217412 | 0.052217412 [5] [6] 0.061351682 | 0.061351682 [6] [7] 0.451801109 - 0.451801105 [7] [8] 0.581465196 - 0.581465199 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 0.54915540 - 0.54916309 [1] [2] 0.84406770 - 0.84407406 [2] [3] 0.65457360 - 0.65457970 [3] [4] 1.04476946 - 1.04477916 [4] [5] 0.30726339 - 0.30725777 [5] [6] 0.34492171 - 0.34491364 [6] [7] 0.04447330 - 0.04447248 [7] [8] 0.09301584 - 0.09301238 [8] actual$seM1$Item6 | expected$seM1$Item6 [1] 0.411903273 | 0.411903273 [1] [2] 0.656807546 - 0.656807484 [2] [3] 0.506972633 - 0.506972678 [3] [4] 0.850207590 - 0.850207391 [4] [5] 0.262132360 - 0.262132335 [5] [6] 0.292580286 - 0.292580260 [6] [7] 0.083673043 - 0.083673032 [7] [8] 0.109324620 - 0.109324606 [8] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.784107084 - 0.784106907 [1] [2] 0.821897288 - 0.821897247 [2] [3] 0.928791769 - 0.928791593 [3] [4] 1.022618129 - 1.022618157 [4] [5] 0.180769488 - 0.180769442 [5] [6] 0.221557689 - 0.221557676 [6] [7] 0.980454441 - 0.980454221 [7] [8] 1.095622142 - 1.095622058 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.46605987 - 0.46606108 [1] [2] 0.59512318 - 0.59512240 [2] [3] 0.96379670 - 0.96379959 [3] [4] 0.94805984 - 0.94805937 [4] [5] 0.07087731 - 0.07087774 [5] [6] 0.09147737 - 0.09147791 [6] [7] 0.38583672 - 0.38584847 [7] [8] 1.22691979 - 1.22692695 [8] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.50473674 - 0.50473638 [1] [2] 0.77535830 - 0.77535595 [2] [3] 0.72965225 - 0.72966167 [3] [4] 1.08404303 - 1.08404336 [4] [5] 0.44917633 - 0.44918001 [5] [6] 0.70279792 - 0.70279951 [6] [7] 0.05187092 - 0.05187156 [7] [8] 0.07621787 - 0.07621774 [8] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.351055135 - 0.351055765 [1] [2] 0.581605244 - 0.581607061 [2] [3] 0.516361432 - 0.516361846 [3] [4] 0.823666328 - 0.823667368 [4] [5] 0.206605749 - 0.206606165 [5] [6] 0.343638899 - 0.343639068 [6] [7] 0.085395181 - 0.085395124 [7] [8] 0.123585019 - 0.123584904 [8] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.534150761 - 0.534150791 [1] [2] 0.648113915 - 0.648113962 [2] [3] 0.867075677 - 0.867071913 [3] [4] 1.082312041 - 1.082308858 [4] [5] 0.521548300 - 0.521548354 [5] [6] 0.659580832 - 0.659580446 [6] [7] 0.105250889 - 0.105250858 [7] [8] 0.109353679 - 0.109353674 [8] actual$seM1$Item12 | expected$seM1$Item12 [1] 0.682150132 - 0.682150557 [1] [2] 0.799717924 - 0.799718399 [2] [3] 0.892106898 - 0.892107588 [3] [4] 1.054422301 - 1.054423464 [4] [5] 0.094446754 - 0.094446680 [5] [6] 0.148434752 - 0.148435651 [6] [7] 0.761115843 - 0.761116495 [7] [8] 0.933508363 - 0.933510418 [8] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.58892458 - 0.58892604 [1] [2] 0.74271982 - 0.74272025 [2] [3] 0.85529308 - 0.85529361 [3] [4] 1.04313279 - 1.04313238 [4] [5] 0.15796018 - 0.15796551 [5] [6] 0.18275228 - 0.18275700 [6] [7] 0.54514222 - 0.54514767 [7] [8] 0.78932452 - 0.78932785 [8] actual$seM1$Item14 | expected$seM1$Item14 [1] 1.13583878 - 1.13584061 [1] [2] 1.06408310 - 1.06408399 [2] [3] 1.31552967 - 1.31551318 [3] [4] 1.30508842 - 1.30507987 [4] [5] 0.19054395 - 0.19054330 [5] [6] 0.19681496 - 0.19681563 [6] [7] 1.34401433 - 1.34401613 [7] [8] 1.38863091 - 1.38863977 [8] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.7281699 - 0.7281753 [1] [2] 0.8488077 - 0.8488101 [2] [3] 0.9085928 - 0.9085989 [3] [4] 1.1464332 - 1.1464343 [4] [5] 0.6082345 - 0.6082423 [5] [6] 0.6693448 - 0.6693534 [6] [7] 0.2471840 - 0.2471916 [7] [8] 0.3043555 - 0.3043653 [8] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item1[1, ] 0.180281793 -0.14220880 -0.180281801 0.14220882 -0.016297838 0.016297839 0.009434399 -0.009434401 + expected$covM1$Item1[1, ] 0.180281015 -0.14220773 -0.180281009 0.14220771 -0.016297862 0.016297862 0.009434185 -0.009434189 - actual$covM1$Item1[2, ] -0.142208800 0.30128896 0.142208816 -0.30128897 0.020886691 -0.020886691 -0.095682925 0.095682923 + expected$covM1$Item1[2, ] -0.142207726 0.30128823 0.142207709 -0.30128820 0.020886785 -0.020886784 -0.095683095 0.095683097 - actual$covM1$Item1[3, ] -0.180281801 0.14220882 0.523568811 -0.46372619 0.016297839 -0.032478909 -0.009434403 0.024788505 + expected$covM1$Item1[3, ] -0.180281009 0.14220771 0.523570437 -0.46372828 0.016297861 -0.032478908 -0.009434179 0.024788422 - actual$covM1$Item1[4, ] 0.142208818 -0.30128897 -0.463726194 0.87374697 -0.020886692 0.039021930 0.095682924 -0.174960492 + expected$covM1$Item1[4, ] 0.142207708 -0.30128820 -0.463728282 0.87375018 -0.020886783 0.039021964 0.095683090 -0.174960398 - actual$covM1$Item1[5, ] -0.016297838 0.02088669 0.016297839 -0.02088669 0.002368092 -0.002368092 -0.005292538 0.005292538 + expected$covM1$Item1[5, ] -0.016297862 0.02088678 0.016297861 -0.02088678 0.002368113 -0.002368113 -0.005292587 0.005292587 - actual$covM1$Item1[6, ] 0.016297839 -0.02088669 -0.032478909 0.03902193 -0.002368092 0.003650201 0.005292538 -0.007160537 + expected$covM1$Item1[6, ] 0.016297862 -0.02088678 -0.032478908 0.03902196 -0.002368113 0.003650212 0.005292586 -0.007160560 - actual$covM1$Item1[7, ] 0.009434399 -0.09568292 -0.009434403 0.09568292 -0.005292538 0.005292538 0.045571732 -0.045571731 + expected$covM1$Item1[7, ] 0.009434185 -0.09568310 -0.009434179 0.09568309 -0.005292587 0.005292586 0.045571946 -0.045571946 - actual$covM1$Item1[8, ] -0.009434401 0.09568292 0.024788505 -0.17496049 0.005292538 -0.007160537 -0.045571731 0.064672449 + expected$covM1$Item1[8, ] -0.009434189 0.09568310 0.024788422 -0.17496040 0.005292587 -0.007160560 -0.045571946 0.064672448 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648306 -0.012481388 0.012481388 -0.04274783 0.04274783 + expected$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648307 -0.012481388 0.012481389 -0.04274783 0.04274783 - actual$covM1$Item3[2, ] -0.05648306 0.29356057 0.05648305 -0.29356058 0.024052293 -0.024052293 -0.21619777 0.21619778 + expected$covM1$Item3[2, ] -0.05648306 0.29356057 0.05648305 -0.29356057 0.024052293 -0.024052293 -0.21619777 0.21619777 - actual$covM1$Item3[3, ] -0.19377209 0.05648305 0.46258032 -0.22687772 0.012481388 -0.024789301 0.04274784 -0.02494489 + expected$covM1$Item3[3, ] -0.19377209 0.05648305 0.46258029 -0.22687769 0.012481387 -0.024789299 0.04274784 -0.02494490 - actual$covM1$Item3[4, ] 0.05648306 -0.29356058 -0.22687772 0.59582441 -0.024052294 0.037360620 0.21619778 -0.38386284 + expected$covM1$Item3[4, ] 0.05648307 -0.29356057 -0.22687769 0.59582438 -0.024052293 0.037360619 0.21619777 -0.38386284 actual$covM1$Item3[5, ] -0.01248139 0.02405229 0.01248139 -0.02405229 0.002726658 -0.002726658 -0.01500150 0.01500150 actual$covM1$Item3[6, ] 0.01248139 -0.02405229 -0.02478930 0.03736062 -0.002726658 0.003764029 0.01500150 -0.02091492 - actual$covM1$Item3[7, ] -0.04274783 -0.21619777 0.04274784 0.21619778 -0.015001498 0.015001498 0.20412424 -0.20412425 + expected$covM1$Item3[7, ] -0.04274783 -0.21619777 0.04274784 0.21619777 -0.015001498 0.015001498 0.20412424 -0.20412424 - actual$covM1$Item3[8, ] 0.04274783 0.21619778 -0.02494489 -0.38386284 0.015001498 -0.020914916 -0.20412425 0.33810177 + expected$covM1$Item3[8, ] 0.04274783 0.21619777 -0.02494490 -0.38386284 0.015001498 -0.020914916 -0.20412424 0.33810178 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 0.30157166 0.26588435 -0.301571646 -0.26588439 0.014151149 -0.014151157 -0.017895029 0.017895029 + expected$covM1$Item5[1, ] 0.30158010 0.26590043 -0.301580090 -0.26590045 0.014154934 -0.014154939 -0.017895100 0.017895099 - actual$covM1$Item5[2, ] 0.26588435 0.71245028 -0.265884325 -0.71245037 0.217326908 -0.217326927 -0.026568290 0.026568289 + expected$covM1$Item5[2, ] 0.26590043 0.71246101 -0.265900397 -0.71246105 0.217323877 -0.217323891 -0.026567789 0.026567786 - actual$covM1$Item5[3, ] -0.30157165 -0.26588432 0.428466601 0.28114910 -0.014151140 -0.006631521 0.017895028 -0.032468198 + expected$covM1$Item5[3, ] -0.30158009 -0.26590040 0.428474586 0.28117118 -0.014154923 -0.006625789 0.017895099 -0.032468278 - actual$covM1$Item5[4, ] -0.26588439 -0.71245037 0.281149104 1.09154322 -0.217326933 0.299753271 0.026568293 -0.066144719 + expected$covM1$Item5[4, ] -0.26590045 -0.71246105 0.281171183 1.09156349 -0.217323888 0.299747189 0.026567790 -0.066142597 - actual$covM1$Item5[5, ] 0.01415115 0.21732691 -0.014151140 -0.21732693 0.094410792 -0.094410797 -0.006384210 0.006384210 + expected$covM1$Item5[5, ] 0.01415493 0.21732388 -0.014154923 -0.21732389 0.094407337 -0.094407341 -0.006383889 0.006383888 - actual$covM1$Item5[6, ] -0.01415116 -0.21732693 -0.006631521 0.29975327 -0.094410797 0.118970984 0.006384211 -0.013318215 + expected$covM1$Item5[6, ] -0.01415494 -0.21732389 -0.006625789 0.29974719 -0.094407341 0.118965422 0.006383889 -0.013317136 - actual$covM1$Item5[7, ] -0.01789503 -0.02656829 0.017895028 0.02656829 -0.006384210 0.006384211 0.001977874 -0.001977874 + expected$covM1$Item5[7, ] -0.01789510 -0.02656779 0.017895099 0.02656779 -0.006383889 0.006383889 0.001977802 -0.001977802 - actual$covM1$Item5[8, ] 0.01789503 0.02656829 -0.032468198 -0.06614472 0.006384210 -0.013318215 -0.001977874 0.008651946 + expected$covM1$Item5[8, ] 0.01789510 0.02656779 -0.032468278 -0.06614260 0.006383888 -0.013317136 -0.001977802 0.008651303 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item6[1, ] 0.169664307 0.002710250 -0.169664299 -0.002710221 -0.04611905 0.04611906 -0.014431574 0.014431572 + expected$covM1$Item6[1, ] 0.169664307 0.002710252 -0.169664314 -0.002710253 -0.04611905 0.04611905 -0.014431574 0.014431574 - actual$covM1$Item6[2, ] 0.002710250 0.431396152 -0.002710279 -0.431396157 0.15015989 -0.15015989 -0.045104904 0.045104908 + expected$covM1$Item6[2, ] 0.002710252 0.431396071 -0.002710244 -0.431396039 0.15015986 -0.15015986 -0.045104892 0.045104892 - actual$covM1$Item6[3, ] -0.169664299 -0.002710279 0.257021251 0.027847992 0.04611904 -0.05811650 0.014431577 -0.026294686 + expected$covM1$Item6[3, ] -0.169664314 -0.002710244 0.257021296 0.027847973 0.04611905 -0.05811652 0.014431573 -0.026294687 - actual$covM1$Item6[4, ] -0.002710221 -0.431396157 0.027847992 0.722852946 -0.15015990 0.20849334 0.045104902 -0.073803760 + expected$covM1$Item6[4, ] -0.002710253 -0.431396039 0.027847973 0.722852608 -0.15015985 0.20849327 0.045104888 -0.073803729 - actual$covM1$Item6[5, ] -0.046119051 0.150159893 0.046119038 -0.150159903 0.06871337 -0.06871338 -0.012909402 0.012909404 + expected$covM1$Item6[5, ] -0.046119048 0.150159861 0.046119053 -0.150159849 0.06871336 -0.06871336 -0.012909398 0.012909397 - actual$covM1$Item6[6, ] 0.046119056 -0.150159891 -0.058116503 0.208493342 -0.06871338 0.08560322 0.012909401 -0.017438282 + expected$covM1$Item6[6, ] 0.046119048 -0.150159858 -0.058116520 0.208493268 -0.06871336 0.08560321 0.012909397 -0.017438274 - actual$covM1$Item6[7, ] -0.014431574 -0.045104904 0.014431577 0.045104902 -0.01290940 0.01290940 0.007001178 -0.007001178 + expected$covM1$Item6[7, ] -0.014431574 -0.045104892 0.014431573 0.045104888 -0.01290940 0.01290940 0.007001176 -0.007001176 - actual$covM1$Item6[8, ] 0.014431572 0.045104908 -0.026294686 -0.073803760 0.01290940 -0.01743828 -0.007001178 0.011951872 + expected$covM1$Item6[8, ] 0.014431574 0.045104892 -0.026294687 -0.073803729 0.01290940 -0.01743827 -0.007001176 0.011951870 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 0.614823920 0.2293664 -0.614823934 -0.2293665 0.008075119 -0.008075134 -0.4970704 0.4970705 + expected$covM1$Item7[1, ] 0.614823642 0.2293663 -0.614823640 -0.2293664 0.008075103 -0.008075122 -0.4970702 0.4970702 - actual$covM1$Item7[2, ] 0.229366386 0.6755152 -0.229366390 -0.6755153 0.138826735 -0.138826751 -0.7547802 0.7547803 + expected$covM1$Item7[2, ] 0.229366283 0.6755151 -0.229366285 -0.6755153 0.138826691 -0.138826726 -0.7547800 0.7547801 - actual$covM1$Item7[3, ] -0.614823934 -0.2293664 0.862654149 0.2374455 -0.008075118 -0.011701528 0.4970704 -0.5971980 + expected$covM1$Item7[3, ] -0.614823640 -0.2293663 0.862653823 0.2374453 -0.008075104 -0.011701541 0.4970702 -0.5971977 - actual$covM1$Item7[4, ] -0.229366515 -0.6755153 0.237445504 1.0457478 -0.138826760 0.209479826 0.7547804 -1.0250927 + expected$covM1$Item7[4, ] -0.229366382 -0.6755153 0.237445339 1.0457479 -0.138826728 0.209479826 0.7547802 -1.0250926 - actual$covM1$Item7[5, ] 0.008075119 0.1388267 -0.008075118 -0.1388268 0.032677608 -0.032677611 -0.1403356 0.1403356 + expected$covM1$Item7[5, ] 0.008075103 0.1388267 -0.008075104 -0.1388267 0.032677591 -0.032677598 -0.1403355 0.1403355 - actual$covM1$Item7[6, ] -0.008075134 -0.1388268 -0.011701528 0.2094798 -0.032677611 0.049087809 0.1403356 -0.1855377 + expected$covM1$Item7[6, ] -0.008075122 -0.1388267 -0.011701541 0.2094798 -0.032677598 0.049087804 0.1403356 -0.1855377 - actual$covM1$Item7[7, ] -0.497070423 -0.7547802 0.497070432 0.7547804 -0.140335577 0.140335600 0.9612909 -0.9612910 + expected$covM1$Item7[7, ] -0.497070156 -0.7547800 0.497070157 0.7547802 -0.140335508 0.140335550 0.9612905 -0.9612907 - actual$covM1$Item7[8, ] 0.497070491 0.7547803 -0.597197969 -1.0250927 0.140335588 -0.185537715 -0.9612910 1.2003879 + expected$covM1$Item7[8, ] 0.497070250 0.7547801 -0.597197709 -1.0250926 0.140335537 -0.185537697 -0.9612907 1.2003877 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 0.21721180 -0.05067917 -0.21721180 0.05067916 -0.016727691 0.016727691 -0.04568449 0.04568449 + expected$covM1$Item8[1, ] 0.21721293 -0.05067505 -0.21721294 0.05067505 -0.016727393 0.016727393 -0.04568823 0.04568824 - actual$covM1$Item8[2, ] -0.05067917 0.35417160 0.05067913 -0.35417160 0.036914444 -0.036914444 -0.20401809 0.20401813 + expected$covM1$Item8[2, ] -0.05067505 0.35417067 0.05067500 -0.35417068 0.036914681 -0.036914682 -0.20402439 0.20402444 - actual$covM1$Item8[3, ] -0.21721180 0.05067913 0.92890408 0.17793678 0.016727687 -0.015627451 0.04568452 -0.73525815 + expected$covM1$Item8[3, ] -0.21721294 0.05067500 0.92890964 0.17794430 0.016727388 -0.015626913 0.04568827 -0.73526903 - actual$covM1$Item8[4, ] 0.05067916 -0.35417160 0.17793678 0.89881745 -0.036914444 0.074224335 0.20401809 -0.98882991 + expected$covM1$Item8[4, ] 0.05067505 -0.35417068 0.17794430 0.89881657 -0.036914681 0.074224803 0.20402440 -0.98883893 - actual$covM1$Item8[5, ] -0.01672769 0.03691444 0.01672769 -0.03691444 0.005023592 -0.005023592 -0.01817277 0.01817277 + expected$covM1$Item8[5, ] -0.01672739 0.03691468 0.01672739 -0.03691468 0.005023655 -0.005023655 -0.01817352 0.01817353 - actual$covM1$Item8[6, ] 0.01672769 -0.03691444 -0.01562745 0.07422434 -0.005023592 0.008368109 0.01817277 -0.06501135 + expected$covM1$Item8[6, ] 0.01672739 -0.03691468 -0.01562691 0.07422480 -0.005023655 0.008368207 0.01817352 -0.06501257 - actual$covM1$Item8[7, ] -0.04568449 -0.20401809 0.04568452 0.20401809 -0.018172771 0.018172771 0.14886997 -0.14886999 + expected$covM1$Item8[7, ] -0.04568823 -0.20402439 0.04568827 0.20402440 -0.018173524 0.018173525 0.14887904 -0.14887907 - actual$covM1$Item8[8, ] 0.04568449 0.20401813 -0.73525815 -0.98882991 0.018172774 -0.065011354 -0.14886999 1.50533216 + expected$covM1$Item8[8, ] 0.04568824 0.20402444 -0.73526903 -0.98883893 0.018173528 -0.065012570 -0.14887907 1.50534974 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item9[1, ] 0.25475917 0.07025672 -0.25475490 -0.07025636 -0.06274698 0.06274585 -0.013663845 0.013663896 + expected$covM1$Item9[1, ] 0.25475881 0.07024992 -0.25475808 -0.07024849 -0.06275074 0.06275105 -0.013663700 0.013663655 - actual$covM1$Item9[2, ] 0.07025672 0.60118049 -0.07025539 -0.60118038 0.30597946 -0.30597983 -0.031332253 0.031332288 + expected$covM1$Item9[2, ] 0.07024992 0.60117685 -0.07024990 -0.60117701 0.30598139 -0.30598158 -0.031332654 0.031332662 - actual$covM1$Item9[3, ] -0.25475490 -0.07025539 0.53239241 0.08083954 0.06274601 -0.17381536 0.013663609 -0.025656774 + expected$covM1$Item9[3, ] -0.25475808 -0.07024990 0.53240615 0.08083796 0.06275046 -0.17381997 0.013663670 -0.025657010 - actual$covM1$Item9[4, ] -0.07025636 -0.60118038 0.08083954 1.17514929 -0.30597954 0.67373042 0.031332233 -0.065022801 + expected$covM1$Item9[4, ] -0.07024849 -0.60117701 0.08083796 1.17515001 -0.30598205 0.67373212 0.031332603 -0.065022751 - actual$covM1$Item9[5, ] -0.06274698 0.30597946 0.06274601 -0.30597954 0.20175938 -0.20175913 -0.013085260 0.013085260 + expected$covM1$Item9[5, ] -0.06275074 0.30598139 0.06275046 -0.30598205 0.20176268 -0.20176292 -0.013085605 0.013085628 - actual$covM1$Item9[6, ] 0.06274585 -0.30597983 -0.17381536 0.67373042 -0.20175913 0.49392492 0.013085324 -0.031002528 + expected$covM1$Item9[6, ] 0.06275105 -0.30598158 -0.17381997 0.67373212 -0.20176292 0.49392715 0.013085602 -0.031002435 - actual$covM1$Item9[7, ] -0.01366385 -0.03133225 0.01366361 0.03133223 -0.01308526 0.01308532 0.002690592 -0.002690596 + expected$covM1$Item9[7, ] -0.01366370 -0.03133265 0.01366367 0.03133260 -0.01308561 0.01308560 0.002690658 -0.002690657 - actual$covM1$Item9[8, ] 0.01366390 0.03133229 -0.02565677 -0.06502280 0.01308526 -0.03100253 -0.002690596 0.005809164 + expected$covM1$Item9[8, ] 0.01366365 0.03133266 -0.02565701 -0.06502275 0.01308563 -0.03100243 -0.002690657 0.005809144 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item10[1, ] 0.123239708 0.004515539 -0.123239716 -0.004515557 -0.03078644 0.03078643 -0.013233381 0.013233386 + expected$covM1$Item10[1, ] 0.123240150 0.004514483 -0.123240156 -0.004514475 -0.03078682 0.03078682 -0.013233311 0.013233312 - actual$covM1$Item10[2, ] 0.004515539 0.338264660 -0.004515492 -0.338264680 0.10337045 -0.10337048 -0.040320536 0.040320545 + expected$covM1$Item10[2, ] 0.004514483 0.338266774 -0.004514401 -0.338266690 0.10337108 -0.10337107 -0.040320596 0.040320576 - actual$covM1$Item10[3, ] -0.123239716 -0.004515492 0.266629128 -0.003079555 0.03078646 -0.07613289 0.013233376 -0.026303439 + expected$covM1$Item10[3, ] -0.123240156 -0.004514401 0.266629556 -0.003080710 0.03078685 -0.07613330 0.013233302 -0.026303354 - actual$covM1$Item10[4, ] -0.004515557 -0.338264680 -0.003079555 0.678426219 -0.10337045 0.24605848 0.040320540 -0.083396082 + expected$covM1$Item10[4, ] -0.004514475 -0.338266690 -0.003080710 0.678427933 -0.10337106 0.24605896 0.040320585 -0.083396045 - actual$covM1$Item10[5, ] -0.030786442 0.103370453 0.030786459 -0.103370454 0.04268594 -0.04268594 -0.010016364 0.010016366 + expected$covM1$Item10[5, ] -0.030786821 0.103371082 0.030786848 -0.103371059 0.04268611 -0.04268610 -0.010016368 0.010016361 - actual$covM1$Item10[6, ] 0.030786435 -0.103370476 -0.076132887 0.246058478 -0.04268594 0.11808769 0.010016367 -0.025064216 + expected$covM1$Item10[6, ] 0.030786824 -0.103371068 -0.076133298 0.246058961 -0.04268610 0.11808781 0.010016366 -0.025064184 - actual$covM1$Item10[7, ] -0.013233381 -0.040320536 0.013233376 0.040320540 -0.01001636 0.01001637 0.007292337 -0.007292339 + expected$covM1$Item10[7, ] -0.013233311 -0.040320596 0.013233302 0.040320585 -0.01001637 0.01001637 0.007292327 -0.007292325 - actual$covM1$Item10[8, ] 0.013233386 0.040320545 -0.026303439 -0.083396082 0.01001637 -0.02506422 -0.007292339 0.015273257 + expected$covM1$Item10[8, ] 0.013233312 0.040320576 -0.026303354 -0.083396045 0.01001636 -0.02506418 -0.007292325 0.015273228 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item11[1, ] 0.2853170350 -0.13513475 -0.2853170333 0.13513473 -0.19501418 0.19501418 0.0008025076 -0.0008025077 + expected$covM1$Item11[1, ] 0.2853170680 -0.13513477 -0.2853171198 0.13513471 -0.19501422 0.19501420 0.0008025077 -0.0008025058 - actual$covM1$Item11[2, ] -0.1351347455 0.42005165 0.1351347479 -0.42005162 0.31078868 -0.31078866 -0.0603193445 0.0603193433 + expected$covM1$Item11[2, ] -0.1351347690 0.42005171 0.1351348313 -0.42005162 0.31078874 -0.31078870 -0.0603193300 0.0603193272 - actual$covM1$Item11[3, ] -0.2853170333 0.13513475 0.7518202302 0.31830358 0.19501418 -0.09585123 -0.0008025082 -0.0138611184 + expected$covM1$Item11[3, ] -0.2853171198 0.13513483 0.7518137019 0.31829662 0.19501428 -0.09585322 -0.0008025142 -0.0138610701 - actual$covM1$Item11[4, ] 0.1351347318 -0.42005162 0.3183035770 1.17139935 -0.31078866 0.61202503 0.0603193405 -0.0767658804 + expected$covM1$Item11[4, ] 0.1351347105 -0.42005162 0.3182966215 1.17139246 -0.31078866 0.61202317 0.0603193191 -0.0767658668 - actual$covM1$Item11[5, ] -0.1950141836 0.31078868 0.1950141844 -0.31078866 0.27201263 -0.27201262 -0.0388227762 0.0388227755 + expected$covM1$Item11[5, ] -0.1950142183 0.31078874 0.1950142769 -0.31078866 0.27201269 -0.27201266 -0.0388227682 0.0388227657 - actual$covM1$Item11[6, ] 0.1950141757 -0.31078866 -0.0958512284 0.61202503 -0.27201262 0.43504687 0.0388227739 -0.0440350966 + expected$covM1$Item11[6, ] 0.1950142009 -0.31078870 -0.0958532239 0.61202317 -0.27201266 0.43504636 0.0388227639 -0.0440351038 - actual$covM1$Item11[7, ] 0.0008025076 -0.06031934 -0.0008025082 0.06031934 -0.03882278 0.03882277 0.0110777496 -0.0110777493 + expected$covM1$Item11[7, ] 0.0008025077 -0.06031933 -0.0008025142 0.06031932 -0.03882277 0.03882276 0.0110777432 -0.0110777428 - actual$covM1$Item11[8, ] -0.0008025077 0.06031934 -0.0138611184 -0.07676588 0.03882278 -0.04403510 -0.0110777493 0.0119582270 + expected$covM1$Item11[8, ] -0.0008025058 0.06031933 -0.0138610701 -0.07676587 0.03882277 -0.04403510 -0.0110777428 0.0119582260 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item12[1, ] 0.46532880 0.03519907 -0.46532885 -0.03519906 -0.017663749 0.017663751 -0.23638430 0.23638431 + expected$covM1$Item12[1, ] 0.46532938 0.03519918 -0.46532939 -0.03519920 -0.017663737 0.017663735 -0.23638470 0.23638472 - actual$covM1$Item12[2, ] 0.03519907 0.63954876 -0.03519930 -0.63954856 0.067234169 -0.067234132 -0.55221442 0.55221436 + expected$covM1$Item12[2, ] 0.03519918 0.63954952 -0.03519932 -0.63954966 0.067234153 -0.067234152 -0.55221523 0.55221533 - actual$covM1$Item12[3, ] -0.46532885 -0.03519930 0.79585472 0.04754275 0.017663726 -0.038085190 0.23638452 -0.36834603 + expected$covM1$Item12[3, ] -0.46532939 -0.03519932 0.79585595 0.04754444 0.017663723 -0.038085119 0.23638482 -0.36834784 - actual$covM1$Item12[4, ] -0.03519906 -0.63954856 0.04754275 1.11180639 -0.067234148 0.137902815 0.55221425 -0.88825045 + expected$covM1$Item12[4, ] -0.03519920 -0.63954966 0.04754444 1.11180884 -0.067234166 0.137903755 0.55221536 -0.88825380 - actual$covM1$Item12[5, ] -0.01766375 0.06723417 0.01766373 -0.06723415 0.008920189 -0.008920186 -0.05055104 0.05055104 + expected$covM1$Item12[5, ] -0.01766374 0.06723415 0.01766372 -0.06723417 0.008920175 -0.008920175 -0.05055105 0.05055105 - actual$covM1$Item12[6, ] 0.01766375 -0.06723413 -0.03808519 0.13790282 -0.008920186 0.022032876 0.05055101 -0.09433350 + expected$covM1$Item12[6, ] 0.01766373 -0.06723415 -0.03808512 0.13790376 -0.008920175 0.022033142 0.05055105 -0.09433432 - actual$covM1$Item12[7, ] -0.23638430 -0.55221442 0.23638452 0.55221425 -0.050551043 0.050551011 0.57929733 -0.57929728 + expected$covM1$Item12[7, ] -0.23638470 -0.55221523 0.23638482 0.55221536 -0.050551045 0.050551046 0.57929832 -0.57929841 - actual$covM1$Item12[8, ] 0.23638431 0.55221436 -0.36834603 -0.88825045 0.050551035 -0.094333503 -0.57929728 0.87143786 + expected$covM1$Item12[8, ] 0.23638472 0.55221533 -0.36834784 -0.88825380 0.050551055 -0.094334319 -0.57929841 0.87144170 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item13[1, ] 0.346832163 -0.001452976 -0.346832155 0.001452979 -0.03101076 0.03101076 -0.12039290 0.12039289 + expected$covM1$Item13[1, ] 0.346833879 -0.001449219 -0.346833876 0.001449206 -0.03101099 0.03101099 -0.12039596 0.12039597 - actual$covM1$Item13[2, ] -0.001452976 0.551632728 0.001453087 -0.551632824 0.10722592 -0.10722594 -0.36983550 0.36983552 + expected$covM1$Item13[2, ] -0.001449219 0.551633366 0.001449266 -0.551633339 0.10722983 -0.10722983 -0.36984003 0.36983999 - actual$covM1$Item13[3, ] -0.346832155 0.001453087 0.731526255 -0.023016131 0.03101078 -0.05329754 0.12039282 -0.25410484 + expected$covM1$Item13[3, ] -0.346833876 0.001449266 0.731527155 -0.023011660 0.03101100 -0.05329773 0.12039593 -0.25410804 - actual$covM1$Item13[4, ] 0.001452979 -0.551632824 -0.023016131 1.088126023 -0.10722594 0.16616822 0.36983556 -0.74287641 + expected$covM1$Item13[4, ] 0.001449206 -0.551633339 -0.023011660 1.088125162 -0.10722983 0.16617219 0.36984002 -0.74288007 - actual$covM1$Item13[5, ] -0.031010759 0.107225923 0.031010780 -0.107225942 0.02495142 -0.02495142 -0.06329570 0.06329571 + expected$covM1$Item13[5, ] -0.031010987 0.107229832 0.031010996 -0.107229825 0.02495310 -0.02495310 -0.06329883 0.06329882 - actual$covM1$Item13[6, ] 0.031010759 -0.107225936 -0.053297543 0.166168218 -0.02495142 0.03339840 0.06329571 -0.09836558 + expected$covM1$Item13[6, ] 0.031010986 -0.107229829 -0.053297734 0.166172192 -0.02495310 0.03340012 0.06329883 -0.09836876 - actual$covM1$Item13[7, ] -0.120392897 -0.369835497 0.120392820 0.369835561 -0.06329570 0.06329571 0.29718003 -0.29718005 + expected$covM1$Item13[7, ] -0.120395965 -0.369840030 0.120395932 0.369840016 -0.06329883 0.06329883 0.29718598 -0.29718595 - actual$covM1$Item13[8, ] 0.120392893 0.369835524 -0.254104838 -0.742876412 0.06329571 -0.09836558 -0.29718005 0.62303319 + expected$covM1$Item13[8, ] 0.120395968 0.369839990 -0.254108038 -0.742880067 0.06329882 -0.09836876 -0.29718595 0.62303846 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item14[1, ] 1.29012972 0.5768067 -1.29012979 -0.5768067 0.04202913 -0.04202912 -1.1245212 1.1245212 + expected$covM1$Item14[1, ] 1.29013389 0.5768087 -1.29013390 -0.5768087 0.04202913 -0.04202913 -1.1245253 1.1245253 - actual$covM1$Item14[2, ] 0.57680674 1.1322728 -0.57680681 -1.1322727 0.18989000 -0.18989000 -1.3451745 1.3451745 + expected$covM1$Item14[2, ] 0.57680872 1.1322747 -0.57680876 -1.1322746 0.18988948 -0.18988948 -1.3451774 1.3451773 - actual$covM1$Item14[3, ] -1.29012979 -0.5768068 1.73061832 0.2906231 -0.04202914 0.01751389 1.1245213 -1.1126608 + expected$covM1$Item14[3, ] -1.29013390 -0.5768088 1.73057493 0.2906891 -0.04202914 0.01751352 1.1245253 -1.1126825 - actual$covM1$Item14[4, ] -0.57680665 -1.1322727 0.29062312 1.7032558 -0.18988998 0.21828024 1.3451744 -1.5619705 + expected$covM1$Item14[4, ] -0.57680865 -1.1322746 0.29068913 1.7032335 -0.18988947 0.21828314 1.3451772 -1.5619906 - actual$covM1$Item14[5, ] 0.04202913 0.1898900 -0.04202914 -0.1898900 0.03630700 -0.03630700 -0.2049987 0.2049987 + expected$covM1$Item14[5, ] 0.04202913 0.1898895 -0.04202914 -0.1898895 0.03630675 -0.03630675 -0.2049982 0.2049982 - actual$covM1$Item14[6, ] -0.04202912 -0.1898900 0.01751389 0.2182802 -0.03630700 0.03873613 0.2049987 -0.2135023 + expected$covM1$Item14[6, ] -0.04202913 -0.1898895 0.01751352 0.2182831 -0.03630675 0.03873639 0.2049982 -0.2135040 - actual$covM1$Item14[7, ] -1.12452124 -1.3451745 1.12452133 1.3451744 -0.20499871 0.20499870 1.8063745 -1.8063745 + expected$covM1$Item14[7, ] -1.12452529 -1.3451774 1.12452534 1.3451772 -0.20499822 0.20499821 1.8063793 -1.8063793 - actual$covM1$Item14[8, ] 1.12452121 1.3451745 -1.11266084 -1.5619705 0.20499870 -0.21350228 -1.8063745 1.9282958 + expected$covM1$Item14[8, ] 1.12452525 1.3451773 -1.11268248 -1.5619906 0.20499821 -0.21350400 -1.8063793 1.9283204 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 0.53023134 -0.2644534 -0.530231308 0.2644534 -0.3092289 0.3092289 0.01617392 -0.016173904 + expected$covM1$Item15[1, ] 0.53023927 -0.2644582 -0.530239287 0.2644583 -0.3092356 0.3092356 0.01617564 -0.016175658 - actual$covM1$Item15[2, ] -0.26445341 0.7204745 0.264453287 -0.7204746 0.4833377 -0.4833377 -0.19288102 0.192881027 + expected$covM1$Item15[2, ] -0.26445820 0.7204786 0.264458183 -0.7204786 0.4833458 -0.4833458 -0.19288788 0.192887899 - actual$covM1$Item15[3, ] -0.53023131 0.2644533 0.825540852 -0.3536748 0.3092288 -0.3923990 -0.01617388 -0.002782237 + expected$covM1$Item15[3, ] -0.53023929 0.2644582 0.825552007 -0.3536826 0.3092355 -0.3924076 -0.01617563 -0.002780406 - actual$covM1$Item15[4, ] 0.26445337 -0.7204746 -0.353674825 1.3143090 -0.4833377 0.6797754 0.19288103 -0.313293823 + expected$covM1$Item15[4, ] 0.26445825 -0.7204786 -0.353682554 1.3143115 -0.4833458 0.6797861 0.19288787 -0.313305071 - actual$covM1$Item15[5, ] -0.30922892 0.4833377 0.309228841 -0.4833377 0.3699492 -0.3699492 -0.11566501 0.115665014 + expected$covM1$Item15[5, ] -0.30923555 0.4833458 0.309235547 -0.4833458 0.3699587 -0.3699587 -0.11567060 0.115670621 - actual$covM1$Item15[6, ] 0.30922890 -0.4833377 -0.392399037 0.6797754 -0.3699492 0.4480225 0.11566501 -0.150122940 + expected$covM1$Item15[6, ] 0.30923557 -0.4833458 -0.392407610 0.6797861 -0.3699587 0.4480340 0.11567061 -0.150130417 - actual$covM1$Item15[7, ] 0.01617392 -0.1928810 -0.016173883 0.1928810 -0.1156650 0.1156650 0.06109991 -0.061099919 + expected$covM1$Item15[7, ] 0.01617564 -0.1928879 -0.016175634 0.1928879 -0.1156706 0.1156706 0.06110370 -0.061103703 - actual$covM1$Item15[8, ] -0.01617390 0.1928810 -0.002782237 -0.3132938 0.1156650 -0.1501229 -0.06109992 0.092632245 + expected$covM1$Item15[8, ] -0.01617566 0.1928879 -0.002780406 -0.3133051 0.1156706 -0.1501304 -0.06110370 0.092638208 ── Failure ('test-difNLR.R:509:3'): testing paper code - R Journal 2020 - generated data ── Expected `... <- NULL` to throw a message. Backtrace: ▆ 1. ├─testthat::expect_message(...) at test-difNLR.R:509:3 2. │ └─testthat:::expect_condition_matching_(...) 3. │ └─testthat:::quasi_capture(...) 4. │ ├─testthat (local) .capture(...) 5. │ │ └─base::withCallingHandlers(...) 6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo)) 7. └─testthat::expect_message(...) ── Failure ('test-difNLR.R:509:3'): testing paper code - R Journal 2020 - generated data ── Expected `expect_message(...)` to throw a message. ── Failure ('test-difNLR.R:514:3'): testing paper code - R Journal 2020 - generated data ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:621:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:627:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fit12b` to equal `fit12b_expected`. Differences: actual$Sval | expected$Sval [1] 2.093482953 | 2.093482953 [1] [2] 0.789631643 - 0.789631652 [2] [3] 17.651549159 - 17.651549152 [3] [4] 4.840289796 - 4.840289795 [4] [5] 13.156640531 - 13.157333673 [5] [6] 3.871428579 | 3.871428579 [6] [7] 1.577764911 | 1.577764911 [7] [8] 10.909263458 | 10.909263458 [8] [9] 0.609726070 - 0.609726059 [9] [10] 2.485424900 - 2.485338076 [10] ... ... ... and 5 more ... actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.35746079 - 0.35745971 [1] [2] 1.77519049 - 1.77518955 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.82152317 - 0.82152338 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrPAR[[3]] | expected$nlrPAR[[3]] [1] -2.3199631 - -2.3197733 [1] [2] 5.3421365 - 5.3415445 [2] [3] -25.4964528 - -25.4964281 [3] [4] 9.8076985 - 9.8081699 [4] [5] 0.0376932 - 0.0376918 [5] [6] 0.0437675 - 0.0437688 [6] [7] 0.3018453 - 0.3018493 [7] [8] 0.6981547 - 0.6981507 [8] actual$nlrPAR[[5]] | expected$nlrPAR[[5]] [1] 5.12797 - 5.16284 [1] [2] 8.07602 - 8.10857 [2] [3] -4.10592 - -4.14541 [3] [4] -6.69324 - -6.72599 [4] [5] 0.26881 - 0.26828 [5] [6] -0.26881 - -0.26828 [6] [7] 0.82650 - 0.82589 [7] [8] -0.03161 - -0.03059 [8] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.4729980 - -1.4730029 [1] [2] 1.6516312 - 1.6518039 [2] [3] -0.8481872 - -0.8481823 [3] [4] -0.3600650 - -0.3602377 [4] [5] 0.0384072 - 0.0384135 [5] [6] -0.0384072 - -0.0384135 [6] [7] 0.5958526 - 0.5958153 [7] [8] 0.0759435 - 0.0759808 [8] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 1.9367668 - 1.9367987 [1] [2] 1.6539646 - 1.6539875 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0000000 | 0.0000000 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9430469 - 0.9430443 [7] [8] 0.0000000 | 0.0000000 [8] actual$nlrPAR[[11]] | expected$nlrPAR[[11]] [1] 0.128202655 - 0.128183950 [1] [2] 1.125003661 - 1.125023799 [2] [3] 3.463543589 - 3.463561224 [3] [4] 1.510459054 - 1.510437940 [4] [5] 0.330662387 - 0.330668718 [5] [6] -0.330662387 - -0.330668718 [6] [7] 1.000000000 | 1.000000000 [7] [8] -0.042567298 - -0.042567283 [8] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] -1.66009050 - -1.66008240 [1] [2] 1.33991768 - 1.33991285 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.13504804 - 0.13504722 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] `actual$nlrPAR[[14]]` is a double vector (-1.23566868838301, 0.929485919261406, 0, 0, 0.0679990023329196, ...) `expected$nlrPAR[[14]]` is a logical vector (NA, NA, NA, NA, NA, ...) actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.35938123 - 0.35938085 [1] [2] 0.92645356 - 0.92645250 [2] [3] -0.70337283 - -0.70337258 [3] [4] -0.29152945 - -0.29152742 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.354203780 - 0.354203751 [1] [2] 0.684475083 - 0.684474846 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.123356423 - 0.123356465 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.083923066 - 0.083923146 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 2.01441185 - 2.01422145 [1] [2] 4.55481384 - 4.55422652 [2] [3] 45.88628206 - 45.88470108 [3] [4] 27.17529638 - 27.17429000 [4] [5] 0.03196063 - 0.03196191 [5] [6] 0.03831176 - 0.03831283 [6] [7] 0.05301940 - 0.05302205 [7] [8] 0.15715096 - 0.15715189 [8] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 2.831687 - 2.843232 [1] [2] 4.884886 - 4.881027 [2] [3] 2.919046 - 2.929939 [3] [4] 5.007261 - 5.003131 [4] [5] 0.088102 - 0.088051 [5] [6] 0.411614 - 0.410328 [6] [7] 0.041607 - 0.041566 [7] [8] 0.133356 - 0.133532 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.8085484 - 0.8085699 [1] [2] 1.1780994 - 1.1781691 [2] [3] 1.2789891 - 1.2790027 [3] [4] 1.6155253 - 1.6155762 [4] [5] 0.0737609 - 0.0737526 [5] [6] 0.0983961 - 0.0983899 [6] [7] 0.2400120 - 0.2399573 [7] [8] 0.6294437 - 0.6294228 [8] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.4655066 - 0.4655093 [1] [2] 0.7330510 - 0.7330551 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0000000 | 0.0000000 [4] [5] 0.3729587 - 0.3729535 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.0536663 - 0.0536652 [7] [8] 0.0000000 | 0.0000000 [8] actual$nlrSE[[11]] | expected$nlrSE[[11]] [1] 0.8419896 - 0.8419775 [1] [2] 1.3140020 - 1.3139954 [2] [3] 1.4691407 - 1.4691334 [3] [4] 1.8800335 - 1.8800289 [4] [5] 0.3588125 - 0.3587939 [5] [6] 0.5100984 - 0.5100855 [6] [7] 0.2566619 - 0.2566554 [7] [8] 0.2601705 - 0.2601641 [8] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.57657355 - 0.57657277 [1] [2] 0.72417834 - 0.72417780 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.07691239 - 0.07691293 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.35708734 - 0.35708867 [7] [8] 0.00000000 | 0.00000000 [8] `actual$nlrSE[[14]]` is a double vector (0.702643015237967, 0.815358854678453, 0, 0, 0.158538986678922, ...) `expected$nlrSE[[14]]` is a logical vector (NA, NA, NA, NA, NA, ...) actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.95061735 - 0.95061909 [1] [2] 1.30016990 - 1.30017136 [2] [3] 1.54750906 - 1.54750791 [3] [4] 1.93544833 - 1.93544739 [4] [5] 0.81941644 - 0.81941848 [5] [6] 1.17045038 - 1.17044962 [6] [7] 0.40982958 - 0.40983069 [7] [8] 1.25697730 - 1.25697337 [8] `actual$parM0$Item2`: 0.35746079 1.77519049 0.00000000 0.82152317 `expected$parM0$Item2`: 0.35745971 1.77518955 0.00000000 0.82152338 `actual$parM0$Item5`: 1.359628667 1.599830035 0.000000000 0.846203266 `expected$parM0$Item5`: 1.359628363 1.599829768 0.000000000 0.846203299 `actual$parM0$Item9`: 1.9367668 1.6539646 0.0000000 0.9430469 `expected$parM0$Item9`: 1.9367987 1.6539875 0.0000000 0.9430443 `actual$parM0$Item13`: -1.66009050 1.33991768 0.13504804 1.00000000 `expected$parM0$Item13`: -1.66008240 1.33991285 0.13504722 1.00000000 `actual$parM0$Item14`: -1.235668688 0.929485919 0.067999002 1.000000000 `expected$parM0$Item14`: -1.235668242 0.929485444 0.067998934 1.000000000 `actual$parM0$Item15`: -0.002871154 0.741514022 0.000000000 1.000000000 `expected$parM0$Item15`: -0.002870816 0.741514036 0.000000000 1.000000000 `actual$seM0$Item2`: 0.354203780 0.684475083 0.123356423 0.083923066 `expected$seM0$Item2`: 0.354203751 0.684474846 0.123356465 0.083923146 `actual$seM0$Item3`: 0.614646293 0.667965483 0.044831990 0.751300799 `expected$seM0$Item3`: 0.614646232 0.667965449 0.044831989 0.751300770 `actual$seM0$Item5`: 0.481953236 0.804813562 0.291545907 0.072434442 `expected$seM0$Item5`: 0.481953218 0.804813504 0.291545961 0.072434456 `actual$seM0$Item9`: 0.4655066 0.7330510 0.3729587 0.0536663 `expected$seM0$Item9`: 0.4655093 0.7330551 0.3729535 0.0536652 `actual$seM0$Item11`: 0.563259467 0.797881387 0.586945683 0.068677472 `expected$seM0$Item11`: 0.563259429 0.797881417 0.586945703 0.068677471 `actual$seM0$Item13`: 0.57657355 0.72417834 0.07691239 0.35708734 `expected$seM0$Item13`: 0.57657277 0.72417780 0.07691293 0.35708867 `actual$seM0$Item14`: 0.70264302 0.81535885 0.15853899 0.68836089 `expected$seM0$Item14`: 0.70264343 0.81535916 0.15853917 0.68836163 `actual$seM0$Item15`: 0.77548569 0.96120960 0.61211662 0.51441550 `expected$seM0$Item15`: 0.77546791 0.96121158 0.61211727 0.51441502 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] - actual$covM0$Item2[1, ] 0.12546032 0.01600656 -0.017484507 -0.015139077 + expected$covM0$Item2[1, ] 0.12546030 0.01600639 -0.017484532 -0.015139075 - actual$covM0$Item2[2, ] 0.01600656 0.46850614 0.068668193 -0.043624943 + expected$covM0$Item2[2, ] 0.01600639 0.46850581 0.068668203 -0.043624981 - actual$covM0$Item2[3, ] -0.01748451 0.06866819 0.015216807 -0.005050117 + expected$covM0$Item2[3, ] -0.01748453 0.06866820 0.015216817 -0.005050126 - actual$covM0$Item2[4, ] -0.01513908 -0.04362494 -0.005050117 0.007043081 + expected$covM0$Item2[4, ] -0.01513907 -0.04362498 -0.005050126 0.007043094 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.37779007 -0.03882079 -0.011412623 -0.1627677 + expected$covM0$Item3[1, ] 0.37778999 -0.03882075 -0.011412619 -0.1627677 - actual$covM0$Item3[2, ] -0.03882079 0.44617789 0.025013289 -0.4452426 + expected$covM0$Item3[2, ] -0.03882075 0.44617784 0.025013287 -0.4452425 actual$covM0$Item3[3, ] -0.01141262 0.02501329 0.002009907 -0.0211514 - actual$covM0$Item3[4, ] -0.16276769 -0.44524258 -0.021151404 0.5644529 + expected$covM0$Item3[4, ] -0.16276770 -0.44524254 -0.021151403 0.5644528 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.23227892 0.08629765 -0.03249396 -0.020520656 + expected$covM0$Item5[1, ] 0.23227890 0.08629751 -0.03249401 -0.020520651 - actual$covM0$Item5[2, ] 0.08629765 0.64772487 0.20386028 -0.045111270 + expected$covM0$Item5[2, ] 0.08629751 0.64772478 0.20386031 -0.045111277 - actual$covM0$Item5[3, ] -0.03249396 0.20386028 0.08499902 -0.011494711 + expected$covM0$Item5[3, ] -0.03249401 0.20386031 0.08499905 -0.011494716 - actual$covM0$Item5[4, ] -0.02052066 -0.04511127 -0.01149471 0.005246748 + expected$covM0$Item5[4, ] -0.02052065 -0.04511128 -0.01149472 0.005246750 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] - actual$covM0$Item9[1, ] 0.21669637 0.09920145 -0.02810531 -0.015318804 + expected$covM0$Item9[1, ] 0.21669891 0.09921175 -0.02810089 -0.015318989 - actual$covM0$Item9[2, ] 0.09920145 0.53736380 0.23993657 -0.029885042 + expected$covM0$Item9[2, ] 0.09921175 0.53736971 0.23993405 -0.029884439 - actual$covM0$Item9[3, ] -0.02810531 0.23993657 0.13909816 -0.010791228 + expected$covM0$Item9[3, ] -0.02810089 0.23993405 0.13909431 -0.010790751 - actual$covM0$Item9[4, ] -0.01531880 -0.02988504 -0.01079123 0.002880068 + expected$covM0$Item9[4, ] -0.01531899 -0.02988444 -0.01079075 0.002879954 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] [,4] - actual$covM0$Item11[1, ] 0.31726123 -0.05669515 -0.16785082 -0.011100733 + expected$covM0$Item11[1, ] 0.31726118 -0.05669517 -0.16785082 -0.011100729 - actual$covM0$Item11[2, ] -0.05669515 0.63661471 0.42438104 -0.044653974 + expected$covM0$Item11[2, ] -0.05669517 0.63661475 0.42438108 -0.044653976 - actual$covM0$Item11[3, ] -0.16785082 0.42438104 0.34450524 -0.024960115 + expected$covM0$Item11[3, ] -0.16785082 0.42438108 0.34450526 -0.024960118 - actual$covM0$Item11[4, ] -0.01110073 -0.04465397 -0.02496011 0.004716595 + expected$covM0$Item11[4, ] -0.01110073 -0.04465398 -0.02496012 0.004716595 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.33243706 -0.15554523 -0.029739605 -0.02580202 + expected$covM0$Item13[1, ] 0.33243616 -0.15554292 -0.029739639 -0.02580286 - actual$covM0$Item13[2, ] -0.15554523 0.52443427 0.045822417 -0.21908648 + expected$covM0$Item13[2, ] -0.15554292 0.52443349 0.045822766 -0.21908733 - actual$covM0$Item13[3, ] -0.02973960 0.04582242 0.005915516 -0.01549431 + expected$covM0$Item13[3, ] -0.02973964 0.04582277 0.005915598 -0.01549452 - actual$covM0$Item13[4, ] -0.02580202 -0.21908648 -0.015494306 0.12751137 + expected$covM0$Item13[4, ] -0.02580286 -0.21908733 -0.015494520 0.12751232 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] [,4] - actual$covM0$Item14[1, ] 0.49370721 0.06430097 -0.02562503 -0.23252192 + expected$covM0$Item14[1, ] 0.49370779 0.06430145 -0.02562498 -0.23252255 - actual$covM0$Item14[2, ] 0.06430097 0.66481006 0.11747525 -0.51281016 + expected$covM0$Item14[2, ] 0.06430145 0.66481055 0.11747544 -0.51281095 - actual$covM0$Item14[3, ] -0.02562503 0.11747525 0.02513461 -0.07948284 + expected$covM0$Item14[3, ] -0.02562498 0.11747544 0.02513467 -0.07948304 - actual$covM0$Item14[4, ] -0.23252192 -0.51281016 -0.07948284 0.47384071 + expected$covM0$Item14[4, ] -0.23252255 -0.51281095 -0.07948304 0.47384173 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.60137806 -0.2033310 -0.2531193 -0.01492302 + expected$covM0$Item15[1, ] 0.60135048 -0.2033324 -0.2531145 -0.01491655 - actual$covM0$Item15[2, ] -0.20333105 0.9239239 0.5597288 -0.46550302 + expected$covM0$Item15[2, ] -0.20333244 0.9239277 0.5597316 -0.46550469 - actual$covM0$Item15[3, ] -0.25311935 0.5597288 0.3746868 -0.25885124 + expected$covM0$Item15[3, ] -0.25311450 0.5597316 0.3746876 -0.25885369 - actual$covM0$Item15[4, ] -0.01492302 -0.4655030 -0.2588512 0.26462331 + expected$covM0$Item15[4, ] -0.01491655 -0.4655047 -0.2588537 0.26462281 actual$parM1$Item2 | expected$parM1$Item2 [1] 0.548409830 - 0.548409842 [1] [2] 1.789779848 - 1.789779824 [2] [3] -0.355700992 - -0.355698420 [3] [4] 0.414195831 - 0.414259525 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.044729213 - 0.044734175 [6] [7] 0.783276974 - 0.783276972 [7] [8] 0.039050319 - 0.039046109 [8] actual$parM1$Item3 | expected$parM1$Item3 [1] -2.3199631 - -2.3197733 [1] [2] 5.3421365 - 5.3415445 [2] [3] -25.4964528 - -25.4964281 [3] [4] 9.8076985 - 9.8081699 [4] [5] 0.0376932 - 0.0376918 [5] [6] 0.0437675 - 0.0437688 [6] [7] 0.3018453 - 0.3018493 [7] [8] 0.6981547 - 0.6981507 [8] actual$parM1$Item4 | expected$parM1$Item4 [1] -1.567209923 - -1.567209311 [1] [2] 1.903818995 - 1.903817654 [2] [3] 1.011419581 - 1.011419036 [3] [4] -0.062105562 - -0.062104333 [4] [5] 0.112839514 - 0.112839428 [5] [6] -0.112839514 - -0.112839428 [6] [7] 0.971993138 - 0.971993376 [7] [8] -0.036729069 - -0.036729310 [8] actual$parM1$Item5 | expected$parM1$Item5 [1] 5.12797 - 5.16284 [1] [2] 8.07602 - 8.10857 [2] [3] -4.10592 - -4.14541 [3] [4] -6.69324 - -6.72599 [4] [5] 0.26881 - 0.26828 [5] [6] -0.26881 - -0.26828 [6] [7] 0.82650 - 0.82589 [7] [8] -0.03161 - -0.03059 [8] actual$parM1$Item6 | expected$parM1$Item6 [1] 0.54915291 - 0.54915597 [1] [2] 1.16980187 - 1.16980434 [2] [3] 0.16302451 - 0.16302139 [3] [4] 0.11036885 - 0.11036628 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.91472809 - 0.91472732 [7] [8] 0.08527191 - 0.08527268 [8] actual$parM1$Item7 | expected$parM1$Item7 [1] -1.854092975 - -1.854092274 [1] [2] 1.162006272 - 1.162005916 [2] [3] 0.721442516 - 0.721441760 [3] [4] -0.169188466 - -0.169188006 [4] [5] 0.080101984 - 0.080101913 [5] [6] -0.080101984 - -0.080101913 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.4729980 - -1.4730029 [1] [2] 1.6516312 - 1.6518039 [2] [3] -0.8481872 - -0.8481823 [3] [4] -0.3600650 - -0.3602377 [4] [5] 0.0384072 - 0.0384135 [5] [6] -0.0384072 - -0.0384135 [6] [7] 0.5958526 - 0.5958153 [7] [8] 0.0759435 - 0.0759808 [8] actual$parM1$Item9 | expected$parM1$Item9 [1] 2.0691320 - 2.0691010 [1] [2] 1.8190875 - 1.8190633 [2] [3] -0.1501738 - -0.1501237 [3] [4] -0.2347559 - -0.2347183 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9215582 - 0.9215604 [7] [8] 0.0343620 - 0.0343582 [8] actual$parM1$Item10 | expected$parM1$Item10 [1] 0.46843 - 0.46672 [1] [2] 1.24360 - 1.24293 [2] [3] 0.33282 - 0.33068 [3] [4] 0.05890 - 0.05762 [4] [5] 0.00000 | 0.00000 [5] [6] 0.00000 | 0.00000 [6] [7] 0.98901 - 0.98955 [7] [8] 0.00956 - 0.01001 [8] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.128202655 - 0.128183950 [1] [2] 1.125003661 - 1.125023799 [2] [3] 3.463543589 - 3.463561224 [3] [4] 1.510459054 - 1.510437940 [4] [5] 0.330662387 - 0.330668718 [5] [6] -0.330662387 - -0.330668718 [6] [7] 1.000000000 | 1.000000000 [7] [8] -0.042567298 - -0.042567283 [8] actual$parM1$Item12 | expected$parM1$Item12 [1] -2.104040882 - -2.104031973 [1] [2] 1.107953117 - 1.107948014 [2] [3] 1.445234304 - 1.445225411 [3] [4] 0.233239884 - 0.233244931 [4] [5] 0.098411279 - 0.098410593 [5] [6] -0.008780327 - -0.008779648 [6] [7] 1.000000000 | 1.000000000 [7] [8] -0.307435122 - -0.307435112 [8] actual$parM1$Item13 | expected$parM1$Item13 [1] -0.92711855 - -0.92711599 [1] [2] 1.01643331 - 1.01643212 [2] [3] -1.38139064 - -1.38140303 [3] [4] 0.67161738 - 0.67162536 [4] [5] 0.05590652 - 0.05590597 [5] [6] 0.09865493 - 0.09865600 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] `actual$parM1$Item14`: -0.2 3.0 -1.8 -1.6 0.1 0.0 0.5 0.5 `expected$parM1$Item14`: NA NA NA NA NA NA NA NA actual$parM1$Item15 | expected$parM1$Item15 [1] 0.35938123 - 0.35938085 [1] [2] 0.92645356 - 0.92645250 [2] [3] -0.70337283 - -0.70337258 [3] [4] -0.29152945 - -0.29152742 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.552405130 - 0.552405157 [1] [2] 1.110828496 - 1.110828561 [2] [3] 0.725335883 - 0.725336841 [3] [4] 1.507641229 - 1.507657654 [4] [5] 0.214041286 - 0.214041298 [5] [6] 0.240956580 - 0.240954837 [6] [7] 0.116391208 - 0.116391215 [7] [8] 0.151066110 - 0.151064468 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 2.01441185 - 2.01422145 [1] [2] 4.55481384 - 4.55422652 [2] [3] 45.88628206 - 45.88470108 [3] [4] 27.17529638 - 27.17429000 [4] [5] 0.03196063 - 0.03196191 [5] [6] 0.03831176 - 0.03831283 [6] [7] 0.05301940 - 0.05302205 [7] [8] 0.15715096 - 0.15715189 [8] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.642819527 - 0.642819304 [1] [2] 0.961230077 - 0.961229614 [2] [3] 0.762108561 - 0.762108396 [3] [4] 1.213841240 - 1.213840174 [4] [5] 0.078494417 - 0.078494480 [5] [6] 0.125287868 - 0.125287890 [6] [7] 0.234655852 - 0.234656108 [7] [8] 0.271485350 - 0.271485545 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 2.831687 - 2.843232 [1] [2] 4.884886 - 4.881027 [2] [3] 2.919046 - 2.929939 [3] [4] 5.007261 - 5.003131 [4] [5] 0.088102 - 0.088051 [5] [6] 0.411614 - 0.410328 [6] [7] 0.041607 - 0.041566 [7] [8] 0.133356 - 0.133532 [8] actual$seM1$Item6 | expected$seM1$Item6 [1] 0.730603729 - 0.730602809 [1] [2] 1.135651677 - 1.135651553 [2] [3] 0.918260759 - 0.918260251 [3] [4] 1.413724919 - 1.413724857 [4] [5] 0.524381051 - 0.524379810 [5] [6] 0.645519595 - 0.645518695 [6] [7] 0.221429964 - 0.221428820 [7] [8] 0.269873098 - 0.269872183 [8] actual$seM1$Item7 | expected$seM1$Item7 [1] 1.026425210 - 1.026425305 [1] [2] 1.245751340 - 1.245751287 [2] [3] 1.238218184 - 1.238218222 [3] [4] 1.507201316 - 1.507201091 [4] [5] 0.131341587 - 0.131341674 [5] [6] 0.222342697 - 0.222342694 [6] [7] 1.070633692 - 1.070633996 [7] [8] 1.232382485 - 1.232382611 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.8085484 - 0.8085699 [1] [2] 1.1780994 - 1.1781691 [2] [3] 1.2789891 - 1.2790027 [3] [4] 1.6155253 - 1.6155762 [4] [5] 0.0737609 - 0.0737526 [5] [6] 0.0983961 - 0.0983899 [6] [7] 0.2400120 - 0.2399573 [7] [8] 0.6294437 - 0.6294228 [8] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.69061453 - 0.69060975 [1] [2] 1.15434519 - 1.15433921 [2] [3] 0.95084234 - 0.95084034 [3] [4] 1.52067646 - 1.52067364 [4] [5] 0.53704129 - 0.53704891 [5] [6] 0.75152247 - 0.75152470 [6] [7] 0.07119869 - 0.07119991 [7] [8] 0.10501630 - 0.10501641 [8] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.595041 - 0.594891 [1] [2] 0.970029 - 0.969557 [2] [3] 0.807290 - 0.807024 [3] [4] 1.276810 - 1.275855 [4] [5] 0.416901 - 0.416843 [5] [6] 0.562600 - 0.562674 [6] [7] 0.200888 - 0.201230 [7] [8] 0.246264 - 0.246819 [8] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.8419896 - 0.8419775 [1] [2] 1.3140020 - 1.3139954 [2] [3] 1.4691407 - 1.4691334 [3] [4] 1.8800335 - 1.8800289 [4] [5] 0.3588125 - 0.3587939 [5] [6] 0.5100984 - 0.5100855 [6] [7] 0.2566619 - 0.2566554 [7] [8] 0.2601705 - 0.2601641 [8] actual$seM1$Item12 | expected$seM1$Item12 [1] 1.46620433 - 1.46621145 [1] [2] 1.56125221 - 1.56125317 [2] [3] 1.67980272 - 1.67980895 [3] [4] 1.98082483 - 1.98082551 [4] [5] 0.13784176 - 0.13784310 [5] [6] 0.20204308 - 0.20204400 [6] [7] 1.72534323 - 1.72535389 [7] [8] 1.74329722 - 1.74330780 [8] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.848260328 - 0.848260525 [1] [2] 1.149874896 - 1.149875238 [2] [3] 1.255096894 - 1.255099472 [3] [4] 1.531206150 - 1.531207479 [4] [5] 0.253245757 - 0.253246679 [5] [6] 0.262327780 - 0.262328580 [6] [7] 0.730205217 - 0.730205972 [7] [8] 0.816108812 - 0.816108756 [8] `actual$seM1$Item14` is a double vector (0.893497398110729, 2.57281931084159, 1.23596891962177, 2.7577886465888, 0.0848166469217657, ...) `expected$seM1$Item14` is a logical vector (NA, NA, NA, NA, NA, ...) actual$seM1$Item15 | expected$seM1$Item15 [1] 0.95061735 - 0.95061909 [1] [2] 1.30016990 - 1.30017136 [2] [3] 1.54750906 - 1.54750791 [3] [4] 1.93544833 - 1.93544739 [4] [5] 0.81941644 - 0.81941848 [5] [6] 1.17045038 - 1.17044962 [6] [7] 0.40982958 - 0.40983069 [7] [8] 1.25697730 - 1.25697337 [8] actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item2[1, ] 0.30515143 0.06054241 -0.30515146 -0.06054247 -0.04313702 0.04313702 -0.03341430 0.03341430 + expected$covM1$Item2[1, ] 0.30515146 0.06054246 -0.30515146 -0.06054249 -0.04313702 0.04313702 -0.03341430 0.03341431 - actual$covM1$Item2[2, ] 0.06054241 1.23393995 -0.06054241 -1.23394012 0.19807170 -0.19807171 -0.09865889 0.09865890 + expected$covM1$Item2[2, ] 0.06054246 1.23394009 -0.06054245 -1.23394020 0.19807172 -0.19807173 -0.09865891 0.09865891 - actual$covM1$Item2[3, ] -0.30515146 -0.06054241 0.52611214 0.09132583 0.04313703 -0.06515984 0.03341430 -0.05741240 + expected$covM1$Item2[3, ] -0.30515146 -0.06054245 0.52611353 0.09133095 0.04313702 -0.06515891 0.03341430 -0.05741208 - actual$covM1$Item2[4, ] -0.06054247 -1.23394012 0.09132583 2.27298208 -0.19807172 0.28027232 0.09865891 -0.16624410 + expected$covM1$Item2[4, ] -0.06054249 -1.23394020 0.09133095 2.27303160 -0.19807173 0.28027037 0.09865892 -0.16624311 - actual$covM1$Item2[5, ] -0.04313702 0.19807170 0.04313703 -0.19807172 0.04581367 -0.04581367 -0.01272400 0.01272400 + expected$covM1$Item2[5, ] -0.04313702 0.19807172 0.04313702 -0.19807173 0.04581368 -0.04581368 -0.01272400 0.01272400 - actual$covM1$Item2[6, ] 0.04313702 -0.19807171 -0.06515984 0.28027232 -0.04581367 0.05806007 0.01272400 -0.01668542 + expected$covM1$Item2[6, ] 0.04313702 -0.19807173 -0.06515891 0.28027037 -0.04581368 0.05805923 0.01272400 -0.01668506 - actual$covM1$Item2[7, ] -0.03341430 -0.09865889 0.03341430 0.09865891 -0.01272400 0.01272400 0.01354691 -0.01354691 + expected$covM1$Item2[7, ] -0.03341430 -0.09865891 0.03341430 0.09865892 -0.01272400 0.01272400 0.01354692 -0.01354692 - actual$covM1$Item2[8, ] 0.03341430 0.09865890 -0.05741240 -0.16624410 0.01272400 -0.01668542 -0.01354691 0.02282097 + expected$covM1$Item2[8, ] 0.03341431 0.09865891 -0.05741208 -0.16624311 0.01272400 -0.01668506 -0.01354692 0.02282047 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 4.05785509 -7.87861491 -4.057855e+00 7.878615e+00 -0.0363867486 0.0363867488 0.0185489041 -0.0185488934 + expected$covM1$Item3[1, ] 4.05708804 -7.87672878 -4.057092e+00 7.876731e+00 -0.0363876397 0.0363876397 0.0185481640 -0.0185481760 - actual$covM1$Item3[2, ] -7.87861491 20.74632916 7.878620e+00 -2.074633e+01 0.0631582061 -0.0631582065 -0.1118375547 0.1118375256 + expected$covM1$Item3[2, ] -7.87672878 20.74097921 7.876741e+00 -2.074099e+01 0.0631586701 -0.0631586701 -0.1118357009 0.1118357328 - actual$covM1$Item3[3, ] -4.05785466 7.87861964 2.105551e+03 -1.235778e+03 0.0363867371 -0.0728074475 -0.0185489796 4.2813044623 + expected$covM1$Item3[3, ] -4.05709191 7.87674094 2.105406e+03 -1.235692e+03 0.0363876680 -0.0728079551 -0.0185482465 4.2811523979 - actual$covM1$Item3[4, ] 7.87861453 -20.74633144 -1.235778e+03 7.384967e+02 -0.0631581986 0.0822778909 0.1118375950 -2.6177337294 + expected$covM1$Item3[4, ] 7.87673093 -20.74098592 -1.235692e+03 7.384420e+02 -0.0631586859 0.0822781447 0.1118357460 -2.6176435164 - actual$covM1$Item3[5, ] -0.03638675 0.06315821 3.638674e-02 -6.315820e-02 0.0010214817 -0.0010214817 -0.0002134556 0.0002134555 + expected$covM1$Item3[5, ] -0.03638764 0.06315867 3.638767e-02 -6.315869e-02 0.0010215636 -0.0010215636 -0.0002135192 0.0002135193 - actual$covM1$Item3[6, ] 0.03638675 -0.06315821 -7.280745e-02 8.227789e-02 -0.0010214817 0.0014677913 0.0002134556 -0.0002495478 + expected$covM1$Item3[6, ] 0.03638764 -0.06315867 -7.280796e-02 8.227814e-02 -0.0010215636 0.0014678733 0.0002135192 -0.0002496122 - actual$covM1$Item3[7, ] 0.01854890 -0.11183755 -1.854898e-02 1.118376e-01 -0.0002134556 0.0002134556 0.0028110571 -0.0028110569 + expected$covM1$Item3[7, ] 0.01854816 -0.11183570 -1.854825e-02 1.118357e-01 -0.0002135192 0.0002135192 0.0028113378 -0.0028113380 - actual$covM1$Item3[8, ] -0.01854889 0.11183753 4.281304e+00 -2.617734e+00 0.0002134555 -0.0002495478 -0.0028110569 0.0246964255 + expected$covM1$Item3[8, ] -0.01854818 0.11183573 4.281152e+00 -2.617644e+00 0.0002135193 -0.0002496122 -0.0028113380 0.0246967159 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item4[1, ] 0.413216944 -0.35539902 -0.413216941 0.35539899 -0.039550690 0.039550686 0.008273772 -0.008273776 + expected$covM1$Item4[1, ] 0.413216657 -0.35539845 -0.413216667 0.35539821 -0.039550703 0.039550689 0.008273723 -0.008273715 - actual$covM1$Item4[2, ] -0.355399016 0.92396326 0.355398995 -0.92396316 0.056609039 -0.056609025 -0.179534054 0.179534064 + expected$covM1$Item4[2, ] -0.355398450 0.92396237 0.355398486 -0.92396174 0.056609075 -0.056609036 -0.179534198 0.179534178 - actual$covM1$Item4[3, ] -0.413216941 0.35539900 0.580809459 -0.45634154 0.039550690 -0.066430525 -0.008273767 -0.004042090 + expected$covM1$Item4[3, ] -0.413216667 0.35539849 0.580809207 -0.45634078 0.039550705 -0.066430533 -0.008273730 -0.004042139 - actual$covM1$Item4[4, ] 0.355398986 -0.92396316 -0.456341540 1.47341056 -0.056609033 0.111534391 0.179534031 -0.255284750 + expected$covM1$Item4[4, ] 0.355398213 -0.92396174 -0.456340783 1.47340797 -0.056609036 0.111534329 0.179534074 -0.255284706 - actual$covM1$Item4[5, ] -0.039550690 0.05660904 0.039550690 -0.05660903 0.006161374 -0.006161373 -0.008446771 0.008446772 + expected$covM1$Item4[5, ] -0.039550703 0.05660907 0.039550705 -0.05660904 0.006161383 -0.006161381 -0.008446793 0.008446792 - actual$covM1$Item4[6, ] 0.039550686 -0.05660903 -0.066430525 0.11153439 -0.006161373 0.015697050 0.008446769 -0.014274250 + expected$covM1$Item4[6, ] 0.039550689 -0.05660904 -0.066430533 0.11153433 -0.006161381 0.015697055 0.008446786 -0.014274262 - actual$covM1$Item4[7, ] 0.008273772 -0.17953405 -0.008273767 0.17953403 -0.008446771 0.008446769 0.055063369 -0.055063371 + expected$covM1$Item4[7, ] 0.008273723 -0.17953420 -0.008273730 0.17953407 -0.008446793 0.008446786 0.055063489 -0.055063485 - actual$covM1$Item4[8, ] -0.008273776 0.17953406 -0.004042090 -0.25528475 0.008446772 -0.014274250 -0.055063371 0.073704295 + expected$covM1$Item4[8, ] -0.008273715 0.17953418 -0.004042139 -0.25528471 0.008446792 -0.014274262 -0.055063485 0.073704401 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 8.01845020 13.18869615 -8.01845002 -13.18869600 0.0937204300 -0.0937205098 -0.0419188887 0.0419189140 + expected$covM1$Item5[1, ] 8.08396658 13.22870342 -8.08396632 -13.22870373 0.0931436084 -0.0931438048 -0.0420419459 0.0420419882 - actual$covM1$Item5[2, ] 13.18869615 23.86210892 -13.18869583 -23.86210864 0.2265875446 -0.2265876888 -0.0527737456 0.0527737885 + expected$covM1$Item5[2, ] 13.22870342 23.82442586 -13.22870297 -23.82442642 0.2250768467 -0.2250771953 -0.0526480731 0.0526481476 - actual$covM1$Item5[3, ] -8.01845002 -13.18869583 8.52082983 13.23272526 -0.0937204269 -0.0104873976 0.0419188880 -0.0839862273 + expected$covM1$Item5[3, ] -8.08396632 -13.22870297 8.58454043 13.27214216 -0.0931436045 -0.0106856180 0.0420419447 -0.0840730119 - actual$covM1$Item5[4, ] -13.18869600 -23.86210864 13.23272526 25.07266650 -0.2265875421 0.6165787686 0.0527737449 -0.1660007115 + expected$covM1$Item5[4, ] -13.22870373 -23.82442642 13.27214216 25.03131616 -0.2250768519 0.6131749712 0.0526480743 -0.1658866730 - actual$covM1$Item5[5, ] 0.09372043 0.22658754 -0.09372043 -0.22658754 0.0077620424 -0.0077620438 -0.0002204438 0.0002204442 + expected$covM1$Item5[5, ] 0.09314361 0.22507685 -0.09314360 -0.22507685 0.0077529840 -0.0077529872 -0.0002142025 0.0002142032 - actual$covM1$Item5[6, ] -0.09372051 -0.22658769 -0.01048740 0.61657877 -0.0077620438 0.1694263572 0.0002204442 -0.0302539783 + expected$covM1$Item5[6, ] -0.09314380 -0.22507720 -0.01068562 0.61317497 -0.0077529872 0.1683692035 0.0002142033 -0.0301949874 - actual$covM1$Item5[7, ] -0.04191889 -0.05277375 0.04191889 0.05277374 -0.0002204438 0.0002204442 0.0017311666 -0.0017311668 + expected$covM1$Item5[7, ] -0.04204195 -0.05264807 0.04204194 0.05264807 -0.0002142025 0.0002142033 0.0017277220 -0.0017277222 - actual$covM1$Item5[8, ] 0.04191891 0.05277379 -0.08398623 -0.16600071 0.0002204442 -0.0302539783 -0.0017311668 0.0177839368 + expected$covM1$Item5[8, ] 0.04204199 0.05264815 -0.08407301 -0.16588667 0.0002142032 -0.0301949874 -0.0017277222 0.0178307405 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item6[1, ] 0.53378181 -0.2054028 -0.53378176 0.2054028 -0.22140459 0.22140457 -0.02306589 0.02306589 + expected$covM1$Item6[1, ] 0.53378046 -0.2054014 -0.53378054 0.2054014 -0.22140348 0.22140349 -0.02306605 0.02306606 - actual$covM1$Item6[2, ] -0.20540283 1.2897047 0.20540275 -1.2897048 0.54528570 -0.54528570 -0.22167027 0.22167026 + expected$covM1$Item6[2, ] -0.20540138 1.2897044 0.20540146 -1.2897046 0.54528421 -0.54528427 -0.22166897 0.22166897 - actual$covM1$Item6[3, ] -0.53378176 0.2054027 0.84320282 -0.2335129 0.22140454 -0.31653528 0.02306590 -0.05500887 + expected$covM1$Item6[3, ] -0.53378054 0.2054015 0.84320189 -0.2335118 0.22140353 -0.31653440 0.02306604 -0.05500902 - actual$covM1$Item6[4, ] 0.20540281 -1.2897048 -0.23351295 1.9986181 -0.54528573 0.82688962 0.22167029 -0.32976718 + expected$covM1$Item6[4, ] 0.20540139 -1.2897046 -0.23351182 1.9986180 -0.54528426 0.82688830 0.22166899 -0.32976591 - actual$covM1$Item6[5, ] -0.22140459 0.5452857 0.22140454 -0.5452857 0.27497549 -0.27497548 -0.08196554 0.08196554 + expected$covM1$Item6[5, ] -0.22140348 0.5452842 0.22140353 -0.5452843 0.27497419 -0.27497421 -0.08196483 0.08196482 - actual$covM1$Item6[6, ] 0.22140457 -0.5452857 -0.31653528 0.8268896 -0.27497548 0.41669555 0.08196554 -0.11775072 + expected$covM1$Item6[6, ] 0.22140349 -0.5452843 -0.31653440 0.8268883 -0.27497421 0.41669439 0.08196484 -0.11775003 - actual$covM1$Item6[7, ] -0.02306589 -0.2216703 0.02306590 0.2216703 -0.08196554 0.08196554 0.04903123 -0.04903123 + expected$covM1$Item6[7, ] -0.02306605 -0.2216690 0.02306604 0.2216690 -0.08196483 0.08196484 0.04903072 -0.04903072 - actual$covM1$Item6[8, ] 0.02306589 0.2216703 -0.05500887 -0.3297672 0.08196554 -0.11775072 -0.04903123 0.07283149 + expected$covM1$Item6[8, ] 0.02306606 0.2216690 -0.05500902 -0.3297659 0.08196482 -0.11775003 -0.04903072 0.07283100 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 1.05354871 0.05909203 -1.053548728 -0.059092064 -0.04146779 0.04146779 -0.49205770 0.49205773 + expected$covM1$Item7[1, ] 1.05354891 0.05909267 -1.053548924 -0.059092653 -0.04146776 0.04146777 -0.49205829 0.49205830 - actual$covM1$Item7[2, ] 0.05909203 1.55189640 -0.059091947 -1.551896440 0.14354980 -0.14354982 -1.20400357 1.20400360 + expected$covM1$Item7[2, ] 0.05909267 1.55189627 -0.059092592 -1.551896136 0.14354990 -0.14354988 -1.20400392 1.20400385 - actual$covM1$Item7[3, ] -1.05354873 -0.05909195 1.533184270 0.004085243 0.04146780 -0.09524013 0.49205764 -0.62935304 + expected$covM1$Item7[3, ] -1.05354892 -0.05909259 1.533184366 0.004085817 0.04146777 -0.09524010 0.49205824 -0.62935357 - actual$covM1$Item7[4, ] -0.05909206 -1.55189644 0.004085243 2.271655807 -0.14354980 0.27932832 1.20400361 -1.66658587 + expected$covM1$Item7[4, ] -0.05909265 -1.55189614 0.004085817 2.271655128 -0.14354989 0.27932830 1.20400381 -1.66658577 - actual$covM1$Item7[5, ] -0.04146779 0.14354980 0.041467800 -0.143549802 0.01725061 -0.01725061 -0.09547115 0.09547115 + expected$covM1$Item7[5, ] -0.04146776 0.14354990 0.041467771 -0.143549886 0.01725064 -0.01725063 -0.09547125 0.09547125 - actual$covM1$Item7[6, ] 0.04146779 -0.14354982 -0.095240130 0.279328317 -0.01725061 0.04943627 0.09547117 -0.17080804 + expected$covM1$Item7[6, ] 0.04146777 -0.14354988 -0.095240102 0.279328302 -0.01725063 0.04943627 0.09547124 -0.17080805 - actual$covM1$Item7[7, ] -0.49205770 -1.20400357 0.492057644 1.204003614 -0.09547115 0.09547117 1.14625650 -1.14625654 + expected$covM1$Item7[7, ] -0.49205829 -1.20400392 0.492058235 1.204003810 -0.09547125 0.09547124 1.14625715 -1.14625711 - actual$covM1$Item7[8, ] 0.49205773 1.20400360 -0.629353039 -1.666585867 0.09547115 -0.17080804 -1.14625654 1.51876659 + expected$covM1$Item7[8, ] 0.49205830 1.20400385 -0.629353572 -1.666585768 0.09547125 -0.17080805 -1.14625711 1.51876690 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 0.653750466 -0.44914188 -0.653750466 0.44914187 -0.044385362 0.044385362 -0.005721698 0.005721704 + expected$covM1$Item8[1, ] 0.653785288 -0.44925180 -0.653785274 0.44925181 -0.044383941 0.044383942 -0.005709095 0.005709083 - actual$covM1$Item8[2, ] -0.449141877 1.38791828 0.449141861 -1.38791822 0.068817708 -0.068817706 -0.234096416 0.234096390 + expected$covM1$Item8[2, ] -0.449251797 1.38808238 0.449251736 -1.38808240 0.068811560 -0.068811561 -0.234050353 0.234050386 - actual$covM1$Item8[3, ] -0.653750466 0.44914186 1.635813034 -0.89301017 0.044385361 -0.087216409 0.005721701 -0.055468322 + expected$covM1$Item8[3, ] -0.653785274 0.44925174 1.635847779 -0.89312006 0.044383938 -0.087214985 0.005709106 -0.055455691 - actual$covM1$Item8[4, ] 0.449141868 -1.38791822 -0.893010173 2.60992215 -0.068817706 0.126928002 0.234096406 -0.784572769 + expected$covM1$Item8[4, ] 0.449251805 -1.38808240 -0.893120064 2.61008653 -0.068811561 0.126921862 0.234050355 -0.784526835 - actual$covM1$Item8[5, ] -0.044385362 0.06881771 0.044385361 -0.06881771 0.005440665 -0.005440665 -0.009169083 0.009169082 + expected$covM1$Item8[5, ] -0.044383941 0.06881156 0.044383938 -0.06881156 0.005439443 -0.005439443 -0.009165181 0.009165183 - actual$covM1$Item8[6, ] 0.044385362 -0.06881771 -0.087216409 0.12692800 -0.005440665 0.009681794 0.009169083 -0.030680480 + expected$covM1$Item8[6, ] 0.044383942 -0.06881156 -0.087214985 0.12692186 -0.005439443 0.009680572 0.009165181 -0.030676583 - actual$covM1$Item8[7, ] -0.005721698 -0.23409642 0.005721701 0.23409641 -0.009169083 0.009169083 0.057605779 -0.057605774 + expected$covM1$Item8[7, ] -0.005709095 -0.23405035 0.005709106 0.23405035 -0.009165181 0.009165181 0.057579494 -0.057579500 - actual$covM1$Item8[8, ] 0.005721704 0.23409639 -0.055468322 -0.78457277 0.009169082 -0.030680480 -0.057605774 0.396199341 + expected$covM1$Item8[8, ] 0.005709083 0.23405039 -0.055455691 -0.78452683 0.009165183 -0.030676583 -0.057579500 0.396173090 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item9[1, ] 0.47694843 0.26391757 -0.47694847 -0.26391794 -0.04644033 0.04644015 -0.031384704 0.031384717 + expected$covM1$Item9[1, ] 0.47694182 0.26389351 -0.47694182 -0.26389335 -0.04644957 0.04644966 -0.031384335 0.031384331 - actual$covM1$Item9[2, ] 0.26391757 1.33251282 -0.26391740 -1.33251319 0.54226713 -0.54226737 -0.060190039 0.060190036 + expected$covM1$Item9[2, ] 0.26389351 1.33249900 -0.26389340 -1.33249892 0.54227319 -0.54227314 -0.060191115 0.060191116 - actual$covM1$Item9[3, ] -0.47694847 -0.26391740 0.90410116 0.46155828 0.04644043 -0.09546162 0.031384699 -0.062534372 + expected$covM1$Item9[3, ] -0.47694182 -0.26389340 0.90409736 0.46154531 0.04644961 -0.09546590 0.031384331 -0.062534184 - actual$covM1$Item9[4, ] -0.26391794 -1.33251319 0.46155828 2.31245689 -0.54226717 1.00042296 0.060190069 -0.119270450 + expected$covM1$Item9[4, ] -0.26389335 -1.33249892 0.46154531 2.31244832 -0.54227320 1.00042563 0.060191105 -0.119270731 - actual$covM1$Item9[5, ] -0.04644033 0.54226713 0.04644043 -0.54226717 0.28841335 -0.28841340 -0.019544279 0.019544273 + expected$covM1$Item9[5, ] -0.04644957 0.54227319 0.04644961 -0.54227320 0.28842154 -0.28842155 -0.019545103 0.019545105 - actual$covM1$Item9[6, ] 0.04644015 -0.54226737 -0.09546162 1.00042296 -0.28841340 0.56478602 0.019544296 -0.042082073 + expected$covM1$Item9[6, ] 0.04644966 -0.54227314 -0.09546590 1.00042563 -0.28842155 0.56478938 0.019545097 -0.042082266 - actual$covM1$Item9[7, ] -0.03138470 -0.06019004 0.03138470 0.06019007 -0.01954428 0.01954430 0.005069254 -0.005069255 + expected$covM1$Item9[7, ] -0.03138433 -0.06019112 0.03138433 0.06019111 -0.01954510 0.01954510 0.005069427 -0.005069427 - actual$covM1$Item9[8, ] 0.03138472 0.06019004 -0.06253437 -0.11927045 0.01954427 -0.04208207 -0.005069255 0.011028424 + expected$covM1$Item9[8, ] 0.03138433 0.06019112 -0.06253418 -0.11927073 0.01954510 -0.04208227 -0.005069427 0.011028447 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item10[1, ] 0.35407391 -0.1059987 -0.35407393 0.1059986 -0.13331065 0.13331063 -0.02622942 0.02622942 + expected$covM1$Item10[1, ] 0.35389496 -0.1060786 -0.35389488 0.1060786 -0.13329510 0.13329511 -0.02622100 0.02622099 - actual$covM1$Item10[2, ] -0.10599873 0.9409561 0.10599873 -0.9409561 0.36585078 -0.36585078 -0.16938830 0.16938837 + expected$covM1$Item10[2, ] -0.10607858 0.9400403 0.10607820 -0.9400404 0.36563983 -0.36563979 -0.16962426 0.16962427 - actual$covM1$Item10[3, ] -0.35407393 0.1059987 0.65171674 -0.1217540 0.13331066 -0.22307660 0.02622942 -0.05681743 + expected$covM1$Item10[3, ] -0.35389488 0.1060782 0.65128775 -0.1227036 0.13329494 -0.22336174 0.02622107 -0.05676038 - actual$covM1$Item10[4, ] 0.10599864 -0.9409561 -0.12175403 1.6302425 -0.36585075 0.64415833 0.16938831 -0.26727951 + expected$covM1$Item10[4, ] 0.10607865 -0.9400404 -0.12270358 1.6278054 -0.36563989 0.64382548 0.16962427 -0.26778007 - actual$covM1$Item10[5, ] -0.13331065 0.3658508 0.13331066 -0.3658507 0.17380660 -0.17380660 -0.05695872 0.05695874 + expected$covM1$Item10[5, ] -0.13329510 0.3656398 0.13329494 -0.3656399 0.17375774 -0.17375774 -0.05706582 0.05706583 - actual$covM1$Item10[6, ] 0.13331063 -0.3658508 -0.22307660 0.6441583 -0.17380660 0.31651869 0.05695872 -0.08981149 + expected$covM1$Item10[6, ] 0.13329511 -0.3656398 -0.22336174 0.6438255 -0.17375774 0.31660190 0.05706581 -0.09007437 - actual$covM1$Item10[7, ] -0.02622942 -0.1693883 0.02622942 0.1693883 -0.05695872 0.05695872 0.04035609 -0.04035610 + expected$covM1$Item10[7, ] -0.02622100 -0.1696243 0.02622107 0.1696243 -0.05706582 0.05706581 0.04049331 -0.04049331 - actual$covM1$Item10[8, ] 0.02622942 0.1693884 -0.05681743 -0.2672795 0.05695874 -0.08981149 -0.04035610 0.06064597 + expected$covM1$Item10[8, ] 0.02622099 0.1696243 -0.05676038 -0.2677801 0.05706583 -0.09007437 -0.04049331 0.06091960 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item11[1, ] 0.70894649 -0.2232497 -0.70894622 0.2232500 -0.16256796 0.16256799 -0.03869120 0.03869123 + expected$covM1$Item11[1, ] 0.70892610 -0.2232343 -0.70892610 0.2232347 -0.16255575 0.16255588 -0.03869272 0.03869273 - actual$covM1$Item11[2, ] -0.22324971 1.7266012 0.22324989 -1.7266010 0.43015169 -0.43015164 -0.30204230 0.30204228 + expected$covM1$Item11[2, ] -0.22323432 1.7265838 0.22323409 -1.7265840 0.43012574 -0.43012577 -0.30203207 0.30203208 - actual$covM1$Item11[3, ] -0.70894622 0.2232499 2.15837428 1.2173274 0.16256796 0.06080744 0.03869113 -0.07345647 + expected$covM1$Item11[3, ] -0.70892610 0.2232341 2.15835296 1.2173418 0.16255570 0.06081951 0.03869277 -0.07345808 - actual$covM1$Item11[4, ] 0.22324996 -1.7266010 1.21732741 3.5345261 -0.43015169 0.83177542 0.30204224 -0.33532597 + expected$covM1$Item11[4, ] 0.22323465 -1.7265840 1.21734176 3.5345086 -0.43012584 0.83174981 0.30203208 -0.33531585 - actual$covM1$Item11[5, ] -0.16256796 0.4301517 0.16256796 -0.4301517 0.12874640 -0.12874640 -0.06603188 0.06603187 + expected$covM1$Item11[5, ] -0.16255575 0.4301257 0.16255570 -0.4301258 0.12873303 -0.12873306 -0.06602612 0.06602612 - actual$covM1$Item11[6, ] 0.16256799 -0.4301516 0.06080744 0.8317754 -0.12874640 0.26020035 0.06603187 -0.07180132 + expected$covM1$Item11[6, ] 0.16255588 -0.4301258 0.06081951 0.8317498 -0.12873306 0.26018720 0.06602611 -0.07179558 - actual$covM1$Item11[7, ] -0.03869120 -0.3020423 0.03869113 0.3020422 -0.06603188 0.06603187 0.06587535 -0.06587535 + expected$covM1$Item11[7, ] -0.03869272 -0.3020321 0.03869277 0.3020321 -0.06602612 0.06602611 0.06587201 -0.06587201 - actual$covM1$Item11[8, ] 0.03869123 0.3020423 -0.07345647 -0.3353260 0.06603187 -0.07180132 -0.06587535 0.06768871 + expected$covM1$Item11[8, ] 0.03869273 0.3020321 -0.07345808 -0.3353158 0.06602612 -0.07179558 -0.06587201 0.06768537 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item12[1, ] 2.14975514 0.6371254 -2.14975506 -0.6371254 -0.01406078 0.01406077 -1.5846109 1.5846109 + expected$covM1$Item12[1, ] 2.14977602 0.6371468 -2.14977598 -0.6371468 -0.01405930 0.01405930 -1.5846421 1.5846421 - actual$covM1$Item12[2, ] 0.63712536 2.4375085 -0.63712508 -2.4375085 0.19101740 -0.19101742 -2.4657669 2.4657669 + expected$covM1$Item12[2, ] 0.63714682 2.4375115 -0.63714669 -2.4375114 0.19101958 -0.19101958 -2.4657851 2.4657851 - actual$covM1$Item12[3, ] -2.14975506 -0.6371251 2.82173719 0.3515804 0.01406080 -0.09040153 1.5846106 -1.6264848 + expected$covM1$Item12[3, ] -2.14977598 -0.6371467 2.82175811 0.3516020 0.01405931 -0.09040003 1.5846420 -1.6265163 - actual$covM1$Item12[4, ] -0.63712540 -2.4375085 0.35158037 3.9236670 -0.19101740 0.34241018 2.4657670 -2.7187565 + expected$covM1$Item12[4, ] -0.63714682 -2.4375114 0.35160203 3.9236697 -0.19101957 0.34241234 2.4657851 -2.7187746 - actual$covM1$Item12[5, ] -0.01406078 0.1910174 0.01406080 -0.1910174 0.01900035 -0.01900035 -0.1682629 0.1682629 + expected$covM1$Item12[5, ] -0.01405930 0.1910196 0.01405931 -0.1910196 0.01900072 -0.01900072 -0.1682660 0.1682660 - actual$covM1$Item12[6, ] 0.01406077 -0.1910174 -0.09040153 0.3424102 -0.01900035 0.04082141 0.1682630 -0.1893783 + expected$covM1$Item12[6, ] 0.01405930 -0.1910196 -0.09040003 0.3424123 -0.01900072 0.04082178 0.1682660 -0.1893814 - actual$covM1$Item12[7, ] -1.58461087 -2.4657669 1.58461058 2.4657670 -0.16826295 0.16826297 2.9768092 -2.9768092 + expected$covM1$Item12[7, ] -1.58464212 -2.4657851 1.58464198 2.4657851 -0.16826601 0.16826601 2.9768460 -2.9768460 - actual$covM1$Item12[8, ] 1.58461086 2.4657669 -1.62648484 -2.7187565 0.16826294 -0.18937834 -2.9768092 3.0390852 + expected$covM1$Item12[8, ] 1.58464212 2.4657851 -1.62651627 -2.7187746 0.16826600 -0.18938140 -2.9768460 3.0391221 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item13[1, ] 0.71954558 0.03048035 -0.71954557 -0.03048035 -0.06848619 0.06848619 -0.2438941 0.2438941 + expected$covM1$Item13[1, ] 0.71954592 0.03048081 -0.71954594 -0.03048081 -0.06848630 0.06848630 -0.2438945 0.2438945 - actual$covM1$Item13[2, ] 0.03048035 1.32221228 -0.03048044 -1.32221226 0.26451819 -0.26451819 -0.7703040 0.7703040 + expected$covM1$Item13[2, ] 0.03048081 1.32221306 -0.03048086 -1.32221304 0.26451931 -0.26451931 -0.7703051 0.7703051 - actual$covM1$Item13[3, ] -0.71954557 -0.03048044 1.57526821 -0.60788723 0.06848617 -0.11809758 0.2438942 -0.1999263 + expected$covM1$Item13[3, ] -0.71954594 -0.03048086 1.57527468 -0.60789320 0.06848630 -0.11809763 0.2438945 -0.1999257 - actual$covM1$Item13[4, ] -0.03048035 -1.32221226 -0.60788723 2.34459227 -0.26451819 0.31391654 0.7703040 -1.0549128 + expected$covM1$Item13[4, ] -0.03048081 -1.32221304 -0.60789320 2.34459634 -0.26451930 0.31391737 0.7703051 -1.0549127 - actual$covM1$Item13[5, ] -0.06848619 0.26451819 0.06848617 -0.26451819 0.06413341 -0.06413341 -0.1353449 0.1353449 + expected$covM1$Item13[5, ] -0.06848630 0.26451931 0.06848630 -0.26451930 0.06413388 -0.06413388 -0.1353456 0.1353456 - actual$covM1$Item13[6, ] 0.06848619 -0.26451819 -0.11809758 0.31391654 -0.06413341 0.06881586 0.1353449 -0.1456388 + expected$covM1$Item13[6, ] 0.06848630 -0.26451931 -0.11809763 0.31391737 -0.06413388 0.06881628 0.1353456 -0.1456393 - actual$covM1$Item13[7, ] -0.24389411 -0.77030397 0.24389416 0.77030396 -0.13534491 0.13534490 0.5331997 -0.5331997 + expected$covM1$Item13[7, ] -0.24389447 -0.77030513 0.24389451 0.77030512 -0.13534563 0.13534563 0.5332008 -0.5332008 - actual$covM1$Item13[8, ] 0.24389410 0.77030398 -0.19992625 -1.05491283 0.13534491 -0.14563877 -0.5331997 0.6660336 + expected$covM1$Item13[8, ] 0.24389448 0.77030513 -0.19992570 -1.05491273 0.13534563 -0.14563935 -0.5332008 0.6660335 `actual$covM1$Item14` is a double vector (0.798337600430643, -0.23887959835364, -0.798337299486588, 0.238879424921897, -0.0415945899813763, ...) `expected$covM1$Item14` is a logical vector (NA, NA, NA, NA, NA, ...) actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 0.90367334 -0.4642925 -0.90367337 0.4642926 -0.5014526 0.5014526 0.01903688 -0.01903694 + expected$covM1$Item15[1, ] 0.90367665 -0.4642947 -0.90367666 0.4642949 -0.5014550 0.5014551 0.01903736 -0.01903752 - actual$covM1$Item15[2, ] -0.46429249 1.6904418 0.46429251 -1.6904419 1.0024265 -1.0024267 -0.49311324 0.49311337 + expected$covM1$Item15[2, ] -0.46429469 1.6904456 0.46429454 -1.6904460 1.0024303 -1.0024305 -0.49311521 0.49311556 - actual$covM1$Item15[3, ] -0.90367337 0.4642925 2.39478429 -0.5450774 0.5014526 -0.8092926 -0.01903688 -0.33843668 + expected$covM1$Item15[3, ] -0.90367666 0.4642945 2.39478074 -0.5450802 0.5014549 -0.8092939 -0.01903731 -0.33843376 - actual$covM1$Item15[4, ] 0.46429258 -1.6904419 -0.54507745 3.7459603 -1.0024267 2.1520637 0.49311328 -2.11300862 + expected$covM1$Item15[4, ] 0.46429490 -1.6904460 -0.54508018 3.7459566 -1.0024306 2.1520610 0.49311532 -2.11300122 - actual$covM1$Item15[5, ] -0.50145257 1.0024265 0.50145259 -1.0024267 0.6714433 -0.6714434 -0.26496108 0.26496117 + expected$covM1$Item15[5, ] -0.50145502 1.0024303 0.50145494 -1.0024306 0.6714466 -0.6714468 -0.26496257 0.26496280 - actual$covM1$Item15[6, ] 0.50145262 -1.0024267 -0.80929257 2.1520637 -0.6714434 1.3699541 0.26496111 -1.10671886 + expected$covM1$Item15[6, ] 0.50145513 -1.0024305 -0.80929394 2.1520610 -0.6714468 1.3699523 0.26496262 -1.10671372 - actual$covM1$Item15[7, ] 0.01903688 -0.4931132 -0.01903688 0.4931133 -0.2649611 0.2649611 0.16796029 -0.16796032 + expected$covM1$Item15[7, ] 0.01903736 -0.4931152 -0.01903731 0.4931153 -0.2649626 0.2649626 0.16796119 -0.16796128 - actual$covM1$Item15[8, ] -0.01903694 0.4931134 -0.33843668 -2.1130086 0.2649612 -1.1067189 -0.16796032 1.57999194 + expected$covM1$Item15[8, ] -0.01903752 0.4931156 -0.33843376 -2.1130012 0.2649628 -1.1067137 -0.16796128 1.57998205 actual$llM1 | expected$llM1 [1] -196.679581961 | -196.679581961 [1] [2] -243.274684142 - -243.274684138 [2] [3] -79.930016275 - -79.930016278 [3] [4] -211.234195622 | -211.234195622 [4] [5] -249.170904416 - -249.170557845 [5] [6] -246.655698470 | -246.655698470 [6] [7] -217.559317418 | -217.559317418 [7] [8] -115.890000377 | -115.890000377 [8] [9] -198.330606464 - -198.330606466 [9] [10] -236.015424935 - -236.015468347 [10] ... ... ... and 5 more ... actual$pval | expected$pval [1] 0.718569771 | 0.718569771 [1] [2] 0.939832658 - 0.939832657 [2] [3] 0.001443383 | 0.001443383 [3] [4] 0.304080752 | 0.304080752 [4] [5] 0.010535248 - 0.010532079 [5] [6] 0.423685647 | 0.423685647 [6] [7] 0.812782805 | 0.812782805 [7] [8] 0.027602919 | 0.027602919 [8] [9] 0.961976792 - 0.961976793 [9] [10] 0.647247579 - 0.647263148 [10] ... ... ... and 5 more ... actual$adj.pval | expected$adj.pval [1] 0.718569771 | 0.718569771 [1] [2] 0.939832658 - 0.939832657 [2] [3] 0.001443383 | 0.001443383 [3] [4] 0.304080752 | 0.304080752 [4] [5] 0.010535248 - 0.010532079 [5] [6] 0.423685647 | 0.423685647 [6] [7] 0.812782805 | 0.812782805 [7] [8] 0.027602919 | 0.027602919 [8] [9] 0.961976792 - 0.961976793 [9] [10] 0.647247579 - 0.647263148 [10] ... ... ... and 5 more ... `actual$conv.fail`: 0 `expected$conv.fail`: 1 `actual$conv.fail.which`: `expected$conv.fail.which`: 14 ── Failure ('test-difNLR.R:630:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:631:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12b, item = c(1, 14))` to throw a warning. ── Failure ('test-difNLR.R:632:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12b, plot.type = "stat")` to throw a warning. ── Failure ('test-difNLR.R:635:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fitted(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:636:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fitted(fit12b, item = paste0("Item", c(2, 14)))` to throw a warning. ── Failure ('test-difNLR.R:638:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `predict(fit12b, item = 14, match = c(0, 1), group = 0)` to throw a error. ── Failure ('test-difNLR.R:639:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `predict(...)` to throw a warning. ── Failure ('test-difNLR.R:641:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `logLik(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:642:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `logLik(fit12b, item = paste0("Item", c(2, 14)))` to throw a warning. ── Failure ('test-difNLR.R:644:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:645:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = paste0("Item", c(15, 14)))` to throw a warning. ── Failure ('test-difNLR.R:647:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:648:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = paste0("Item", c(4, 6, 10, 14)))` to throw a warning. ── Failure ('test-difNLR.R:650:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `residuals(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:651:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `residuals(fit12b, item = paste0("Item", c(10, 14)))` to throw a warning. ── Failure ('test-difNLR.R:654:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:659:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12c, plot.type = "stat")` to throw a warning. ── Failure ('test-difNLR.R:661:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:666:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12d, plot.type = "stat")` to throw a warning. ── Failure ('test-difORD.R:14:3'): difORD - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095012 - -2.859095114 [1] [2] -4.474700992 - -4.474701157 [2] [3] -6.617933564 - -6.617933791 [3] [4] -7.683709757 - -7.683710147 [4] [5] 1.973534170 - 1.973534245 [5] [6] 0.391732776 - 0.391732843 [6] [7] -0.103073586 - -0.103073618 [7] ── Failure ('test-difORD.R:49:3'): difORD - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095012 - -2.859095114 [1] [2] -4.474700992 - -4.474701157 [2] [3] -6.617933564 - -6.617933791 [3] [4] -7.683709757 - -7.683710147 [4] [5] 1.973534170 - 1.973534245 [5] [6] 0.391732776 - 0.391732843 [6] [7] -0.103073586 - -0.103073618 [7] ── Failure ('test-difORD.R:55:3'): difORD - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: actual$ordPAR$R28 | expected$ordPAR$R28 [1] 0.516855675 - 0.516855693 [1] [2] -0.355536095 - -0.355536107 [2] [3] -3.088430071 - -3.088430132 [3] [4] -5.995404036 - -5.995404231 [4] [5] 1.896255945 - 1.896255978 [5] actual$parM0$R28 | expected$parM0$R28 [1] 0.516855675 - 0.516855693 [1] [2] -0.355536095 - -0.355536107 [2] [3] -3.088430071 - -3.088430132 [3] [4] -5.995404036 - -5.995404231 [4] [5] 1.896255945 - 1.896255978 [5] ── Failure ('test-difORD.R:61:3'): difORD - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R17 | expected$parM1$R17 [1] -2.781485763 - -2.781485821 [1] [2] -4.400399853 - -4.400399968 [2] [3] -6.549566486 - -6.549566659 [3] [4] -7.640105733 - -7.640106082 [4] [5] 1.915188066 - 1.915188114 [5] [6] 0.260331013 - 0.260331026 [6] ── Failure ('test-difORD.R:67:3'): difORD - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: actual$ordPAR$R17 | expected$ordPAR$R17 [1] -2.781485763 - -2.781485821 [1] [2] -4.400399853 - -4.400399968 [2] [3] -6.549566486 - -6.549566659 [3] [4] -7.640105733 - -7.640106082 [4] [5] 1.915188066 - 1.915188114 [5] [6] 0.260331013 - 0.260331026 [6] actual$parM0$R17 | expected$parM0$R17 [1] -2.781485763 - -2.781485821 [1] [2] -4.400399853 - -4.400399968 [2] [3] -6.549566486 - -6.549566659 [3] [4] -7.640105733 - -7.640106082 [4] [5] 1.915188066 - 1.915188114 [5] [6] 0.260331013 - 0.260331026 [6] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095012 - -2.859095114 [1] [2] -4.474700992 - -4.474701157 [2] [3] -6.617933564 - -6.617933791 [3] [4] -7.683709757 - -7.683710147 [4] [5] 1.973534170 - 1.973534245 [5] [6] 0.391732776 - 0.391732843 [6] [7] -0.103073586 - -0.103073618 [7] ── Failure ('test-difORD.R:73:3'): difORD - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: actual$ordPAR$R28 | expected$ordPAR$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] actual$parM0$R20 | expected$parM0$R20 [1] -5.683252711 - -5.683253024 [1] [2] -6.437898816 - -6.437899279 [2] [3] -8.982539929 - -8.982540492 [3] [4] -10.651801297 - -10.651801994 [4] [5] 0.091752686 - 0.091752692 [5] actual$parM0$R28 | expected$parM0$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] actual$parM1$R17 | expected$parM1$R17 [1] -7.708446519 - -7.708446234 [1] [2] -9.324052563 - -9.324052214 [2] [3] -11.467285197 - -11.467284786 [3] [4] -12.533061553 - -12.533060979 [4] [5] 0.098064975 - 0.098064971 [5] [6] 0.645004452 - 0.645004306 [6] [7] -0.005121731 - -0.005121730 [7] ── Failure ('test-estimNLR.R:27:3'): estimNLR - examples at help page ────────── Expected `fit_nls` to equal `fit_nls_expected`. Differences: environment(actual$m$resid)$QR$qr vs environment(expected$m$resid)$QR$qr [,1] [,2] [,3] [,4] [,5] - environment(actual$m$resid)$QR$qr[1, ] 5.963120661 0.852642643 -13.527931249 3.177205947 1.7583828032 + environment(expected$m$resid)$QR$qr[1, ] 5.963261226 0.852560464 -13.527556506 3.177313389 1.7583516255 - environment(actual$m$resid)$QR$qr[2, ] -0.029687716 8.648112225 -21.144404001 0.899205358 3.8468824021 + environment(expected$m$resid)$QR$qr[2, ] -0.029687977 8.648110747 -21.144447110 0.899232349 3.8468635002 - environment(actual$m$resid)$QR$qr[3, ] -0.028436188 0.016244083 -7.267865949 0.953687516 0.1653027588 + environment(expected$m$resid)$QR$qr[3, ] -0.028435985 0.016243760 -7.267532821 0.953686407 0.1653872982 - environment(actual$m$resid)$QR$qr[4, ] 0.030301791 0.008537437 0.036798702 2.670830880 0.4799710535 + environment(expected$m$resid)$QR$qr[4, ] 0.030302593 0.008538069 0.036797385 2.670897273 0.4798861365 - environment(actual$m$resid)$QR$qr[5, ] -0.028448373 0.023909891 0.016097513 0.021135142 -4.0766938069 + environment(expected$m$resid)$QR$qr[5, ] -0.028448307 0.023909519 0.016097352 0.021135607 -4.0766899133 - environment(actual$m$resid)$QR$qr[6, ] 0.029223825 0.015616436 0.006908037 -0.042582070 0.0244168656 + environment(expected$m$resid)$QR$qr[6, ] 0.029223489 0.015617142 0.006907559 -0.042581943 0.0244181648 - environment(actual$m$resid)$QR$qr[7, ] 0.007239807 0.025996907 -0.014138455 0.004974952 -0.0281132693 + environment(expected$m$resid)$QR$qr[7, ] 0.007238958 0.025996739 -0.014137714 0.004973591 -0.0281138382 - environment(actual$m$resid)$QR$qr[8, ] 0.018242250 0.024167186 -0.016928780 -0.022879455 0.0289711621 + environment(expected$m$resid)$QR$qr[8, ] 0.018241477 0.024167696 -0.016929652 -0.022878721 0.0289712647 - environment(actual$m$resid)$QR$qr[9, ] -0.028448373 0.023909891 0.016097513 0.021135142 0.0128984388 + environment(expected$m$resid)$QR$qr[9, ] -0.028448307 0.023909519 0.016097352 0.021135607 0.0128981480 - environment(actual$m$resid)$QR$qr[10, ] -0.029687716 0.023424644 0.021184209 -0.045425542 -0.0378482111 + environment(expected$m$resid)$QR$qr[10, ] -0.029687977 0.023424170 0.021185597 -0.045425625 -0.0378467920 and 1990 more ... environment(actual$m$resid)$QR$qraux vs environment(expected$m$resid)$QR$qraux - 1.017945042 + 1.017944242 - 1.023424644 + 1.023424170 - 1.024304474 + 1.024304511 - 1.014607926 + 1.014608993 - 1.012898439 + 1.012898148 `environment(actual$m$resid)$env$a`: 1.1211192 `environment(expected$m$resid)$env$a`: 1.1211100 `environment(actual$m$resid)$env$aDif`: -0.064508 `environment(expected$m$resid)$env$aDif`: -0.064526 `environment(actual$m$resid)$env$b`: -0.303651 `environment(expected$m$resid)$env$b`: -0.303670 `environment(actual$m$resid)$env$bDif`: 0.9496967 `environment(expected$m$resid)$env$bDif`: 0.9496952 `environment(actual$m$resid)$env$c`: 0.1105615 `environment(expected$m$resid)$env$c`: 0.1105529 environment(actual$m$resid)$internalPars vs environment(expected$m$resid)$internalPars - 1.1211192 + 1.1211100 - -0.3036505 + -0.3036699 - 0.1105615 + 0.1105529 - -0.0645084 + -0.0645258 - 0.9496967 + 0.9496952 attr(environment(actual$m$resid)$resid, 'gradient') vs attr(environment(expected$m$resid)$resid, 'gradient') [,1] [,2] [,3] [,4] [,5] - attr(environment(actual$m$resid)$resid, 'gradient')[1, ] -0.10700845 -0.21818103 0.63356912 -0.10700846 -0.21818104 + attr(environment(expected$m$resid)$resid, 'gradient')[1, ] -0.10700620 -0.21817975 0.63356084 -0.10700627 -0.21817974 - attr(environment(actual$m$resid)$resid, 'gradient')[2, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$resid, 'gradient')[2, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 - attr(environment(actual$m$resid)$resid, 'gradient')[3, ] 0.16956842 -0.11056730 0.12701408 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[3, ] 0.16957121 -0.11056701 0.12701335 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[4, ] -0.18069324 -0.10570857 0.87083552 -0.18069322 -0.10570857 + attr(environment(expected$m$resid)$resid, 'gradient')[4, ] -0.18070228 -0.10571242 0.87082766 -0.18070227 -0.10571242 - attr(environment(actual$m$resid)$resid, 'gradient')[5, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[5, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[6, ] -0.17426520 -0.16579459 0.78936882 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[6, ] -0.17426730 -0.16579795 0.78936344 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[7, ] -0.04317184 -0.23244006 0.55165442 -0.04317192 -0.23244006 + attr(environment(expected$m$resid)$resid, 'gradient')[7, ] -0.04316780 -0.23243709 0.55164768 -0.04316789 -0.23243709 - attr(environment(actual$m$resid)$resid, 'gradient')[8, ] -0.10878074 -0.22819040 0.64546899 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[8, ] -0.10877869 -0.22819249 0.64546285 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[9, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[9, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[10, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$resid, 'gradient')[10, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 and 1990 more ... environment(actual$m$resid)$resid vs environment(expected$m$resid)$resid - -0.43647923 + -0.43648118 - 0.21334032 + 0.21334351 - 0.11297119 + 0.11297170 - -0.22544538 + -0.22544492 - 0.20498593 + 0.20498604 - -0.29790500 + -0.29790303 - 0.49066267 + 0.49066141 - 0.57410495 + 0.57410507 - 0.20498593 + 0.20498604 - 0.21334032 + 0.21334351 and 1990 more ... attr(environment(actual$m$resid)$rhs, 'gradient') vs attr(environment(expected$m$resid)$rhs, 'gradient') [,1] [,2] [,3] [,4] [,5] - attr(environment(actual$m$resid)$rhs, 'gradient')[1, ] -0.10700845 -0.21818103 0.63356912 -0.10700846 -0.21818104 + attr(environment(expected$m$resid)$rhs, 'gradient')[1, ] -0.10700620 -0.21817975 0.63356084 -0.10700627 -0.21817974 - attr(environment(actual$m$resid)$rhs, 'gradient')[2, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$rhs, 'gradient')[2, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 - attr(environment(actual$m$resid)$rhs, 'gradient')[3, ] 0.16956842 -0.11056730 0.12701408 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[3, ] 0.16957121 -0.11056701 0.12701335 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[4, ] -0.18069324 -0.10570857 0.87083552 -0.18069322 -0.10570857 + attr(environment(expected$m$resid)$rhs, 'gradient')[4, ] -0.18070228 -0.10571242 0.87082766 -0.18070227 -0.10571242 - attr(environment(actual$m$resid)$rhs, 'gradient')[5, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[5, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[6, ] -0.17426520 -0.16579459 0.78936882 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[6, ] -0.17426730 -0.16579795 0.78936344 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[7, ] -0.04317184 -0.23244006 0.55165442 -0.04317192 -0.23244006 + attr(environment(expected$m$resid)$rhs, 'gradient')[7, ] -0.04316780 -0.23243709 0.55164768 -0.04316789 -0.23243709 - attr(environment(actual$m$resid)$rhs, 'gradient')[8, ] -0.10878074 -0.22819040 0.64546899 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[8, ] -0.10877869 -0.22819249 0.64546285 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[9, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[9, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[10, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$rhs, 'gradient')[10, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 and 1990 more ... environment(actual$m$resid)$rhs vs environment(expected$m$resid)$rhs - 0.43647923 + 0.43648118 - 0.78665968 + 0.78665649 - 0.88702881 + 0.88702830 - 0.22544538 + 0.22544492 - 0.79501407 + 0.79501396 - 0.29790500 + 0.29790303 - 0.50933733 + 0.50933859 - 0.42589505 + 0.42589493 - 0.79501407 + 0.79501396 - 0.78665968 + 0.78665649 and 1990 more ... `actual$convInfo$finIter`: 9 `expected$convInfo$finIter`: 8 `actual$convInfo$nEval`: 10 10 `expected$convInfo$nEval`: 11 9 ── Failure ('test-estimNLR.R:96:3'): estimNLR - examples at help page ────────── Expected `fit_irls` to equal `fit_irls_expected`. Differences: environment(actual$family$variance)$okLinks[3:6] vs environment(expected$family$variance)$okLinks[3:5] "cloglog" "cauchit" "log" - "identity" [ FAIL 48 | WARN 1 | SKIP 16 | PASS 294 ] Deleting unused snapshots: 'difNLR/plot-fit1-gen.svg', 'difNLR/plot-fit2-gen.svg', and 'difNLR/plot-stat-gen.svg' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.5.1-4
Check: tests
Result: ERROR Running ‘testthat.R’ [8m/21m] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(difNLR) > > test_check("difNLR") Saving _problems/test-difNLR-14.R Saving _problems/test-difNLR-27.R Saving _problems/test-difNLR-30.R Saving _problems/test-difNLR-33.R Saving _problems/test-difNLR-67.R Saving _problems/test-difNLR-74.R Saving _problems/test-difNLR-82.R Saving _problems/test-difNLR-90.R Saving _problems/test-difNLR-98.R Saving _problems/test-difNLR-105.R Saving _problems/test-difNLR-112.R Saving _problems/test-difNLR-118.R Saving _problems/test-difNLR-125.R Saving _problems/test-difNLR-134.R Saving _problems/test-difNLR-142.R Saving _problems/test-difNLR-377.R Saving _problems/test-difNLR-512.R Saving _problems/test-difNLR-512.R Saving _problems/test-difNLR-517.R $Item6H_6 Saving _problems/test-difNLR-624.R Saving _problems/test-difNLR-627.R Saving _problems/test-difNLR-630.R Saving _problems/test-difNLR-631.R Saving _problems/test-difNLR-632.R Saving _problems/test-difNLR-635.R Saving _problems/test-difNLR-636.R Saving _problems/test-difNLR-638.R Saving _problems/test-difNLR-639.R Saving _problems/test-difNLR-641.R Saving _problems/test-difNLR-642.R Saving _problems/test-difNLR-644.R Saving _problems/test-difNLR-645.R Saving _problems/test-difNLR-647.R Saving _problems/test-difNLR-648.R Saving _problems/test-difNLR-650.R Saving _problems/test-difNLR-651.R Saving _problems/test-difNLR-657.R Saving _problems/test-difNLR-659.R Saving _problems/test-difNLR-664.R Saving _problems/test-difNLR-666.R $Item5 $Item5 $Item5 $Item5 Saving _problems/test-difORD-14.R Saving _problems/test-difORD-49.R Saving _problems/test-difORD-55.R Saving _problems/test-difORD-61.R Saving _problems/test-difORD-67.R Saving _problems/test-difORD-73.R Saving _problems/test-estimNLR-27.R Saving _problems/test-estimNLR-96.R [ FAIL 48 | WARN 1 | SKIP 16 | PASS 294 ] ══ Skipped tests (16) ══════════════════════════════════════════════════════════ • On CRAN (16): 'test-ddfMLR.R:1:1', 'test-ddfMLR.R:178:1', 'test-ddfMLR.R:209:1', 'test-difNLR.R:1:1', 'test-difNLR.R:306:1', 'test-difNLR.R:323:1', 'test-difNLR.R:534:1', 'test-difNLR.R:577:1', 'test-difORD.R:1:1', 'test-difORD.R:198:1', 'test-difORD.R:238:1', 'test-estimNLR.R:1:1', 'test-genNLR.R:1:1', 'test-genNLR.R:97:1', 'test-startNLR.R:1:1', 'test-startNLR.R:59:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-difNLR.R:14:3'): difNLR - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$nlrPAR[[19]]`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020992 0.16690432 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$nlrSE[[19]]`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020992 0.16690432 0.11558346 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226378 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576915 0.82846614 0.07274197 0.11401518 0.20008979 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951090 0.22840255 0.16653679 0.17824102 0.18525771 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389652 - 0.317389648 [1] [2] 0.180970627 - 0.180970873 [2] [3] 0.126195456 - 0.126195564 [3] [4] 0.161661699 - 0.161661852 [4] [5] 0.088776085 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267653 -0.04957514 -0.009803337 0.005316360 -0.058633985 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575139 0.05216772 -0.013482942 -0.025705004 0.035057791 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803337 -0.01348294 0.027734503 0.018707553 -0.003097784 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316360 -0.02570500 0.018707553 0.031769863 -0.009151661 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633985 0.03505779 -0.003097784 -0.009151661 0.034320418 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736191 -0.045897301 -0.0097905630 -0.003091693 -0.0270592881 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897301 0.032750368 0.0029241532 -0.009602347 0.0127859117 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790563 0.002924153 0.0159252931 -0.003765778 0.0005707833 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091693 -0.009602347 -0.0037657784 0.026134505 0.0014824507 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059288 0.012785912 0.0005707833 0.001482451 0.0078811934 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 ── Failure ('test-difNLR.R:27:3'): difNLR - examples at help page ────────────── Expected `coef(fit1)` to equal `fit1_coef1_expected`. Differences: actual$Item1 vs expected$Item1 [,1] [,2] [,3] [,4] [,5] - actual$Item1[1, ] 1.1211115 -0.30366673 -0.06452303 0.9496955 0.11055433 + expected$Item1[1, ] 1.1211096 -0.30367079 -0.06452658 0.9496952 0.11055254 - actual$Item1[2, ] 0.8275635 -0.64093641 -0.39938649 0.7318107 -0.01922413 + expected$Item1[2, ] 0.8275618 -0.64094274 -0.39938806 0.7318103 -0.01922709 - actual$Item1[3, ] 1.4146595 0.03360294 0.27034043 1.1675803 0.24033280 + expected$Item1[3, ] 1.4146573 0.03360115 0.27033489 1.1675800 0.24033216 actual$Item2 vs expected$Item2 [,1] [,2] [,3] [,4] [,5] - actual$Item2[1, ] 0.7152887 -0.4752518 0.5270872 0.5030715 0.07629900 + expected$Item2[1, ] 0.7152842 -0.4752771 0.5270724 0.5030783 0.07629099 - actual$Item2[2, ] 0.5104054 -1.0568661 0.1738859 0.1923783 -0.08944687 + expected$Item2[2, ] 0.5104020 -1.0569059 0.1738772 0.1923828 -0.08946022 - actual$Item2[3, ] 0.9201720 0.1063626 0.8802885 0.8137647 0.24204487 + expected$Item2[3, ] 0.9201664 0.1063518 0.8802676 0.8137739 0.24204220 actual$Item3 vs expected$Item3 [,1] [,2] [,3] - actual$Item3[1, ] 0.6742923 -1.5047526 0.0000000 + expected$Item3[1, ] 0.6742919 -1.5047528 0.0000000 - actual$Item3[2, ] 0.3510788 -3.8836030 -0.8092907 + expected$Item3[2, ] 0.3510784 -3.8836065 -0.8092914 - actual$Item3[3, ] 0.9975057 0.8740977 0.8092907 + expected$Item3[3, ] 0.9975053 0.8741010 0.8092914 actual$Item12 vs expected$Item12 [,1] [,2] [,3] - actual$Item12[1, ] 0.8977815 0.3821502 0.20920247 + expected$Item12[1, ] 0.8977892 0.3821652 0.20920692 - actual$Item12[2, ] 0.5562310 -0.1638465 0.04190755 + expected$Item12[2, ] 0.5562369 -0.1638188 0.04191572 - actual$Item12[3, ] 1.2393320 0.9281469 0.37649740 + expected$Item12[3, ] 1.2393415 0.9281493 0.37649812 actual$Item15 vs expected$Item15 [,1] [,2] [,3] - actual$Item15[1, ] 0.5969715 -0.1624826 0.0000000 + expected$Item15[1, ] 0.5969710 -0.1624826 0.0000000 - actual$Item15[2, ] 0.2924758 -1.7880450 -0.4508180 + expected$Item15[2, ] 0.2924753 -1.7880480 -0.4508185 - actual$Item15[3, ] 0.9014671 1.4630798 0.4508180 + expected$Item15[3, ] 0.9014667 1.4630829 0.4508185 actual$Item17 vs expected$Item17 [,1] [,2] [,3] - actual$Item17[1, ] 0.6847759 0.76018625 0.1095428 + expected$Item17[1, ] 0.6847714 0.76017007 0.1095386 - actual$Item17[2, ] 0.3576494 -0.03282381 -0.1169966 + expected$Item17[2, ] 0.3576462 -0.03285713 -0.1170052 - actual$Item17[3, ] 1.0119023 1.55319630 0.3360823 + expected$Item17[3, ] 1.0118965 1.55319727 0.3360824 actual$Item18 vs expected$Item18 [,1] [,2] [,3] - actual$Item18[1, ] 1.0130030 0.5271836 0.02923429 + expected$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.7467681 0.2319368 -0.09187737 + expected$Item18[2, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[3, ] 1.2792379 0.8224303 0.15034595 + expected$Item18[3, ] 1.2792380 0.8224303 0.15034599 actual$Item19 vs expected$Item19 [,1] [,2] [,3] [,4] [,5] - actual$Item19[1, ] 1.0724722 0.32685544 -0.28026602 -0.1179629 0.06295757 + expected$Item19[1, ] 1.0724564 0.32683925 -0.28025431 -0.1179664 0.06295113 - actual$Item19[2, ] 0.7086761 -0.06061478 -0.57594868 -0.3699005 -0.09366360 + expected$Item19[2, ] 0.7086647 -0.06064279 -0.57593174 -0.3699033 -0.09367449 - actual$Item19[3, ] 1.4362683 0.71432566 0.01541665 0.1339747 0.21957875 + expected$Item19[3, ] 1.4362481 0.71432129 0.01542311 0.1339705 0.21957674 actual$Item20 vs expected$Item20 [,1] [,2] [,3] - actual$Item20[1, ] 1.2606952 1.0741939 0.2041042 + expected$Item20[1, ] 1.2606957 1.0741941 0.2041043 - actual$Item20[2, ] 0.8841609 0.8738657 0.1346807 + expected$Item20[2, ] 0.8841613 0.8738660 0.1346808 - actual$Item20[3, ] 1.6372294 1.2745221 0.2735277 + expected$Item20[3, ] 1.6372300 1.2745222 0.2735277 ── Failure ('test-difNLR.R:30:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE)` to equal `fit1_coef2_expected`. Differences: actual$Item1 vs expected$Item1 [,1] [,2] [,3] [,4] [,5] - actual$Item1[1, ] 1.1211115 -0.30366673 -0.06452303 0.9496955 0.11055433 + expected$Item1[1, ] 1.1211096 -0.30367079 -0.06452658 0.9496952 0.11055254 - actual$Item1[2, ] 0.1497721 0.17207953 0.17085184 0.1111678 0.06621472 + expected$Item1[2, ] 0.1497720 0.17208068 0.17085083 0.1111678 0.06621531 - actual$Item1[3, ] 0.8275635 -0.64093641 -0.39938649 0.7318107 -0.01922413 + expected$Item1[3, ] 0.8275618 -0.64094274 -0.39938806 0.7318103 -0.01922709 - actual$Item1[4, ] 1.4146595 0.03360294 0.27034043 1.1675803 0.24033280 + expected$Item1[4, ] 1.4146573 0.03360115 0.27033489 1.1675800 0.24033216 actual$Item2 vs expected$Item2 [,1] [,2] [,3] [,4] [,5] - actual$Item2[1, ] 0.7152887 -0.4752518 0.5270872 0.5030715 0.07629900 + expected$Item2[1, ] 0.7152842 -0.4752771 0.5270724 0.5030783 0.07629099 - actual$Item2[2, ] 0.1045342 0.2967475 0.1802081 0.1585198 0.08456577 + expected$Item2[2, ] 0.1045337 0.2967549 0.1802049 0.1585211 0.08456850 - actual$Item2[3, ] 0.5104054 -1.0568661 0.1738859 0.1923783 -0.08944687 + expected$Item2[3, ] 0.5104020 -1.0569059 0.1738772 0.1923828 -0.08946022 - actual$Item2[4, ] 0.9201720 0.1063626 0.8802885 0.8137647 0.24204487 + expected$Item2[4, ] 0.9201664 0.1063518 0.8802676 0.8137739 0.24204220 actual$Item3 vs expected$Item3 [,1] [,2] [,3] - actual$Item3[1, ] 0.6742923 -1.5047526 0.0000000 + expected$Item3[1, ] 0.6742919 -1.5047528 0.0000000 - actual$Item3[2, ] 0.1649078 1.2137215 0.4129110 + expected$Item3[2, ] 0.1649079 1.2137232 0.4129113 - actual$Item3[3, ] 0.3510788 -3.8836030 -0.8092907 + expected$Item3[3, ] 0.3510784 -3.8836065 -0.8092914 - actual$Item3[4, ] 0.9975057 0.8740977 0.8092907 + expected$Item3[4, ] 0.9975053 0.8741010 0.8092914 actual$Item12 vs expected$Item12 [,1] [,2] [,3] - actual$Item12[1, ] 0.8977815 0.3821502 0.20920247 + expected$Item12[1, ] 0.8977892 0.3821652 0.20920692 - actual$Item12[2, ] 0.1742637 0.2785749 0.08535612 + expected$Item12[2, ] 0.1742646 0.2785684 0.08535422 - actual$Item12[3, ] 0.5562310 -0.1638465 0.04190755 + expected$Item12[3, ] 0.5562369 -0.1638188 0.04191572 - actual$Item12[4, ] 1.2393320 0.9281469 0.37649740 + expected$Item12[4, ] 1.2393415 0.9281493 0.37649812 actual$Item15 vs expected$Item15 [,1] [,2] [,3] - actual$Item15[1, ] 0.5969715 -0.1624826 0.0000000 + expected$Item15[1, ] 0.5969710 -0.1624826 0.0000000 - actual$Item15[2, ] 0.1553578 0.8293838 0.2300134 + expected$Item15[2, ] 0.1553578 0.8293854 0.2300137 - actual$Item15[3, ] 0.2924758 -1.7880450 -0.4508180 + expected$Item15[3, ] 0.2924753 -1.7880480 -0.4508185 - actual$Item15[4, ] 0.9014671 1.4630798 0.4508180 + expected$Item15[4, ] 0.9014667 1.4630829 0.4508185 actual$Item17 vs expected$Item17 [,1] [,2] [,3] - actual$Item17[1, ] 0.6847759 0.76018625 0.1095428 + expected$Item17[1, ] 0.6847714 0.76017007 0.1095386 - actual$Item17[2, ] 0.1669043 0.40460440 0.1155835 + expected$Item17[2, ] 0.1669037 0.40461315 0.1155857 - actual$Item17[3, ] 0.3576494 -0.03282381 -0.1169966 + expected$Item17[3, ] 0.3576462 -0.03285713 -0.1170052 - actual$Item17[4, ] 1.0119023 1.55319630 0.3360823 + expected$Item17[4, ] 1.0118965 1.55319727 0.3360824 actual$Item18 vs expected$Item18 [,1] [,2] [,3] - actual$Item18[1, ] 1.0130030 0.5271836 0.02923429 + expected$Item18[1, ] 1.0130030 0.5271836 0.02923430 - actual$Item18[2, ] 0.1358366 0.1506388 0.06179280 + expected$Item18[2, ] 0.1358367 0.1506389 0.06179281 - actual$Item18[3, ] 0.7467681 0.2319368 -0.09187737 + expected$Item18[3, ] 0.7467680 0.2319368 -0.09187740 - actual$Item18[4, ] 1.2792379 0.8224303 0.15034595 + expected$Item18[4, ] 1.2792380 0.8224303 0.15034599 actual$Item19 vs expected$Item19 [,1] [,2] [,3] [,4] [,5] - actual$Item19[1, ] 1.0724722 0.32685544 -0.28026602 -0.1179629 0.06295757 + expected$Item19[1, ] 1.0724564 0.32683925 -0.28025431 -0.1179664 0.06295113 - actual$Item19[2, ] 0.1856137 0.19769252 0.15086127 0.1285420 0.07991023 + expected$Item19[2, ] 0.1856114 0.19769855 0.15085860 0.1285416 0.07991250 - actual$Item19[3, ] 0.7086761 -0.06061478 -0.57594868 -0.3699005 -0.09366360 + expected$Item19[3, ] 0.7086647 -0.06064279 -0.57593174 -0.3699033 -0.09367449 - actual$Item19[4, ] 1.4362683 0.71432566 0.01541665 0.1339747 0.21957875 + expected$Item19[4, ] 1.4362481 0.71432129 0.01542311 0.1339705 0.21957674 actual$Item20 vs expected$Item20 [,1] [,2] [,3] - actual$Item20[1, ] 1.2606952 1.0741939 0.20410418 + expected$Item20[1, ] 1.2606957 1.0741941 0.20410428 - actual$Item20[2, ] 0.1921128 0.1022101 0.03542081 + expected$Item20[2, ] 0.1921129 0.1022101 0.03542079 - actual$Item20[3, ] 0.8841609 0.8738657 0.13468067 + expected$Item20[3, ] 0.8841613 0.8738660 0.13468081 - actual$Item20[4, ] 1.6372294 1.2745221 0.27352769 + expected$Item20[4, ] 1.6372300 1.2745222 0.27352775 ── Failure ('test-difNLR.R:33:3'): difNLR - examples at help page ────────────── Expected `coef(fit1, SE = TRUE, simplify = TRUE)` to equal `fit1_coef3_expected`. Differences: actual vs expected a b aDif bDif c - actual[1, ] 1.1211115 -0.30366673 -0.06452303 0.94969548 0.11055433 + expected[1, ] 1.1211096 -0.30367079 -0.06452658 0.94969519 0.11055254 - actual[2, ] 0.1497721 0.17207953 0.17085184 0.11116776 0.06621472 + expected[2, ] 0.1497720 0.17208068 0.17085083 0.11116778 0.06621531 - actual[3, ] 0.8275635 -0.64093641 -0.39938649 0.73181068 -0.01922413 + expected[3, ] 0.8275618 -0.64094274 -0.39938806 0.73181034 -0.01922709 - actual[4, ] 1.4146595 0.03360294 0.27034043 1.16758029 0.24033280 + expected[4, ] 1.4146573 0.03360115 0.27033489 1.16758004 0.24033216 - actual[5, ] 0.7152887 -0.47525176 0.52708717 0.50307153 0.07629900 + expected[5, ] 0.7152842 -0.47527705 0.52707243 0.50307832 0.07629099 - actual[6, ] 0.1045342 0.29674748 0.18020805 0.15851985 0.08456577 + expected[6, ] 0.1045337 0.29675487 0.18020494 0.15852106 0.08456850 - actual[7, ] 0.5104054 -1.05686614 0.17388588 0.19237834 -0.08944687 + expected[7, ] 0.5104020 -1.05690592 0.17387723 0.19238275 -0.08946022 - actual[8, ] 0.9201720 0.10636262 0.88028846 0.81376473 0.24204487 + expected[8, ] 0.9201664 0.10635181 0.88026764 0.81377389 0.24204220 - actual[9, ] 0.6742923 -1.50475260 0.00000000 0.00000000 0.00000000 + expected[9, ] 0.6742919 -1.50475277 0.00000000 0.00000000 0.00000000 - actual[10, ] 0.1649078 1.21372146 0.00000000 0.00000000 0.41291099 + expected[10, ] 0.1649079 1.21372318 0.00000000 0.00000000 0.41291135 and 9 more ... actual vs expected a b aDif bDif c actual[42, ] 0.1474411 0.51559730 0.00000000 0.00000000 0.20333876 actual[43, ] 0.5740457 -1.96072858 0.00000000 0.00000000 -0.38554991 actual[44, ] 1.1520042 0.06037568 0.00000000 0.00000000 0.41152338 - actual[45, ] 0.8977815 0.38215019 0.00000000 0.00000000 0.20920247 + expected[45, ] 0.8977892 0.38216524 0.00000000 0.00000000 0.20920692 - actual[46, ] 0.1742637 0.27857489 0.00000000 0.00000000 0.08535612 + expected[46, ] 0.1742646 0.27856840 0.00000000 0.00000000 0.08535422 - actual[47, ] 0.5562310 -0.16384655 0.00000000 0.00000000 0.04190755 + expected[47, ] 0.5562369 -0.16381880 0.00000000 0.00000000 0.04191572 - actual[48, ] 1.2393320 0.92814694 0.00000000 0.00000000 0.37649740 + expected[48, ] 1.2393415 0.92814928 0.00000000 0.00000000 0.37649812 actual[49, ] 0.8157721 -0.77457288 0.00000000 0.00000000 0.29437966 actual[50, ] 0.1918456 0.69590763 0.00000000 0.00000000 0.18393642 actual[51, ] 0.4397616 -2.13852678 0.00000000 0.00000000 -0.06612910 actual vs expected a b aDif bDif c actual[54, ] 0.1468574 0.22426067 0.00000000 0.00000000 0.07984885 actual[55, ] 0.5921011 0.09897528 0.00000000 0.00000000 -0.08451342 actual[56, ] 1.1677714 0.97806096 0.00000000 0.00000000 0.22848830 - actual[57, ] 0.5969715 -0.16248257 0.00000000 0.00000000 0.00000000 + expected[57, ] 0.5969710 -0.16248256 0.00000000 0.00000000 0.00000000 - actual[58, ] 0.1553578 0.82938381 0.00000000 0.00000000 0.23001339 + expected[58, ] 0.1553578 0.82938536 0.00000000 0.00000000 0.23001366 - actual[59, ] 0.2924758 -1.78804497 0.00000000 0.00000000 -0.45081796 + expected[59, ] 0.2924753 -1.78804800 0.00000000 0.00000000 -0.45081850 - actual[60, ] 0.9014671 1.46307983 0.00000000 0.00000000 0.45081796 + expected[60, ] 0.9014667 1.46308288 0.00000000 0.00000000 0.45081850 actual[61, ] 1.0814052 0.46620935 0.00000000 0.00000000 0.07682816 actual[62, ] 0.1451789 0.14367819 0.00000000 0.00000000 0.05844552 actual[63, ] 0.7968598 0.18460528 0.00000000 0.00000000 -0.03772296 and 17 more ... actual$a | expected$a [1] 1.121111531 - 1.121109559 [1] [2] 0.149772135 - 0.149772005 [2] [3] 0.827563540 - 0.827561822 [3] [4] 1.414659522 - 1.414657295 [4] [5] 0.715288666 - 0.715284188 [5] [6] 0.104534211 - 0.104533661 [6] [7] 0.510405377 - 0.510401978 [7] [8] 0.920171955 - 0.920166398 [8] [9] 0.674292260 - 0.674291851 [9] [10] 0.164907840 - 0.164907873 [10] ... ... ... and 9 more ... actual$a | expected$a [42] 0.147441088 | 0.147441088 [42] [43] 0.574045716 | 0.574045716 [43] [44] 1.152004161 | 1.152004161 [44] [45] 0.897781523 - 0.897789207 [45] [46] 0.174263656 - 0.174264595 [46] [47] 0.556231033 - 0.556236876 [47] [48] 1.239332013 - 1.239341538 [48] [49] 0.815772114 | 0.815772114 [49] [50] 0.191845634 | 0.191845634 [50] [51] 0.439761580 | 0.439761580 [51] actual$a | expected$a [54] 0.146857350 | 0.146857350 [54] [55] 0.592101119 | 0.592101119 [55] [56] 1.167771354 | 1.167771354 [56] [57] 0.596971484 - 0.596971007 [57] [58] 0.155357775 - 0.155357800 [58] [59] 0.292475840 - 0.292475314 [59] [60] 0.901467127 - 0.901466700 [60] [61] 1.081405240 | 1.081405240 [61] [62] 0.145178903 | 0.145178903 [62] [63] 0.796859818 | 0.796859818 [63] ... ... ... and 17 more ... actual$b | expected$b [1] -0.303666734 - -0.303670794 [1] [2] 0.172079525 - 0.172080683 [2] [3] -0.640936407 - -0.640942736 [3] [4] 0.033602938 - 0.033601147 [4] [5] -0.475251764 - -0.475277052 [5] [6] 0.296747484 - 0.296754874 [6] [7] -1.056866145 - -1.056905917 [7] [8] 0.106362617 - 0.106351814 [8] [9] -1.504752602 - -1.504752772 [9] [10] 1.213721460 - 1.213723182 [10] ... ... ... and 9 more ... actual$b | expected$b [42] 0.515597298 | 0.515597298 [42] [43] -1.960728585 | -1.960728585 [43] [44] 0.060375684 | 0.060375684 [44] [45] 0.382150194 - 0.382165243 [45] [46] 0.278574885 - 0.278568404 [46] [47] -0.163846548 - -0.163818797 [47] [48] 0.928146936 - 0.928149283 [48] [49] -0.774572883 | -0.774572883 [49] [50] 0.695907633 | 0.695907633 [50] [51] -2.138526780 | -2.138526780 [51] actual$b | expected$b [54] 0.224260672 | 0.224260672 [54] [55] 0.098975280 | 0.098975280 [55] [56] 0.978060960 | 0.978060960 [56] [57] -0.162482568 - -0.162482560 [57] [58] 0.829383811 - 0.829385363 [58] [59] -1.788044967 - -1.788048001 [59] [60] 1.463079831 - 1.463082881 [60] [61] 0.466209347 | 0.466209347 [61] [62] 0.143678186 | 0.143678186 [62] [63] 0.184605276 | 0.184605276 [63] ... ... ... and 17 more ... actual$aDif | expected$aDif [1] -0.0645230 - -0.0645266 [1] [2] 0.1708518 - 0.1708508 [2] [3] -0.3993865 - -0.3993881 [3] [4] 0.2703404 - 0.2703349 [4] [5] 0.5270872 - 0.5270724 [5] [6] 0.1802081 - 0.1802049 [6] [7] 0.1738859 - 0.1738772 [7] [8] 0.8802885 - 0.8802676 [8] [9] 0.0000000 | 0.0000000 [9] [10] 0.0000000 | 0.0000000 [10] ... ... ... and 1 more ... actual$aDif | expected$aDif [70] 0.0000000 | 0.0000000 [70] [71] 0.0000000 | 0.0000000 [71] [72] 0.0000000 | 0.0000000 [72] [73] -0.2802660 - -0.2802543 [73] [74] 0.1508613 - 0.1508586 [74] [75] -0.5759487 - -0.5759317 [75] [76] 0.0154166 - 0.0154231 [76] [77] 0.0000000 | 0.0000000 [77] [78] 0.0000000 | 0.0000000 [78] [79] 0.0000000 | 0.0000000 [79] actual$bDif | expected$bDif [1] 0.949695484 - 0.949695187 [1] [2] 0.111167761 - 0.111167782 [2] [3] 0.731810676 - 0.731810338 [3] [4] 1.167580291 - 1.167580036 [4] [5] 0.503071532 - 0.503078321 [5] [6] 0.158519849 - 0.158521059 [6] [7] 0.192378336 - 0.192382754 [7] [8] 0.813764727 - 0.813773887 [8] [9] 0.000000000 | 0.000000000 [9] [10] 0.000000000 | 0.000000000 [10] ... ... ... and 1 more ... actual$bDif | expected$bDif [70] 0.000000000 | 0.000000000 [70] [71] 0.000000000 | 0.000000000 [71] [72] 0.000000000 | 0.000000000 [72] [73] -0.117962872 - -0.117966417 [73] [74] 0.128541963 - 0.128541597 [74] [75] -0.369900490 - -0.369903317 [75] [76] 0.133974747 - 0.133970483 [76] [77] 0.000000000 | 0.000000000 [77] [78] 0.000000000 | 0.000000000 [78] [79] 0.000000000 | 0.000000000 [79] actual$c | expected$c [1] 0.110554332 - 0.110552536 [1] [2] 0.066214719 - 0.066215310 [2] [3] -0.019224132 - -0.019227087 [3] [4] 0.240332795 - 0.240332159 [4] [5] 0.076299000 - 0.076290990 [5] [6] 0.084565772 - 0.084568498 [6] [7] -0.089446867 - -0.089460221 [7] [8] 0.242044867 - 0.242042201 [8] [9] 0.000000000 | 0.000000000 [9] [10] 0.412910989 - 0.412911348 [10] ... ... ... and 9 more ... actual$c | expected$c [42] 0.203338760 | 0.203338760 [42] [43] -0.385549911 | -0.385549911 [43] [44] 0.411523383 | 0.411523383 [44] [45] 0.209202473 - 0.209206920 [45] [46] 0.085356121 - 0.085354220 [46] [47] 0.041907550 - 0.041915723 [47] [48] 0.376497397 - 0.376498117 [48] [49] 0.294379661 | 0.294379661 [49] [50] 0.183936421 | 0.183936421 [50] [51] -0.066129098 | -0.066129098 [51] actual$c | expected$c [55] -0.084513421 | -0.084513421 [55] [56] 0.228488303 | 0.228488303 [56] [57] 0.000000000 | 0.000000000 [57] [58] 0.230013390 - 0.230013664 [58] [59] -0.450817961 - -0.450818497 [59] [60] 0.450817961 - 0.450818497 [60] [61] 0.076828160 | 0.076828160 [61] [62] 0.058445522 | 0.058445522 [62] [63] -0.037722959 | -0.037722959 [63] [64] 0.191379279 | 0.191379279 [64] ... ... ... and 16 more ... ── Failure ('test-difNLR.R:67:3'): difNLR - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$Sval | expected$Sval [1] 41.91450786 - 41.91446590 [1] [2] 14.73983537 - 14.73970661 [2] [3] 0.69033084 | 0.69033084 [3] [4] 2.86221667 - 2.86221791 [4] [5] 1.08908551 - 1.08904070 [5] [6] 0.15466706 | 0.15466706 [6] [7] 5.68978837 | 5.68978837 [7] [8] 2.41271466 | 2.41271466 [8] actual$Sval | expected$Sval [9] 0.42188747 | 0.42188747 [9] [10] 1.16991275 | 1.16991275 [10] [11] 1.20219021 | 1.20219021 [11] [12] 1.01431287 - 1.01430708 [12] [13] 3.85492063 - 3.85490451 [13] [14] 1.41489478 - 1.41492671 [14] [15] 1.10837744 - 1.10837665 [15] [16] 0.13937675 - 0.13939486 [16] [17] 2.56488158 | 2.56488158 [17] [18] 1.94129713 | 1.94129713 [18] ... ... ... and 2 more ... `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.1648098 0.8741076 0.0000000 0.0000000 0.0312352 `expected$nlrPAR[[19]]`: -0.1647959 0.8741101 0.0000000 0.0000000 0.0312302 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020992 0.16690432 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25443618 0.13941454 0.00000000 0.00000000 0.09722468 `expected$nlrSE[[19]]`: 0.25443417 0.13941390 0.00000000 0.00000000 0.09722515 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020992 0.16690432 0.11558346 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226378 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576915 0.82846614 0.07274197 0.11401518 0.20008979 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951090 0.22840255 0.16653679 0.17824102 0.18525771 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389652 - 0.317389648 [1] [2] 0.180970627 - 0.180970873 [2] [3] 0.126195456 - 0.126195564 [3] [4] 0.161661699 - 0.161661852 [4] [5] 0.088776085 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267653 -0.04957514 -0.009803337 0.005316360 -0.058633985 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575139 0.05216772 -0.013482942 -0.025705004 0.035057791 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803337 -0.01348294 0.027734503 0.018707553 -0.003097784 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316360 -0.02570500 0.018707553 0.031769863 -0.009151661 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633985 0.03505779 -0.003097784 -0.009151661 0.034320418 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736191 -0.045897301 -0.0097905630 -0.003091693 -0.0270592881 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897301 0.032750368 0.0029241532 -0.009602347 0.0127859117 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790563 0.002924153 0.0159252931 -0.003765778 0.0005707833 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091693 -0.009602347 -0.0037657784 0.026134505 0.0014824507 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059288 0.012785912 0.0005707833 0.001482451 0.0078811934 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 actual$pval | expected$pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629920 - 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043834 - 0.239043686 [4] [5] 0.580106974 - 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] [8] 0.299285495 | 0.299285495 [8] actual$pval | expected$pval [9] 0.809819629 | 0.809819629 [9] [10] 0.557130166 | 0.557130166 [10] [11] 0.548210958 | 0.548210958 [11] [12] 0.602205558 - 0.602207300 [12] [13] 0.145517298 - 0.145518471 [13] [14] 0.492900777 - 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932684424 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] ... ... ... and 2 more ... actual$adj.pval | expected$adj.pval [1] 0.000000001 | 0.000000001 [1] [2] 0.000629920 - 0.000629961 [2] [3] 0.708103210 | 0.708103210 [3] [4] 0.239043834 - 0.239043686 [4] [5] 0.580106974 - 0.580119972 [5] [6] 0.925581095 | 0.925581095 [6] [7] 0.058140418 | 0.058140418 [7] [8] 0.299285495 | 0.299285495 [8] actual$adj.pval | expected$adj.pval [9] 0.809819629 | 0.809819629 [9] [10] 0.557130166 | 0.557130166 [10] [11] 0.548210958 | 0.548210958 [11] [12] 0.602205558 - 0.602207300 [12] [13] 0.145517298 - 0.145518471 [13] [14] 0.492900777 - 0.492892908 [14] [15] 0.574538182 - 0.574538409 [15] [16] 0.932684424 - 0.932675979 [16] [17] 0.277359497 | 0.277359497 [17] [18] 0.378837258 | 0.378837258 [18] ... ... ... and 2 more ... ── Failure ('test-difNLR.R:74:3'): difNLR - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$nlrPAR[[19]]`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020992 0.16690432 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$nlrSE[[19]]`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020992 0.16690432 0.11558346 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226378 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576915 0.82846614 0.07274197 0.11401518 0.20008979 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951090 0.22840255 0.16653679 0.17824102 0.18525771 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389652 - 0.317389648 [1] [2] 0.180970627 - 0.180970873 [2] [3] 0.126195456 - 0.126195564 [3] [4] 0.161661699 - 0.161661852 [4] [5] 0.088776085 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267653 -0.04957514 -0.009803337 0.005316360 -0.058633985 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575139 0.05216772 -0.013482942 -0.025705004 0.035057791 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803337 -0.01348294 0.027734503 0.018707553 -0.003097784 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316360 -0.02570500 0.018707553 0.031769863 -0.009151661 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633985 0.03505779 -0.003097784 -0.009151661 0.034320418 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736191 -0.045897301 -0.0097905630 -0.003091693 -0.0270592881 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897301 0.032750368 0.0029241532 -0.009602347 0.0127859117 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790563 0.002924153 0.0159252931 -0.003765778 0.0005707833 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091693 -0.009602347 -0.0037657784 0.026134505 0.0014824507 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059288 0.012785912 0.0005707833 0.001482451 0.0078811934 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 ── Failure ('test-difNLR.R:82:3'): difNLR - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$nlrPAR[[19]]`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.182139912 - 0.182140300 [1] [2] 0.136434971 - 0.136435011 [2] [3] 0.195971574 - 0.195970218 [3] [4] 0.181408684 - 0.181407263 [4] [5] 0.071363228 - 0.071363724 [5] `actual$nlrSE[[2]]`: 0.15013925 0.09804375 0.11505907 0.15356014 0.06380017 `expected$nlrSE[[2]]`: 0.15014054 0.09804337 0.11505747 0.15355780 0.06380204 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.215829728 - 0.215831976 [1] [2] 0.059341213 - 0.059341307 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.141829810 - 0.141831397 [5] `actual$nlrSE[[4]]`: 0.88126176 0.16560992 0.00000000 0.00000000 0.68092015 `expected$nlrSE[[4]]`: 0.88126070 0.16560973 0.00000000 0.00000000 0.68091933 `actual$nlrSE[[12]]`: 0.32727738 0.16911890 0.00000000 0.00000000 0.08876811 `expected$nlrSE[[12]]`: 0.32727418 0.16911810 0.00000000 0.00000000 0.08876566 `actual$nlrSE[[15]]`: 0.4625678 0.1407642 0.0000000 0.0000000 0.2203973 `expected$nlrSE[[15]]`: 0.4625593 0.1407614 0.0000000 0.0000000 0.2203932 `actual$nlrSE[[17]]`: 0.4632523 0.1874598 0.0000000 0.0000000 0.1342086 `expected$nlrSE[[17]]`: 0.4632644 0.1874638 0.0000000 0.0000000 0.1342142 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.193704607 - 0.193704599 [1] [2] 0.126841365 - 0.126841362 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.052025514 - 0.052025510 [5] `actual$nlrSE[[19]]`: 0.2702559 0.1902969 0.1230730 0.1536804 0.0762552 `expected$nlrSE[[19]]`: 0.2702546 0.1902939 0.1230704 0.1536768 0.0762570 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.304644863 - 0.304644969 [1] [2] 0.200301551 - 0.200301634 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.037217858 - 0.037217841 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.247502478 0.141883446 0.094060520 `expected$seM0$Item1`: 0.247504232 0.141883385 0.094062659 `actual$seM0$Item2`: 0.20122551 0.14005876 0.06774395 `expected$seM0$Item2`: 0.20122455 0.14005847 0.06774292 `actual$seM0$Item3`: 0.215829728 0.059341213 0.141829810 `expected$seM0$Item3`: 0.215831976 0.059341307 0.141831397 `actual$seM0$Item4`: 0.88126176 0.16560992 0.68092015 `expected$seM0$Item4`: 0.88126070 0.16560973 0.68091933 `actual$seM0$Item12`: 0.32727738 0.16911890 0.08876811 `expected$seM0$Item12`: 0.32727418 0.16911810 0.08876566 `actual$seM0$Item15`: 0.4625678 0.1407642 0.2203973 `expected$seM0$Item15`: 0.4625593 0.1407614 0.2203932 `actual$seM0$Item17`: 0.4632523 0.1874598 0.1342086 `expected$seM0$Item17`: 0.4632644 0.1874638 0.1342142 `actual$seM0$Item18`: 0.193704607 0.126841365 0.052025514 `expected$seM0$Item18`: 0.193704599 0.126841362 0.052025510 `actual$seM0$Item19`: 0.244997 0.127100 0.088943 `expected$seM0$Item19`: 0.245022 0.127114 0.088954 `actual$seM0$Item20`: 0.304644863 0.200301551 0.037217858 `expected$seM0$Item20`: 0.304644969 0.200301634 0.037217841 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.06125748 -0.03115499 -0.022760713 + expected$covM0$Item1[1, ] 0.06125834 -0.03115527 -0.022761408 - actual$covM0$Item1[2, ] -0.03115499 0.02013091 0.012009712 + expected$covM0$Item1[2, ] -0.03115527 0.02013089 0.012010012 - actual$covM0$Item1[3, ] -0.02276071 0.01200971 0.008847381 + expected$covM0$Item1[3, ] -0.02276141 0.01201001 0.008847784 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.04049170 -0.022396013 -0.013017895 + expected$covM0$Item2[1, ] 0.04049132 -0.022395776 -0.013017623 - actual$covM0$Item2[2, ] -0.02239601 0.019616456 0.007736685 + expected$covM0$Item2[2, ] -0.02239578 0.019616376 0.007736518 - actual$covM0$Item2[3, ] -0.01301789 0.007736685 0.004589242 + expected$covM0$Item2[3, ] -0.01301762 0.007736518 0.004589103 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.046582471 -0.003611274 -0.029569491 + expected$covM0$Item3[1, ] 0.046583442 -0.003611420 -0.029570154 - actual$covM0$Item3[2, ] -0.003611274 0.003521380 0.003202409 + expected$covM0$Item3[2, ] -0.003611420 0.003521391 0.003202505 - actual$covM0$Item3[3, ] -0.029569491 0.003202409 0.020115695 + expected$covM0$Item3[3, ] -0.029570154 0.003202505 0.020116145 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7766223 -0.13391789 -0.5986901 + expected$covM0$Item4[1, ] 0.7766204 -0.13391755 -0.5986886 - actual$covM0$Item4[2, ] -0.1339179 0.02742665 0.1046947 + expected$covM0$Item4[2, ] -0.1339175 0.02742658 0.1046944 - actual$covM0$Item4[3, ] -0.5986901 0.10469471 0.4636523 + expected$covM0$Item4[3, ] -0.5986886 0.10469445 0.4636511 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.10711048 -0.05020243 -0.028452685 + expected$covM0$Item12[1, ] 0.10710839 -0.05020158 -0.028451594 - actual$covM0$Item12[2, ] -0.05020243 0.02860120 0.013479957 + expected$covM0$Item12[2, ] -0.05020158 0.02860093 0.013479471 - actual$covM0$Item12[3, ] -0.02845268 0.01347996 0.007879777 + expected$covM0$Item12[3, ] -0.02845159 0.01347947 0.007879342 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.21396894 -0.06122923 -0.10144079 + expected$covM0$Item15[1, ] 0.21396106 -0.06122675 -0.10143700 - actual$covM0$Item15[2, ] -0.06122923 0.01981455 0.02930832 + expected$covM0$Item15[2, ] -0.06122675 0.01981377 0.02930712 - actual$covM0$Item15[3, ] -0.10144079 0.02930832 0.04857497 + expected$covM0$Item15[3, ] -0.10143700 0.02930712 0.04857315 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.21460270 -0.08275234 -0.06169009 + expected$covM0$Item17[1, ] 0.21461388 -0.08275649 -0.06169431 - actual$covM0$Item17[2, ] -0.08275234 0.03514116 0.02389419 + expected$covM0$Item17[2, ] -0.08275649 0.03514266 0.02389578 - actual$covM0$Item17[3, ] -0.06169009 0.02389419 0.01801195 + expected$covM0$Item17[3, ] -0.06169431 0.02389578 0.01801345 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.037521475 -0.021302394 -0.009676867 + expected$covM0$Item18[1, ] 0.037521472 -0.021302393 -0.009676866 - actual$covM0$Item18[2, ] -0.021302394 0.016088732 0.005718583 + expected$covM0$Item18[2, ] -0.021302393 0.016088731 0.005718582 - actual$covM0$Item18[3, ] -0.009676867 0.005718583 0.002706654 + expected$covM0$Item18[3, ] -0.009676866 0.005718582 0.002706654 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06002353 -0.02765727 -0.02132544 + expected$covM0$Item19[1, ] 0.06003589 -0.02766398 -0.02133031 - actual$covM0$Item19[2, ] -0.02765727 0.01615433 0.01014022 + expected$covM0$Item19[2, ] -0.02766398 0.01615796 0.01014285 - actual$covM0$Item19[3, ] -0.02132544 0.01014022 0.00791085 + expected$covM0$Item19[3, ] -0.02133031 0.01014285 0.00791276 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.09280849 -0.056079244 -0.010573162 + expected$covM0$Item20[1, ] 0.09280856 -0.056079288 -0.010573160 - actual$covM0$Item20[2, ] -0.05607924 0.040120711 0.006246399 + expected$covM0$Item20[2, ] -0.05607929 0.040120745 0.006246398 - actual$covM0$Item20[3, ] -0.01057316 0.006246399 0.001385169 + expected$covM0$Item20[3, ] -0.01057316 0.006246398 0.001385168 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576915 0.82846614 0.07274197 0.11401518 0.20008979 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.182139912 - 0.182140300 [1] [2] 0.136434971 - 0.136435011 [2] [3] 0.195971574 - 0.195970218 [3] [4] 0.181408684 - 0.181407263 [4] [5] 0.071363228 - 0.071363724 [5] `actual$seM1$Item2`: 0.15013925 0.09804375 0.11505907 0.15356014 0.06380017 `expected$seM1$Item2`: 0.15014054 0.09804337 0.11505747 0.15355780 0.06380204 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.902206263 - 0.902244756 [1] [2] 0.183113700 - 0.183120113 [2] [3] 0.127083394 - 0.127083835 [3] [4] 0.127064175 - 0.127064121 [4] [5] 0.682118044 - 0.682147597 [5] `actual$seM1$Item5`: 0.66434119 0.27999838 0.15330582 0.16565851 0.34714388 `expected$seM1$Item5`: 0.66433706 0.27999579 0.15330600 0.16565984 0.34713876 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.384107084 - 0.384107914 [1] [2] 0.218214208 - 0.218215022 [2] [3] 0.136533157 - 0.136533457 [3] [4] 0.154528672 - 0.154529082 [4] [5] 0.100063607 - 0.100063598 [5] `actual$seM1$Item13`: 0.5201022 0.2005938 0.1351184 0.1484363 0.2492924 `expected$seM1$Item13`: 0.5201498 0.2005973 0.1351160 0.1484286 0.2493353 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.254320246 - 0.254323256 [1] [2] 0.139648922 - 0.139649688 [2] [3] 0.110457527 | 0.110457527 [3] [4] 0.119580204 - 0.119579908 [4] [5] 0.073202584 - 0.073203452 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.433862773 - 0.433862784 [1] [2] 0.143168315 - 0.143168318 [2] [3] 0.096666823 | 0.096666823 [3] [4] 0.093469202 | 0.093469202 [4] [5] 0.199418936 - 0.199418941 [5] `actual$seM1$Item16`: 0.21046916 0.13646859 0.12012704 0.13676344 0.05300150 `expected$seM1$Item16`: 0.21046973 0.13646944 0.12012675 0.13676297 0.05300169 `actual$seM1$Item19`: 0.2702559 0.1902969 0.1230730 0.1536804 0.0762552 `expected$seM1$Item19`: 0.2702546 0.1902939 0.1230704 0.1536768 0.0762570 `actual$seM1$Item20`: 0.27755210 0.18472890 0.22329169 0.22687549 0.03714080 `expected$seM1$Item20`: 0.27755499 0.18473132 0.22329334 0.22687700 0.03714060 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.03317495 -0.013650475 0.01750644 -0.017689893 -0.011595567 + expected$covM1$Item1[1, ] 0.03317509 -0.013650567 0.01750634 -0.017689734 -0.011595684 - actual$covM1$Item1[2, ] -0.01365047 0.018614501 -0.01455528 -0.001145234 0.006407021 + expected$covM1$Item1[2, ] -0.01365057 0.018614512 -0.01455523 -0.001145268 0.006407092 - actual$covM1$Item1[3, ] 0.01750644 -0.014555280 0.03840486 -0.019132976 -0.010712079 + expected$covM1$Item1[3, ] 0.01750634 -0.014555230 0.03840433 -0.019132514 -0.010712063 - actual$covM1$Item1[4, ] -0.01768989 -0.001145234 -0.01913298 0.032909111 0.007394174 + expected$covM1$Item1[4, ] -0.01768973 -0.001145268 -0.01913251 0.032908595 0.007394127 - actual$covM1$Item1[5, ] -0.01159557 0.006407021 -0.01071208 0.007394174 0.005092710 + expected$covM1$Item1[5, ] -0.01159568 0.006407092 -0.01071206 0.007394127 0.005092781 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.0225417940 -0.006605298 -0.0003416402 -0.008136222 -0.008376166 + expected$covM1$Item2[1, ] 0.0225421825 -0.006605426 -0.0003416772 -0.008136339 -0.008376524 - actual$covM1$Item2[2, ] -0.0066052977 0.009612576 -0.0021371287 -0.003801043 0.003299347 + expected$covM1$Item2[2, ] -0.0066054264 0.009612502 -0.0021371262 -0.003800878 0.003299483 - actual$covM1$Item2[3, ] -0.0003416402 -0.002137129 0.0132385896 -0.001810276 -0.002417447 + expected$covM1$Item2[3, ] -0.0003416772 -0.002137126 0.0132382212 -0.001810048 -0.002417431 - actual$covM1$Item2[4, ] -0.0081362216 -0.003801043 -0.0018102761 0.023580718 0.003852384 + expected$covM1$Item2[4, ] -0.0081363391 -0.003800878 -0.0018100482 0.023579999 0.003852482 - actual$covM1$Item2[5, ] -0.0083761661 0.003299347 -0.0024174467 0.003852384 0.004070462 + expected$covM1$Item2[5, ] -0.0083765241 0.003299483 -0.0024174308 0.003852482 0.004070701 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.81397614 -0.143611101 -0.036787489 0.012083563 -0.61294329 + expected$covM1$Item4[1, ] 0.81404560 -0.143623886 -0.036790367 0.012083838 -0.61299621 - actual$covM1$Item4[2, ] -0.14361110 0.033530627 0.003260253 -0.010009875 0.11059008 + expected$covM1$Item4[2, ] -0.14362389 0.033532976 0.003260785 -0.010009925 0.11059981 - actual$covM1$Item4[3, ] -0.03678749 0.003260253 0.016150189 0.005334569 0.02287977 + expected$covM1$Item4[3, ] -0.03679037 0.003260785 0.016150301 0.005334550 0.02288197 - actual$covM1$Item4[4, ] 0.01208356 -0.010009875 0.005334569 0.016145305 -0.01091299 + expected$covM1$Item4[4, ] 0.01208384 -0.010009925 0.005334550 0.016145291 -0.01091320 - actual$covM1$Item4[5, ] -0.61294329 0.110590075 0.022879775 -0.010912991 0.46528503 + expected$covM1$Item4[5, ] -0.61299621 0.110599813 0.022881969 -0.010913201 0.46532534 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.44134921 -0.162239804 -0.017596215 -0.024532955 -0.227342661 + expected$covM1$Item5[1, ] 0.44134373 -0.162236950 -0.017596500 -0.024536032 -0.227337853 - actual$covM1$Item5[2, ] -0.16223980 0.078399091 -0.004226919 -0.005838043 0.088596845 + expected$covM1$Item5[2, ] -0.16223695 0.078397643 -0.004226775 -0.005836830 0.088594557 - actual$covM1$Item5[3, ] -0.01759622 -0.004226919 0.023502674 0.008966713 0.002361415 + expected$covM1$Item5[3, ] -0.01759650 -0.004226775 0.023502731 0.008966731 0.002361547 - actual$covM1$Item5[4, ] -0.02453296 -0.005838043 0.008966713 0.027442742 0.010345767 + expected$covM1$Item5[4, ] -0.02453603 -0.005836830 0.008966731 0.027443183 0.010347350 - actual$covM1$Item5[5, ] -0.22734266 0.088596845 0.002361415 0.010345767 0.120508876 + expected$covM1$Item5[5, ] -0.22733785 0.088594557 0.002361547 0.010347350 0.120505317 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.14753825 -0.07557246 -0.025194631 0.023420571 -0.037306291 + expected$covM1$Item12[1, ] 0.14753889 -0.07557295 -0.025194916 0.023420981 -0.037306371 - actual$covM1$Item12[2, ] -0.07557246 0.04761744 0.012142501 -0.020539843 0.019340738 + expected$covM1$Item12[2, ] -0.07557295 0.04761780 0.012142676 -0.020540100 0.019340819 - actual$covM1$Item12[3, ] -0.02519463 0.01214250 0.018641303 -0.007031612 0.004478379 + expected$covM1$Item12[3, ] -0.02519492 0.01214268 0.018641385 -0.007031704 0.004478440 - actual$covM1$Item12[4, ] 0.02342057 -0.02053984 -0.007031612 0.023879111 -0.005445911 + expected$covM1$Item12[4, ] 0.02342098 -0.02054010 -0.007031704 0.023879237 -0.005446005 - actual$covM1$Item12[5, ] -0.03730629 0.01934074 0.004478379 -0.005445911 0.010012725 + expected$covM1$Item12[5, ] -0.03730637 0.01934082 0.004478440 -0.005446005 0.010012724 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.27050628 -0.091180450 -0.025236969 0.019612879 -0.128018981 + expected$covM1$Item13[1, ] 0.27055580 -0.091192037 -0.025239567 0.019610268 -0.128053132 - actual$covM1$Item13[2, ] -0.09118045 0.040237890 0.006163942 -0.015053592 0.044416543 + expected$covM1$Item13[2, ] -0.09119204 0.040239284 0.006164376 -0.015051528 0.044425723 - actual$covM1$Item13[3, ] -0.02523697 0.006163942 0.018256986 0.004253969 0.008895618 + expected$covM1$Item13[3, ] -0.02523957 0.006164376 0.018256327 0.004254185 0.008897746 - actual$covM1$Item13[4, ] 0.01961288 -0.015053592 0.004253969 0.022033331 -0.009927555 + expected$covM1$Item13[4, ] 0.01961027 -0.015051528 0.004254185 0.022031039 -0.009927136 - actual$covM1$Item13[5, ] -0.12801898 0.044416543 0.008895618 -0.009927555 0.062146708 + expected$covM1$Item13[5, ] -0.12805313 0.044425723 0.008897746 -0.009927136 0.062168113 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.0646787874 -0.027876789 -0.0084141448 0.0003847233 -0.0177151590 + expected$covM1$Item14[1, ] 0.0646803184 -0.027877412 -0.0084144370 0.0003848862 -0.0177156022 - actual$covM1$Item14[2, ] -0.0278767889 0.019501821 0.0023291948 -0.0070141728 0.0080229696 + expected$covM1$Item14[2, ] -0.0278774119 0.019502035 0.0023293319 -0.0070142161 0.0080231464 - actual$covM1$Item14[3, ] -0.0084141448 0.002329195 0.0122008652 -0.0029413288 0.0006728889 + expected$covM1$Item14[3, ] -0.0084144370 0.002329332 0.0122008653 -0.0029413255 0.0006729786 - actual$covM1$Item14[4, ] 0.0003847233 -0.007014173 -0.0029413288 0.0142994252 0.0003058189 + expected$covM1$Item14[4, ] 0.0003848862 -0.007014216 -0.0029413255 0.0142993543 0.0003057706 - actual$covM1$Item14[5, ] -0.0177151590 0.008022970 0.0006728889 0.0003058189 0.0053586182 + expected$covM1$Item14[5, ] -0.0177156022 0.008023146 0.0006729786 0.0003057706 0.0053587454 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.188236906 -0.054552810 -0.0142410655 0.0064748047 -0.085510546 + expected$covM1$Item15[1, ] 0.188236915 -0.054552813 -0.0142410660 0.0064748053 -0.085510550 - actual$covM1$Item15[2, ] -0.054552810 0.020497166 0.0028843201 -0.0062397888 0.025359905 + expected$covM1$Item15[2, ] -0.054552813 0.020497167 0.0028843203 -0.0062397890 0.025359906 - actual$covM1$Item15[3, ] -0.014241065 0.002884320 0.0093444747 -0.0003460474 0.004556433 + expected$covM1$Item15[3, ] -0.014241066 0.002884320 0.0093444747 -0.0003460475 0.004556434 - actual$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460474 0.0087364918 -0.003001133 + expected$covM1$Item15[4, ] 0.006474805 -0.006239789 -0.0003460475 0.0087364918 -0.003001133 - actual$covM1$Item15[5, ] -0.085510546 0.025359905 0.0045564334 -0.0030011328 0.039767912 + expected$covM1$Item15[5, ] -0.085510550 0.025359906 0.0045564337 -0.0030011331 0.039767914 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.044297267 -0.021564007 -0.0064128287 -0.001938579 -0.0102238063 + expected$covM1$Item16[1, ] 0.044297508 -0.021564263 -0.0064130417 -0.001938256 -0.0102238778 - actual$covM1$Item16[2, ] -0.021564007 0.018623677 0.0017296164 -0.006306168 0.0053160943 + expected$covM1$Item16[2, ] -0.021564263 0.018623907 0.0017297317 -0.006306356 0.0053161675 - actual$covM1$Item16[3, ] -0.006412829 0.001729616 0.0144305058 -0.005175853 -0.0002275200 + expected$covM1$Item16[3, ] -0.006413042 0.001729732 0.0144304360 -0.005175775 -0.0002274572 - actual$covM1$Item16[4, ] -0.001938579 -0.006306168 -0.0051758529 0.018704238 0.0011715964 + expected$covM1$Item16[4, ] -0.001938256 -0.006306356 -0.0051757752 0.018704111 0.0011715055 - actual$covM1$Item16[5, ] -0.010223806 0.005316094 -0.0002275200 0.001171596 0.0028091592 + expected$covM1$Item16[5, ] -0.010223878 0.005316167 -0.0002274572 0.001171505 0.0028091791 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.07303824 -0.04454662 -0.020952654 0.026135640 -0.019686631 + expected$covM1$Item19[1, ] 0.07303756 -0.04454570 -0.020951625 0.026134468 -0.019687043 - actual$covM1$Item19[2, ] -0.04454662 0.03621290 0.011434469 -0.024504940 0.012515942 + expected$covM1$Item19[2, ] -0.04454570 0.03621178 0.011433663 -0.024503771 0.012516080 - actual$covM1$Item19[3, ] -0.02095265 0.01143447 0.015146958 -0.007664408 0.004279994 + expected$covM1$Item19[3, ] -0.02095162 0.01143366 0.015146315 -0.007663701 0.004279873 - actual$covM1$Item19[4, ] 0.02613564 -0.02450494 -0.007664408 0.023617680 -0.007117013 + expected$covM1$Item19[4, ] 0.02613447 -0.02450377 -0.007663701 0.023616569 -0.007116920 - actual$covM1$Item19[5, ] -0.01968663 0.01251594 0.004279994 -0.007117013 0.005814853 + expected$covM1$Item19[5, ] -0.01968704 0.01251608 0.004279873 -0.007116920 0.005815136 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.077035166 -0.043372652 -0.003913666 -0.003131662 -0.009036865 + expected$covM1$Item20[1, ] 0.077036771 -0.043373810 -0.003914429 -0.003131022 -0.009036906 - actual$covM1$Item20[2, ] -0.043372652 0.034124766 0.003157569 -0.008551209 0.004963584 + expected$covM1$Item20[2, ] -0.043373810 0.034125661 0.003158057 -0.008551688 0.004963632 - actual$covM1$Item20[3, ] -0.003913666 0.003157569 0.049859178 -0.036112465 -0.002149369 + expected$covM1$Item20[3, ] -0.003914429 0.003158057 0.049859915 -0.036113052 -0.002149283 - actual$covM1$Item20[4, ] -0.003131662 -0.008551209 -0.036112465 0.051472487 0.002149445 + expected$covM1$Item20[4, ] -0.003131022 -0.008551688 -0.036113052 0.051473174 0.002149365 - actual$covM1$Item20[5, ] -0.009036865 0.004963584 -0.002149369 0.002149445 0.001379439 + expected$covM1$Item20[5, ] -0.009036906 0.004963632 -0.002149283 0.002149365 0.001379424 ── Failure ('test-difNLR.R:90:3'): difNLR - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: `actual$nlrPAR[[1]]`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$nlrPAR[[1]]`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$nlrPAR[[2]]`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$nlrPAR[[2]]`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 `actual$nlrPAR[[3]]`: 1.01464303 0.67429226 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: 1.01464253 0.67429185 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[12]]`: -0.3430874 0.8977815 0.0000000 0.0000000 0.2092025 `expected$nlrPAR[[12]]`: -0.3431038 0.8977892 0.0000000 0.0000000 0.2092069 actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.096997460 - 0.096997377 [1] [2] 0.596971484 - 0.596971007 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[17]]`: -0.5205572 0.6847759 0.0000000 0.0000000 0.1095428 `expected$nlrPAR[[17]]`: -0.5205427 0.6847714 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.534038530 - -0.534038548 [1] [2] 1.013003017 - 1.013003027 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234290 - 0.029234295 [5] `actual$nlrPAR[[19]]`: -0.1648098 0.8741076 0.0000000 0.0000000 0.0312352 `expected$nlrPAR[[19]]`: -0.1647959 0.8741101 0.0000000 0.0000000 0.0312302 `actual$nlrPAR[[20]]`: -1.35423103 1.26069516 0.00000000 0.00000000 0.20410418 `expected$nlrPAR[[20]]`: -1.35423188 1.26069569 0.00000000 0.00000000 0.20410428 `actual$nlrSE[[1]]`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$nlrSE[[1]]`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$nlrSE[[2]]`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$nlrSE[[2]]`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.585165264 - 0.585165837 [1] [2] 0.164907840 - 0.164907873 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412910989 - 0.412911348 [5] `actual$nlrSE[[12]]`: 0.30699274 0.17426366 0.00000000 0.00000000 0.08535612 `expected$nlrSE[[12]]`: 0.30699142 0.17426460 0.00000000 0.00000000 0.08535422 actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.471458506 - 0.471459032 [1] [2] 0.155357775 - 0.155357800 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013390 - 0.230013664 [5] `actual$nlrSE[[17]]`: 0.39020992 0.16690432 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.39021151 0.16690366 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.211057563 - 0.211057621 [1] [2] 0.135836626 - 0.135836674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792801 - 0.061792815 [5] `actual$nlrSE[[19]]`: 0.25443618 0.13941454 0.00000000 0.00000000 0.09722468 `expected$nlrSE[[19]]`: 0.25443417 0.13941390 0.00000000 0.00000000 0.09722515 actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.272950907 - 0.272950943 [1] [2] 0.192112831 - 0.192112895 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.035420810 - 0.035420787 [5] `actual$parM0$Item1`: -0.0220156 0.9334441 0.0572135 `expected$parM0$Item1`: -0.0220022 0.9334369 0.0572082 `actual$parM0$Item2`: -0.0305782 1.0642756 0.1509943 `expected$parM0$Item2`: -0.0305873 1.0642809 0.1509973 `actual$parM0$Item3`: 1.01464303 0.67429226 0.00000000 `expected$parM0$Item3`: 1.01464253 0.67429185 0.00000000 `actual$parM0$Item12`: -0.3430874 0.8977815 0.2092025 `expected$parM0$Item12`: -0.3431038 0.8977892 0.2092069 `actual$parM0$Item15`: 0.096997460 0.596971484 0.000000000 `expected$parM0$Item15`: 0.096997377 0.596971007 0.000000000 `actual$parM0$Item17`: -0.5205572 0.6847759 0.1095428 `expected$parM0$Item17`: -0.5205427 0.6847714 0.1095386 `actual$parM0$Item18`: -0.534038530 1.013003017 0.029234290 `expected$parM0$Item18`: -0.534038548 1.013003027 0.029234295 `actual$parM0$Item19`: -0.1648098 0.8741076 0.0312352 `expected$parM0$Item19`: -0.1647959 0.8741101 0.0312302 `actual$parM0$Item20`: -1.35423103 1.26069516 0.20410418 `expected$parM0$Item20`: -1.35423188 1.26069569 0.20410428 `actual$seM0$Item1`: 0.24195543 0.14297205 0.09628537 `expected$seM0$Item1`: 0.24195690 0.14297133 0.09628734 `actual$seM0$Item2`: 0.22773578 0.15922591 0.07846201 `expected$seM0$Item2`: 0.22773512 0.15922642 0.07846098 `actual$seM0$Item3`: 0.585165264 0.164907840 0.412910989 `expected$seM0$Item3`: 0.585165837 0.164907873 0.412911348 `actual$seM0$Item12`: 0.30699274 0.17426366 0.08535612 `expected$seM0$Item12`: 0.30699142 0.17426460 0.08535422 `actual$seM0$Item15`: 0.471458506 0.155357775 0.230013390 `expected$seM0$Item15`: 0.471459032 0.155357800 0.230013664 `actual$seM0$Item17`: 0.39020992 0.16690432 0.11558346 `expected$seM0$Item17`: 0.39021151 0.16690366 0.11558571 `actual$seM0$Item18`: 0.211057563 0.135836626 0.061792801 `expected$seM0$Item18`: 0.211057621 0.135836674 0.061792815 `actual$seM0$Item19`: 0.25443618 0.13941454 0.09722468 `expected$seM0$Item19`: 0.25443417 0.13941390 0.09722515 `actual$seM0$Item20`: 0.272950907 0.192112831 0.035420810 `expected$seM0$Item20`: 0.272950943 0.192112895 0.035420787 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.05854243 -0.02986333 -0.022770919 + expected$covM0$Item1[1, ] 0.05854314 -0.02986340 -0.022771539 - actual$covM0$Item1[2, ] -0.02986333 0.02044101 0.012128790 + expected$covM0$Item1[2, ] -0.02986340 0.02044080 0.012128997 - actual$covM0$Item1[3, ] -0.02277092 0.01212879 0.009270872 + expected$covM0$Item1[3, ] -0.02277154 0.01212900 0.009271252 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.05186358 -0.03021741 -0.017273322 + expected$covM0$Item2[1, ] 0.05186329 -0.03021739 -0.017273036 - actual$covM0$Item2[2, ] -0.03021741 0.02535289 0.010718086 + expected$covM0$Item2[2, ] -0.03021739 0.02535305 0.010717964 - actual$covM0$Item2[3, ] -0.01727332 0.01071809 0.006156286 + expected$covM0$Item2[3, ] -0.01727304 0.01071796 0.006156125 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.34241839 -0.08831647 -0.24049088 + expected$covM0$Item3[1, ] 0.34241906 -0.08831658 -0.24049133 - actual$covM0$Item3[2, ] -0.08831647 0.02719460 0.06368617 + expected$covM0$Item3[2, ] -0.08831658 0.02719461 0.06368625 - actual$covM0$Item3[3, ] -0.24049088 0.06368617 0.17049548 + expected$covM0$Item3[3, ] -0.24049133 0.06368625 0.17049578 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.7758218 -0.14922458 -0.6054953 + expected$covM0$Item4[1, ] 0.7758218 -0.14922459 -0.6054953 actual$covM0$Item4[2, ] -0.1492246 0.03334947 0.1187316 actual$covM0$Item4[3, ] -0.6054953 0.11873156 0.4750431 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.09424454 -0.04727162 -0.025621788 + expected$covM0$Item12[1, ] 0.09424373 -0.04727163 -0.025621089 - actual$covM0$Item12[2, ] -0.04727162 0.03036782 0.013121030 + expected$covM0$Item12[2, ] -0.04727163 0.03036815 0.013120783 - actual$covM0$Item12[3, ] -0.02562179 0.01312103 0.007285667 + expected$covM0$Item12[3, ] -0.02562109 0.01312078 0.007285343 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 0.22227312 -0.06841345 -0.10791652 + expected$covM0$Item15[1, ] 0.22227362 -0.06841354 -0.10791677 - actual$covM0$Item15[2, ] -0.06841345 0.02413604 0.03359474 + expected$covM0$Item15[2, ] -0.06841354 0.02413605 0.03359479 - actual$covM0$Item15[3, ] -0.10791652 0.03359474 0.05290616 + expected$covM0$Item15[3, ] -0.10791677 0.03359479 0.05290629 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.15226378 -0.06024696 -0.04461187 + expected$covM0$Item17[1, ] 0.15226502 -0.06024700 -0.04461293 - actual$covM0$Item17[2, ] -0.06024696 0.02785705 0.01773925 + expected$covM0$Item17[2, ] -0.06024700 0.02785683 0.01773954 - actual$covM0$Item17[3, ] -0.04461187 0.01773925 0.01335954 + expected$covM0$Item17[3, ] -0.04461293 0.01773954 0.01336006 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.04454529 -0.025026745 -0.012609288 + expected$covM0$Item18[1, ] 0.04454532 -0.025026763 -0.012609295 - actual$covM0$Item18[2, ] -0.02502674 0.018451589 0.007195374 + expected$covM0$Item18[2, ] -0.02502676 0.018451602 0.007195379 - actual$covM0$Item18[3, ] -0.01260929 0.007195374 0.003818350 + expected$covM0$Item18[3, ] -0.01260929 0.007195379 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06473777 -0.03127492 -0.024261245 + expected$covM0$Item19[1, ] 0.06473675 -0.03127449 -0.024261169 - actual$covM0$Item19[2, ] -0.03127492 0.01943641 0.012054038 + expected$covM0$Item19[2, ] -0.03127449 0.01943624 0.012054040 - actual$covM0$Item19[3, ] -0.02426124 0.01205404 0.009452638 + expected$covM0$Item19[3, ] -0.02426117 0.01205404 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.074502197 -0.046772506 -0.008906919 + expected$covM0$Item20[1, ] 0.074502217 -0.046772528 -0.008906913 - actual$covM0$Item20[2, ] -0.046772506 0.036907340 0.005382871 + expected$covM0$Item20[2, ] -0.046772528 0.036907364 0.005382868 - actual$covM0$Item20[3, ] -0.008906919 0.005382871 0.001254634 + expected$covM0$Item20[3, ] -0.008906913 0.005382868 0.001254632 `actual$parM1$Item1`: 0.3404443 1.1211115 -1.0230308 -0.0645230 0.1105543 `expected$parM1$Item1`: 0.3404482 1.1211096 -1.0230266 -0.0645266 0.1105525 `actual$parM1$Item2`: 0.3399422 0.7152887 -0.3745048 0.5270872 0.0762990 `expected$parM1$Item2`: 0.3399582 0.7152842 -0.3744973 0.5270724 0.0762910 actual$parM1$Item4 | expected$parM1$Item4 [1] 1.273894126 - 1.273893975 [1] [2] 0.580850396 - 0.580850302 [2] [3] 0.231906902 - 0.231906894 [3] [4] 0.111935220 - 0.111935378 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: 1.3298776 1.1043590 -0.0959694 -0.1851392 0.2681100 `expected$parM1$Item5`: 1.3298694 1.1043601 -0.0959679 -0.1851359 0.2681138 `actual$parM1$Item12`: -0.34576915 0.82846614 0.07274197 0.11401518 0.20008979 `expected$parM1$Item12`: -0.34577075 0.82846727 0.07274237 0.11401425 0.20009018 `actual$parM1$Item13`: 0.6936667 0.6395695 0.2315190 0.2655197 0.2182231 `expected$parM1$Item13`: 0.6937383 0.6395492 0.2315149 0.2655127 0.2181881 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.49886398 - -0.49886444 [1] [2] 0.89948196 - 0.89948036 [2] [3] 0.12877368 - 0.12877520 [3] [4] -0.07878906 - -0.07878944 [4] [5] 0.05968190 - 0.05968155 [5] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.50815427 - -0.50815156 [1] [2] 1.10065144 - 1.10065199 [2] [3] 0.02914974 - 0.02915099 [3] [4] -0.05258719 - -0.05259088 [4] [5] 0.07390113 - 0.07390024 [5] `actual$parM1$Item19`: -0.3505434 1.0724722 0.1850574 -0.2802660 0.0629576 `expected$parM1$Item19`: -0.3505208 1.0724564 0.1850513 -0.2802543 0.0629511 actual$parM1$Item20 | expected$parM1$Item20 [1] -1.11658103 - -1.11659297 [1] [2] 1.08664544 - 1.08665359 [2] [3] -0.38501075 - -0.38501115 [3] [4] 0.30736972 - 0.30737001 [4] [5] 0.19635699 - 0.19635850 [5] `actual$seM1$Item1`: 0.16661190 0.14977214 0.16988623 0.17085184 0.06621472 `expected$seM1$Item1`: 0.16661241 0.14977201 0.16988551 0.17085083 0.06621531 `actual$seM1$Item2`: 0.18359352 0.10453421 0.12024315 0.18020805 0.08456577 `expected$seM1$Item2`: 0.18359573 0.10453366 0.12024165 0.18020494 0.08456850 actual$seM1$Item4 | expected$seM1$Item4 [1] 0.897540848 - 0.897540525 [1] [2] 0.181507953 - 0.181507878 [2] [3] 0.137200419 - 0.137200380 [3] [4] 0.123750968 - 0.123750957 [4] [5] 0.683551528 - 0.683551268 [5] `actual$seM1$Item5`: 0.33951090 0.22840255 0.16653679 0.17824102 0.18525771 `expected$seM1$Item5`: 0.33950951 0.22840279 0.16653693 0.17824144 0.18525540 actual$seM1$Item12 | expected$seM1$Item12 [1] 0.317389652 - 0.317389648 [1] [2] 0.180970627 - 0.180970873 [2] [3] 0.126195456 - 0.126195564 [3] [4] 0.161661699 - 0.161661852 [4] [5] 0.088776085 - 0.088775922 [5] `actual$seM1$Item13`: 0.4807431 0.1617373 0.1358275 0.1596089 0.2352398 `expected$seM1$Item13`: 0.4807682 0.1617331 0.1358250 0.1596031 0.2352701 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.284320817 - 0.284321364 [1] [2] 0.170564947 - 0.170564914 [2] [3] 0.110811295 - 0.110811280 [3] [4] 0.135778858 - 0.135778694 [4] [5] 0.083806911 - 0.083807132 [5] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.479733456 - 0.479733216 [1] [2] 0.176905109 - 0.176905028 [2] [3] 0.096186780 - 0.096186799 [3] [4] 0.110288350 - 0.110288371 [4] [5] 0.226535938 - 0.226535796 [5] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.220720923 - 0.220720949 [1] [2] 0.168408271 - 0.168408322 [2] [3] 0.114789474 - 0.114789215 [3] [4] 0.154145988 - 0.154145671 [4] [5] 0.059226499 - 0.059226681 [5] `actual$seM1$Item19`: 0.25866748 0.18561367 0.11253490 0.15086127 0.07991023 `expected$seM1$Item19`: 0.25866822 0.18561142 0.11253321 0.15085860 0.07991250 `actual$seM1$Item20`: 0.24737418 0.18639058 0.21833676 0.23750980 0.03604865 `expected$seM1$Item20`: 0.24737499 0.18639192 0.21833876 0.23751172 0.03604829 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.027759526 -0.012168319 0.010685476 -0.010298360 -0.009621399 + expected$covM1$Item1[1, ] 0.027759694 -0.012168402 0.010685506 -0.010298308 -0.009621529 - actual$covM1$Item1[2, ] -0.012168319 0.022431692 -0.013636051 -0.007352009 0.006457904 + expected$covM1$Item1[2, ] -0.012168402 0.022431654 -0.013636045 -0.007351981 0.006457977 - actual$covM1$Item1[3, ] 0.010685476 -0.013636051 0.028861331 -0.009065261 -0.007897658 + expected$covM1$Item1[3, ] 0.010685506 -0.013636045 0.028861086 -0.009065027 -0.007897697 - actual$covM1$Item1[4, ] -0.010298360 -0.007352009 -0.009065261 0.029190353 0.003779968 + expected$covM1$Item1[4, ] -0.010298308 -0.007351981 -0.009065027 0.029190006 0.003779956 - actual$covM1$Item1[5, ] -0.009621399 0.006457904 -0.007897658 0.003779968 0.004384389 + expected$covM1$Item1[5, ] -0.009621529 0.006457977 -0.007897697 0.003779956 0.004384467 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.033706582 -0.0093420632 0.004337914 -0.0189135499 -0.014292007 + expected$covM1$Item2[1, ] 0.033707391 -0.0093422339 0.004337940 -0.0189135756 -0.014292686 - actual$covM1$Item2[2, ] -0.009342063 0.0109274013 -0.004552780 -0.0006077138 0.005219814 + expected$covM1$Item2[2, ] -0.009342234 0.0109272862 -0.004552753 -0.0006076464 0.005220002 - actual$covM1$Item2[3, ] 0.004337914 -0.0045527803 0.014458416 -0.0051848538 -0.004744527 + expected$covM1$Item2[3, ] 0.004337940 -0.0045527533 0.014458055 -0.0051844452 -0.004744587 - actual$covM1$Item2[4, ] -0.018913550 -0.0006077138 -0.005184854 0.0324749413 0.008918602 + expected$covM1$Item2[4, ] -0.018913576 -0.0006076464 -0.005184445 0.0324738220 0.008918752 - actual$covM1$Item2[5, ] -0.014292007 0.0052198140 -0.004744527 0.0089186021 0.007151370 + expected$covM1$Item2[5, ] -0.014292686 0.0052200017 -0.004744587 0.0089187520 0.007151831 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 0.80557957 -0.142048202 -0.048403572 -0.020625784 -0.61089204 + expected$covM1$Item4[1, ] 0.80557899 -0.142048080 -0.048403512 -0.020625812 -0.61089159 - actual$covM1$Item4[2, ] -0.14204820 0.032945137 0.004242150 -0.003338467 0.11118237 + expected$covM1$Item4[2, ] -0.14204808 0.032945110 0.004242140 -0.003338460 0.11118227 - actual$covM1$Item4[3, ] -0.04840357 0.004242150 0.018823955 0.009679530 0.03176361 + expected$covM1$Item4[3, ] -0.04840351 0.004242140 0.018823944 0.009679526 0.03176357 - actual$covM1$Item4[4, ] -0.02062578 -0.003338467 0.009679530 0.015314302 0.01323934 + expected$covM1$Item4[4, ] -0.02062581 -0.003338460 0.009679526 0.015314299 0.01323936 - actual$covM1$Item4[5, ] -0.61089204 0.111182368 0.031763611 0.013239339 0.46724269 + expected$covM1$Item4[5, ] -0.61089159 0.111182271 0.031763567 0.013239362 0.46724234 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.115267653 -0.04957514 -0.009803337 0.005316360 -0.058633985 + expected$covM1$Item5[1, ] 0.115266708 -0.04957483 -0.009803471 0.005315982 -0.058632972 - actual$covM1$Item5[2, ] -0.049575139 0.05216772 -0.013482942 -0.025705004 0.035057791 + expected$covM1$Item5[2, ] -0.049574825 0.05216783 -0.013482893 -0.025704942 0.035057349 - actual$covM1$Item5[3, ] -0.009803337 -0.01348294 0.027734503 0.018707553 -0.003097784 + expected$covM1$Item5[3, ] -0.009803471 -0.01348289 0.027734548 0.018707558 -0.003097691 - actual$covM1$Item5[4, ] 0.005316360 -0.02570500 0.018707553 0.031769863 -0.009151661 + expected$covM1$Item5[4, ] 0.005315982 -0.02570494 0.018707558 0.031770011 -0.009151373 - actual$covM1$Item5[5, ] -0.058633985 0.03505779 -0.003097784 -0.009151661 0.034320418 + expected$covM1$Item5[5, ] -0.058632972 0.03505735 -0.003097691 -0.009151373 0.034319564 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.100736191 -0.045897301 -0.0097905630 -0.003091693 -0.0270592881 + expected$covM1$Item12[1, ] 0.100736189 -0.045897370 -0.0097906259 -0.003091597 -0.0270592354 - actual$covM1$Item12[2, ] -0.045897301 0.032750368 0.0029241532 -0.009602347 0.0127859117 + expected$covM1$Item12[2, ] -0.045897370 0.032750457 0.0029241919 -0.009602417 0.0127859053 - actual$covM1$Item12[3, ] -0.009790563 0.002924153 0.0159252931 -0.003765778 0.0005707833 + expected$covM1$Item12[3, ] -0.009790626 0.002924192 0.0159253203 -0.003765805 0.0005707958 - actual$covM1$Item12[4, ] -0.003091693 -0.009602347 -0.0037657784 0.026134505 0.0014824507 + expected$covM1$Item12[4, ] -0.003091597 -0.009602417 -0.0037658045 0.026134554 0.0014824246 - actual$covM1$Item12[5, ] -0.027059288 0.012785912 0.0005707833 0.001482451 0.0078811934 + expected$covM1$Item12[5, ] -0.027059235 0.012785905 0.0005707958 0.001482425 0.0078811643 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.23111390 -6.014140e-02 -0.022487600 -3.335464e-02 -0.111305901 + expected$covM1$Item13[1, ] 0.23113807 -6.014363e-02 -0.022488256 -3.335633e-02 -0.111326330 - actual$covM1$Item13[2, ] -0.06014140 2.615896e-02 0.001686423 3.768536e-05 0.031186785 + expected$covM1$Item13[2, ] -0.06014363 2.615761e-02 0.001686364 3.821019e-05 0.031190216 - actual$covM1$Item13[3, ] -0.02248760 1.686423e-03 0.018449121 1.023175e-02 0.007583514 + expected$covM1$Item13[3, ] -0.02248826 1.686364e-03 0.018448419 1.023167e-02 0.007584565 - actual$covM1$Item13[4, ] -0.03335464 3.768536e-05 0.010231751 2.547501e-02 0.015296484 + expected$covM1$Item13[4, ] -0.03335633 3.821019e-05 0.010231666 2.547315e-02 0.015298446 - actual$covM1$Item13[5, ] -0.11130590 3.118679e-02 0.007583514 1.529648e-02 0.055337769 + expected$covM1$Item13[5, ] -0.11132633 3.119022e-02 0.007584565 1.529845e-02 0.055352025 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.08083833 -0.040514737 -0.013034540 0.008752470 -0.022906236 + expected$covM1$Item14[1, ] 0.08083864 -0.040514828 -0.013034633 0.008752540 -0.022906346 - actual$covM1$Item14[2, ] -0.04051474 0.029092401 0.005822788 -0.012841170 0.011720023 + expected$covM1$Item14[2, ] -0.04051483 0.029092390 0.005822828 -0.012841177 0.011720059 - actual$covM1$Item14[3, ] -0.01303454 0.005822788 0.012279143 -0.004368287 0.002115979 + expected$covM1$Item14[3, ] -0.01303463 0.005822828 0.012279140 -0.004368285 0.002116010 - actual$covM1$Item14[4, ] 0.00875247 -0.012841170 -0.004368287 0.018435898 -0.001980955 + expected$covM1$Item14[4, ] 0.00875254 -0.012841177 -0.004368285 0.018435854 -0.001980979 - actual$covM1$Item14[5, ] -0.02290624 0.011720023 0.002115979 -0.001980955 0.007023598 + expected$covM1$Item14[5, ] -0.02290635 0.011720059 0.002116010 -0.001980979 0.007023635 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.23014419 -0.075673598 -0.0164225626 0.0142602206 -0.107645624 + expected$covM1$Item15[1, ] 0.23014396 -0.075673516 -0.0164225838 0.0142602480 -0.107645501 - actual$covM1$Item15[2, ] -0.07567360 0.031295417 0.0039230077 -0.0106777284 0.036138771 + expected$covM1$Item15[2, ] -0.07567352 0.031295389 0.0039230145 -0.0106777372 0.036138728 - actual$covM1$Item15[3, ] -0.01642256 0.003923008 0.0092518967 -0.0003337938 0.005756856 + expected$covM1$Item15[3, ] -0.01642258 0.003923014 0.0092519002 -0.0003337978 0.005756865 - actual$covM1$Item15[4, ] 0.01426022 -0.010677728 -0.0003337938 0.0121635202 -0.006860811 + expected$covM1$Item15[4, ] 0.01426025 -0.010677737 -0.0003337978 0.0121635248 -0.006860823 - actual$covM1$Item15[5, ] -0.10764562 0.036138771 0.0057568560 -0.0068608112 0.051318531 + expected$covM1$Item15[5, ] -0.10764550 0.036138728 0.0057568649 -0.0068608232 0.051318467 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.048717726 -0.029002710 -0.0078734325 0.0048212867 -0.0121377884 + expected$covM1$Item16[1, ] 0.048717737 -0.029002731 -0.0078734692 0.0048213806 -0.0121378308 - actual$covM1$Item16[2, ] -0.029002710 0.028361346 0.0037418066 -0.0134059018 0.0075068379 + expected$covM1$Item16[2, ] -0.029002731 0.028361363 0.0037418255 -0.0134059510 0.0075068701 - actual$covM1$Item16[3, ] -0.007873432 0.003741807 0.0131766232 -0.0057302378 0.0003339311 + expected$covM1$Item16[3, ] -0.007873469 0.003741825 0.0131765640 -0.0057301861 0.0003339493 - actual$covM1$Item16[4, ] 0.004821287 -0.013405902 -0.0057302378 0.0237609856 -0.0005184921 + expected$covM1$Item16[4, ] 0.004821381 -0.013405951 -0.0057301861 0.0237608880 -0.0005185269 - actual$covM1$Item16[5, ] -0.012137788 0.007506838 0.0003339311 -0.0005184921 0.0035077781 + expected$covM1$Item16[5, ] -0.012137831 0.007506870 0.0003339493 -0.0005185269 0.0035077997 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.06690887 -0.039217957 -0.015482503 0.016244793 -0.019693560 + expected$covM1$Item19[1, ] 0.06690925 -0.039217623 -0.015482070 0.016244257 -0.019694212 - actual$covM1$Item19[2, ] -0.03921796 0.034452433 0.007719301 -0.020381366 0.012062309 + expected$covM1$Item19[2, ] -0.03921762 0.034451600 0.007718881 -0.020380593 0.012062550 - actual$covM1$Item19[3, ] -0.01548250 0.007719301 0.012664103 -0.004827161 0.003018540 + expected$covM1$Item19[3, ] -0.01548207 0.007718881 0.012663724 -0.004826759 0.003018535 - actual$covM1$Item19[4, ] 0.01624479 -0.020381366 -0.004827161 0.022759124 -0.004613250 + expected$covM1$Item19[4, ] 0.01624426 -0.020380593 -0.004826759 0.022758318 -0.004613251 - actual$covM1$Item19[5, ] -0.01969356 0.012062309 0.003018540 -0.004613250 0.006385645 + expected$covM1$Item19[5, ] -0.01969421 0.012062550 0.003018535 -0.004613251 0.006386007 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.061193987 -0.036326690 -0.001493301 -0.001258588 -0.007690221 + expected$covM1$Item20[1, ] 0.061194387 -0.036327128 -0.001493660 -0.001258237 -0.007690150 - actual$covM1$Item20[2, ] -0.036326690 0.034741448 0.002572132 -0.013490863 0.004348024 + expected$covM1$Item20[2, ] -0.036327128 0.034741948 0.002572419 -0.013491235 0.004348000 - actual$covM1$Item20[3, ] -0.001493301 0.002572132 0.047670942 -0.036424843 -0.002398092 + expected$covM1$Item20[3, ] -0.001493660 0.002572419 0.047671812 -0.036425633 -0.002398060 - actual$covM1$Item20[4, ] -0.001258588 -0.013490863 -0.036424843 0.056410903 0.002003194 + expected$covM1$Item20[4, ] -0.001258237 -0.013491235 -0.036425633 0.056411818 0.002003163 - actual$covM1$Item20[5, ] -0.007690221 0.004348024 -0.002398092 0.002003194 0.001299505 + expected$covM1$Item20[5, ] -0.007690150 0.004348000 -0.002398060 0.002003163 0.001299479 ── Failure ('test-difNLR.R:98:3'): difNLR - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: `actual$nlrPAR[[1]]`: -0.0950500 0.7675608 -1.3854130 0.1474743 0.2719928 `expected$nlrPAR[[1]]`: -0.0950318 0.7675551 -1.3853765 0.1474499 0.2719871 `actual$nlrPAR[[2]]`: 0.17747560 0.33034907 -0.45089839 0.43126028 0.15035883 `expected$nlrPAR[[2]]`: 0.17747325 0.33034970 -0.45089925 0.43126047 0.15035986 `actual$nlrPAR[[3]]`: 1.0165721 0.6805808 0.0000000 0.0000000 0.0000000 `expected$nlrPAR[[3]]`: 1.0165679 0.6805781 0.0000000 0.0000000 0.0000000 `actual$nlrPAR[[4]]`: 1.39171095 0.65744092 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[4]]`: 1.39171110 0.65744125 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[5]]`: 1.1968005 1.0464023 0.0000000 0.0000000 0.3094093 `expected$nlrPAR[[5]]`: 1.1968719 1.0463985 0.0000000 0.0000000 0.3093908 `actual$nlrPAR[[8]]`: 0.1759288 0.8545371 0.0000000 0.0000000 0.1699841 `expected$nlrPAR[[8]]`: 0.1759261 0.8545392 0.0000000 0.0000000 0.1699853 actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 0.142465671 - 0.142465809 [1] [2] 0.707851165 - 0.707851149 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.099593423 - 0.099593368 [5] `actual$nlrPAR[[12]]`: -0.53039326 1.06600482 0.00000000 0.00000000 0.25277034 `expected$nlrPAR[[12]]`: -0.53039435 1.06600537 0.00000000 0.00000000 0.25277057 actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] 0.517161361 - 0.517161486 [1] [2] 0.880409704 - 0.880409640 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.340100107 - 0.340100060 [5] `actual$nlrPAR[[14]]`: -0.4198810 0.8991332 0.0000000 0.0000000 0.0533574 `expected$nlrPAR[[14]]`: -0.4198840 0.8991370 0.0000000 0.0000000 0.0533584 `actual$nlrPAR[[17]]`: -0.4750199 0.6921094 0.0000000 0.0000000 0.0946668 `expected$nlrPAR[[17]]`: -0.4750056 0.6921186 0.0000000 0.0000000 0.0946586 actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -0.085782740 - -0.085782781 [1] [2] 0.871750163 - 0.871749674 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[20]]`: -1.25973105 1.26729376 0.00000000 0.00000000 0.18778897 `expected$nlrPAR[[20]]`: -1.25973337 1.26729522 0.00000000 0.00000000 0.18778928 `actual$nlrSE[[1]]`: 0.23045570 0.14771016 0.38153463 0.25929707 0.06557576 `expected$nlrSE[[1]]`: 0.23046195 0.14771042 0.38152641 0.25928939 0.06557929 `actual$nlrSE[[2]]`: 0.37031832 0.09615123 0.17527921 0.19942657 0.16393353 `expected$nlrSE[[2]]`: 0.37031778 0.09615136 0.17527950 0.19942676 0.16393288 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.561376367 - 0.561379319 [1] [2] 0.162322332 - 0.162322355 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.396275986 - 0.396277628 [5] actual$nlrSE[[4]] | expected$nlrSE[[4]] [1] 0.786590638 - 0.786589939 [1] [2] 0.176495614 - 0.176495610 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.616507109 - 0.616506584 [5] `actual$nlrSE[[5]]`: 0.3121515 0.1896699 0.0000000 0.0000000 0.1574947 `expected$nlrSE[[5]]`: 0.3121573 0.1896687 0.0000000 0.0000000 0.1575059 `actual$nlrSE[[8]]`: 0.31461130 0.16402558 0.00000000 0.00000000 0.12542081 `expected$nlrSE[[8]]`: 0.31461036 0.16402569 0.00000000 0.00000000 0.12542001 actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.392222670 - 0.392222569 [1] [2] 0.159816994 - 0.159816927 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.172290131 - 0.172290105 [5] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.271563029 - 0.271563040 [1] [2] 0.185524692 - 0.185524778 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.060554386 - 0.060554319 [5] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.380400043 - 0.380400034 [1] [2] 0.196782418 - 0.196782426 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.142054522 - 0.142054552 [5] `actual$nlrSE[[14]]`: 0.24847628 0.14196368 0.00000000 0.00000000 0.07883861 `expected$nlrSE[[14]]`: 0.24847538 0.14196380 0.00000000 0.00000000 0.07883802 `actual$nlrSE[[17]]`: 0.3731276 0.1613588 0.0000000 0.0000000 0.1155512 `expected$nlrSE[[17]]`: 0.3731176 0.1613565 0.0000000 0.0000000 0.1155499 actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.244974713 - 0.244974837 [1] [2] 0.134093612 - 0.134093562 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.101332803 - 0.101332861 [5] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.255781828 - 0.255781919 [1] [2] 0.184592886 - 0.184593058 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.036209298 - 0.036209230 [5] `actual$parM0$Item2`: -0.492241 0.673369 0.294336 `expected$parM0$Item2`: -0.492198 0.673352 0.294326 `actual$parM0$Item3`: 1.0165721 0.6805808 0.0000000 `expected$parM0$Item3`: 1.0165679 0.6805781 0.0000000 `actual$parM0$Item4`: 1.39171095 0.65744092 0.00000000 `expected$parM0$Item4`: 1.39171110 0.65744125 0.00000000 `actual$parM0$Item5`: 1.1968005 1.0464023 0.3094093 `expected$parM0$Item5`: 1.1968719 1.0463985 0.3093908 `actual$parM0$Item8`: 0.1759288 0.8545371 0.1699841 `expected$parM0$Item8`: 0.1759261 0.8545392 0.1699853 `actual$parM0$Item9`: 0.142465671 0.707851165 0.099593423 `expected$parM0$Item9`: 0.142465809 0.707851149 0.099593368 `actual$parM0$Item12`: -0.53039326 1.06600482 0.25277034 `expected$parM0$Item12`: -0.53039435 1.06600537 0.25277057 `actual$parM0$Item13`: 0.517161361 0.880409704 0.340100107 `expected$parM0$Item13`: 0.517161486 0.880409640 0.340100060 `actual$parM0$Item14`: -0.4198810 0.8991332 0.0533574 `expected$parM0$Item14`: -0.4198840 0.8991370 0.0533584 `actual$parM0$Item17`: -0.4750199 0.6921094 0.0946668 `expected$parM0$Item17`: -0.4750056 0.6921186 0.0946586 `actual$parM0$Item19`: -0.085782740 0.871750163 0.000000000 `expected$parM0$Item19`: -0.085782781 0.871749674 0.000000000 `actual$parM0$Item20`: -1.25973105 1.26729376 0.18778897 `expected$parM0$Item20`: -1.25973337 1.26729522 0.18778928 `actual$seM0$Item2`: 0.5038712 0.2120810 0.1208776 `expected$seM0$Item2`: 0.5038819 0.2120789 0.1208859 `actual$seM0$Item3`: 0.561376367 0.162322332 0.396275986 `expected$seM0$Item3`: 0.561379319 0.162322355 0.396277628 `actual$seM0$Item4`: 0.786590638 0.176495614 0.616507109 `expected$seM0$Item4`: 0.786589939 0.176495610 0.616506584 `actual$seM0$Item5`: 0.3121515 0.1896699 0.1574947 `expected$seM0$Item5`: 0.3121573 0.1896687 0.1575059 `actual$seM0$Item8`: 0.31461130 0.16402558 0.12542081 `expected$seM0$Item8`: 0.31461036 0.16402569 0.12542001 `actual$seM0$Item9`: 0.392222670 0.159816994 0.172290131 `expected$seM0$Item9`: 0.392222569 0.159816927 0.172290105 `actual$seM0$Item12`: 0.271563029 0.185524692 0.060554386 `expected$seM0$Item12`: 0.271563040 0.185524778 0.060554319 `actual$seM0$Item13`: 0.380400043 0.196782418 0.142054522 `expected$seM0$Item13`: 0.380400034 0.196782426 0.142054552 `actual$seM0$Item14`: 0.24847628 0.14196368 0.07883861 `expected$seM0$Item14`: 0.24847538 0.14196380 0.07883802 `actual$seM0$Item17`: 0.3731276 0.1613588 0.1155512 `expected$seM0$Item17`: 0.3731176 0.1613565 0.1155499 `actual$seM0$Item19`: 0.244974713 0.134093612 0.101332803 `expected$seM0$Item19`: 0.244974837 0.134093562 0.101332861 `actual$seM0$Item20`: 0.255781828 0.184592886 0.036209298 `expected$seM0$Item20`: 0.255781919 0.184593058 0.036209230 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.25388614 -0.09882608 -0.06027589 + expected$covM0$Item2[1, ] 0.25389693 -0.09882746 -0.06028137 - actual$covM0$Item2[2, ] -0.09882608 0.04497835 0.02358807 + expected$covM0$Item2[2, ] -0.09882746 0.04497747 0.02358955 - actual$covM0$Item2[3, ] -0.06027589 0.02358807 0.01461140 + expected$covM0$Item2[3, ] -0.06028137 0.02358955 0.01461340 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 0.31514343 -0.08306081 -0.22132749 + expected$covM0$Item3[1, ] 0.31514674 -0.08306132 -0.22132959 - actual$covM0$Item3[2, ] -0.08306081 0.02634854 0.06001011 + expected$covM0$Item3[2, ] -0.08306132 0.02634855 0.06001039 - actual$covM0$Item3[3, ] -0.22132749 0.06001011 0.15703466 + expected$covM0$Item3[3, ] -0.22132959 0.06001039 0.15703596 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] - actual$covM0$Item4[1, ] 0.6187248 -0.1277062 -0.4833249 + expected$covM0$Item4[1, ] 0.6187237 -0.1277061 -0.4833241 - actual$covM0$Item4[2, ] -0.1277062 0.0311507 0.1021376 + expected$covM0$Item4[2, ] -0.1277061 0.0311507 0.1021375 - actual$covM0$Item4[3, ] -0.4833249 0.1021376 0.3800810 + expected$covM0$Item4[3, ] -0.4833241 0.1021375 0.3800804 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] - actual$covM0$Item5[1, ] 0.09743854 -0.04563642 -0.04735315 + expected$covM0$Item5[1, ] 0.09744219 -0.04563701 -0.04735744 - actual$covM0$Item5[2, ] -0.04563642 0.03597466 0.02629826 + expected$covM0$Item5[2, ] -0.04563701 0.03597422 0.02630002 - actual$covM0$Item5[3, ] -0.04735315 0.02629826 0.02480457 + expected$covM0$Item5[3, ] -0.04735744 0.02630002 0.02480811 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.09898027 -0.04505290 -0.03880027 + expected$covM0$Item8[1, ] 0.09897968 -0.04505277 -0.03879990 - actual$covM0$Item8[2, ] -0.04505290 0.02690439 0.01843049 + expected$covM0$Item8[2, ] -0.04505277 0.02690443 0.01843037 - actual$covM0$Item8[3, ] -0.03880027 0.01843049 0.01573038 + expected$covM0$Item8[3, ] -0.03879990 0.01843037 0.01573018 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] - actual$covM0$Item9[1, ] 0.15383862 -0.05695754 -0.06697651 + expected$covM0$Item9[1, ] 0.15383854 -0.05695750 -0.06697649 - actual$covM0$Item9[2, ] -0.05695754 0.02554147 0.02534783 + expected$covM0$Item9[2, ] -0.05695750 0.02554145 0.02534782 - actual$covM0$Item9[3, ] -0.06697651 0.02534783 0.02968389 + expected$covM0$Item9[3, ] -0.06697649 0.02534782 0.02968388 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.07374648 -0.043458767 -0.015817356 + expected$covM0$Item12[1, ] 0.07374648 -0.043458788 -0.015817338 - actual$covM0$Item12[2, ] -0.04345877 0.034419411 0.009491804 + expected$covM0$Item12[2, ] -0.04345879 0.034419443 0.009491796 - actual$covM0$Item12[3, ] -0.01581736 0.009491804 0.003666834 + expected$covM0$Item12[3, ] -0.01581734 0.009491796 0.003666825 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] - actual$covM0$Item13[1, ] 0.14470419 -0.06411145 -0.05308457 + expected$covM0$Item13[1, ] 0.14470419 -0.06411146 -0.05308458 - actual$covM0$Item13[2, ] -0.06411145 0.03872332 0.02506125 + expected$covM0$Item13[2, ] -0.06411146 0.03872332 0.02506126 - actual$covM0$Item13[3, ] -0.05308457 0.02506125 0.02017949 + expected$covM0$Item13[3, ] -0.05308458 0.02506126 0.02017950 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] - actual$covM0$Item14[1, ] 0.06174046 -0.031191598 -0.019131446 + expected$covM0$Item14[1, ] 0.06174001 -0.031191489 -0.019131226 - actual$covM0$Item14[2, ] -0.03119160 0.020153687 0.009830179 + expected$covM0$Item14[2, ] -0.03119149 0.020153719 0.009830104 - actual$covM0$Item14[3, ] -0.01913145 0.009830179 0.006215527 + expected$covM0$Item14[3, ] -0.01913123 0.009830104 0.006215433 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.13922421 -0.05547218 -0.04263383 + expected$covM0$Item17[1, ] 0.13921674 -0.05546980 -0.04263220 - actual$covM0$Item17[2, ] -0.05547218 0.02603666 0.01709334 + expected$covM0$Item17[2, ] -0.05546980 0.02603592 0.01709288 - actual$covM0$Item17[3, ] -0.04263383 0.01709334 0.01335208 + expected$covM0$Item17[3, ] -0.04263220 0.01709288 0.01335178 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.06001261 -0.02881973 -0.02435262 + expected$covM0$Item19[1, ] 0.06001267 -0.02881973 -0.02435265 - actual$covM0$Item19[2, ] -0.02881973 0.01798110 0.01207762 + expected$covM0$Item19[2, ] -0.02881973 0.01798108 0.01207762 - actual$covM0$Item19[3, ] -0.02435262 0.01207762 0.01026834 + expected$covM0$Item19[3, ] -0.02435265 0.01207762 0.01026835 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.065424344 -0.041787111 -0.008554947 + expected$covM0$Item20[1, ] 0.065424390 -0.041787167 -0.008554931 - actual$covM0$Item20[2, ] -0.041787111 0.034074533 0.005282492 + expected$covM0$Item20[2, ] -0.041787167 0.034074597 0.005282484 - actual$covM0$Item20[3, ] -0.008554947 0.005282492 0.001311113 + expected$covM0$Item20[3, ] -0.008554931 0.005282484 0.001311108 `actual$parM1$Item1`: -0.0950500 0.7675608 -1.3854130 0.1474743 0.2719928 `expected$parM1$Item1`: -0.0950318 0.7675551 -1.3853765 0.1474499 0.2719871 `actual$parM1$Item2`: 0.17747560 0.33034907 -0.45089839 0.43126028 0.15035883 `expected$parM1$Item2`: 0.17747325 0.33034970 -0.45089925 0.43126047 0.15035986 `actual$parM1$Item3`: 1.01369487 0.67988511 0.00565051 0.00104043 0.00000000 `expected$parM1$Item3`: 1.01369410 0.67988372 0.00565186 0.00104274 0.00000000 `actual$parM1$Item5`: 1.3629079 1.1253497 -0.2136835 -0.1836378 0.2851069 `expected$parM1$Item5`: 1.3627663 1.1254068 -0.2136888 -0.1836148 0.2851816 `actual$parM1$Item10`: 0.17943969 0.70636405 0.02973195 -0.06106847 0.06867068 `expected$parM1$Item10`: 0.17944634 0.70636043 0.02973153 -0.06106686 0.06866758 `actual$parM1$Item12`: -0.4893842 0.9968555 -0.0075253 0.0918231 0.2442094 `expected$parM1$Item12`: -0.4894135 0.9968782 -0.0075184 0.0918095 0.2442153 `actual$parM1$Item13`: 0.6211551 0.6973605 0.1465248 0.2379825 0.2686918 `expected$parM1$Item13`: 0.6211978 0.6973566 0.1465234 0.2379552 0.2686729 actual$parM1$Item14 | expected$parM1$Item14 [1] -0.42472037 - -0.42471865 [1] [2] 0.93061891 - 0.93061854 [2] [3] 0.04522308 - 0.04522363 [3] [4] -0.08015718 - -0.08015824 [4] [5] 0.04811013 - 0.04810951 [5] `actual$parM1$Item17`: -0.5549889 0.7173053 0.1348331 -0.0442820 0.0984422 `expected$parM1$Item17`: -0.5549594 0.7172935 0.1348299 -0.0442795 0.0984338 actual$parM1$Item19 | expected$parM1$Item19 [1] -0.13845157 - -0.13845342 [1] [2] 0.99122468 - 0.99122570 [2] [3] 0.06439740 - 0.06439766 [3] [4] -0.20934629 - -0.20934661 [4] [5] 0.00878979 - 0.00879049 [5] actual$parM1$Item20 | expected$parM1$Item20 [1] -0.976892794 - -0.976893389 [1] [2] 1.117935526 - 1.117935456 [2] [3] -0.419267141 - -0.419267083 [3] [4] 0.218094325 - 0.218094691 [4] [5] 0.175380757 - 0.175380840 [5] `actual$seM1$Item1`: 0.23045570 0.14771016 0.38153463 0.25929707 0.06557576 `expected$seM1$Item1`: 0.23046195 0.14771042 0.38152641 0.25928939 0.06557929 `actual$seM1$Item2`: 0.37031832 0.09615123 0.17527921 0.19942657 0.16393353 `expected$seM1$Item2`: 0.37031778 0.09615136 0.17527950 0.19942676 0.16393288 actual$seM1$Item3 | expected$seM1$Item3 [1] 0.564673557 - 0.564674087 [1] [2] 0.174822180 - 0.174822109 [2] [3] 0.113252781 - 0.113252466 [3] [4] 0.117237609 - 0.117236851 [4] [5] 0.397086911 - 0.397087291 [5] `actual$seM1$Item5`: 0.3155939 0.2275056 0.1714726 0.1809353 0.1689482 `expected$seM1$Item5`: 0.3155618 0.2275156 0.1714786 0.1809508 0.1689023 `actual$seM1$Item10`: 0.42069160 0.18007304 0.10141324 0.12184142 0.19374685 `expected$seM1$Item10`: 0.42069389 0.18007254 0.10141286 0.12184073 0.19374938 `actual$seM1$Item12`: 0.28091062 0.20172956 0.14449914 0.19274043 0.06364553 `expected$seM1$Item12`: 0.28091097 0.20173397 0.14450228 0.19274431 0.06364346 `actual$seM1$Item13`: 0.42678284 0.17186944 0.13572401 0.16560677 0.18780672 `expected$seM1$Item13`: 0.42679914 0.17187031 0.13572219 0.16559988 0.18782254 actual$seM1$Item14 | expected$seM1$Item14 [1] 0.260152155 - 0.260152196 [1] [2] 0.167126117 - 0.167126056 [2] [3] 0.106401000 - 0.106400876 [3] [4] 0.136296724 - 0.136296582 [4] [5] 0.080290438 - 0.080290613 [5] `actual$seM1$Item17`: 0.3921228 0.1878402 0.1182602 0.1336852 0.1127314 `expected$seM1$Item17`: 0.3921263 0.1878383 0.1182578 0.1336826 0.1127361 `actual$seM1$Item19`: 0.24883109 0.16991491 0.09820324 0.13443801 0.09448116 `expected$seM1$Item19`: 0.24883122 0.16991525 0.09820338 0.13443819 0.09448100 actual$seM1$Item20 | expected$seM1$Item20 [1] 0.232092186 - 0.232092242 [1] [2] 0.184527247 - 0.184527265 [2] [3] 0.198007056 - 0.198007134 [3] [4] 0.219756138 - 0.219756197 [4] [5] 0.038219453 - 0.038219442 [5] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.05310983 -0.019746955 0.06058624 -0.034697758 -0.013813809 + expected$covM1$Item1[1, ] 0.05311271 -0.019747970 0.06058773 -0.034698036 -0.013815028 - actual$covM1$Item1[2, ] -0.01974696 0.021818292 -0.03029934 0.002146971 0.006080509 + expected$covM1$Item1[2, ] -0.01974797 0.021818367 -0.03029972 0.002147209 0.006080981 - actual$covM1$Item1[3, ] 0.06058624 -0.030299340 0.14556867 -0.073322931 -0.021579298 + expected$covM1$Item1[3, ] 0.06058773 -0.030299717 0.14556240 -0.073318252 -0.021580128 - actual$covM1$Item1[4, ] -0.03469776 0.002146971 -0.07332293 0.067234968 0.010867901 + expected$covM1$Item1[4, ] -0.03469804 0.002147209 -0.07331825 0.067230989 0.010868161 - actual$covM1$Item1[5, ] -0.01381381 0.006080509 -0.02157930 0.010867901 0.004300180 + expected$covM1$Item1[5, ] -0.01381503 0.006080981 -0.02158013 0.010868161 0.004300643 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.13713566 -0.020291531 0.043707188 -0.056503231 -0.059470292 + expected$covM1$Item2[1, ] 0.13713526 -0.020291533 0.043707184 -0.056503164 -0.059469963 - actual$covM1$Item2[2, ] -0.02029153 0.009245059 -0.008364482 0.002923693 0.009423549 + expected$covM1$Item2[2, ] -0.02029153 0.009245084 -0.008364505 0.002923694 0.009423526 - actual$covM1$Item2[3, ] 0.04370719 -0.008364482 0.030722801 -0.021992146 -0.022251304 + expected$covM1$Item2[3, ] 0.04370718 -0.008364505 0.030722904 -0.021992215 -0.022251254 - actual$covM1$Item2[4, ] -0.05650323 0.002923693 -0.021992146 0.039770956 0.025279457 + expected$covM1$Item2[4, ] -0.05650316 0.002923694 -0.021992215 0.039771032 0.025279367 - actual$covM1$Item2[5, ] -0.05947029 0.009423549 -0.022251304 0.025279457 0.026874202 + expected$covM1$Item2[5, ] -0.05946996 0.009423526 -0.022251254 0.025279367 0.026873988 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item3[1, ] 3.188562e-01 -0.083131940 -0.0057166937 5.287555e-08 -0.2219287758 + expected$covM1$Item3[1, ] 3.188568e-01 -0.083132010 -0.0057166720 -4.264033e-08 -0.2219292047 - actual$covM1$Item3[2, ] -8.313194e-02 0.030562795 -0.0034379108 -7.580351e-03 0.0613538912 + expected$covM1$Item3[2, ] -8.313201e-02 0.030562770 -0.0034378843 -7.580260e-03 0.0613539328 - actual$covM1$Item3[3, ] -5.716694e-03 -0.003437911 0.0128261925 6.078669e-03 -0.0005535250 + expected$covM1$Item3[3, ] -5.716672e-03 -0.003437884 0.0128261212 6.078587e-03 -0.0005535207 - actual$covM1$Item3[4, ] 5.287555e-08 -0.007580351 0.0060786692 1.374466e-02 -0.0022895756 + expected$covM1$Item3[4, ] -4.264033e-08 -0.007580260 0.0060785874 1.374448e-02 -0.0022894820 - actual$covM1$Item3[5, ] -2.219288e-01 0.061353891 -0.0005535250 -2.289576e-03 0.1576780149 + expected$covM1$Item3[5, ] -2.219292e-01 0.061353933 -0.0005535207 -2.289482e-03 0.1576783169 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 0.0995995061 -0.04196947 -0.007222726 0.0009316693 -0.048656575 + expected$covM1$Item5[1, ] 0.0995792181 -0.04196233 -0.007225561 0.0009264523 -0.048637046 - actual$covM1$Item5[2, ] -0.0419694661 0.05175882 -0.017628040 -0.0252830159 0.031391115 + expected$covM1$Item5[2, ] -0.0419623301 0.05176333 -0.017628899 -0.0252849185 0.031383069 - actual$covM1$Item5[3, ] -0.0072227263 -0.01762804 0.029402845 0.0198612973 -0.005534599 + expected$covM1$Item5[3, ] -0.0072255609 -0.01762890 0.029404904 0.0198626337 -0.005532826 - actual$covM1$Item5[4, ] 0.0009316693 -0.02528302 0.019861297 0.0327375986 -0.007317035 + expected$covM1$Item5[4, ] 0.0009264523 -0.02528492 0.019862634 0.0327432078 -0.007313550 - actual$covM1$Item5[5, ] -0.0486565746 0.03139112 -0.005534599 -0.0073170346 0.028543501 + expected$covM1$Item5[5, ] -0.0486370463 0.03138307 -0.005532826 -0.0073135497 0.028527972 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item10[1, ] 0.17698142 -0.0649552020 -0.0094121898 0.0102137929 -0.080307203 + expected$covM1$Item10[1, ] 0.17698335 -0.0649554343 -0.0094120904 0.0102136514 -0.080308713 - actual$covM1$Item10[2, ] -0.06495520 0.0324263001 0.0008082119 -0.0114708046 0.030742310 + expected$covM1$Item10[2, ] -0.06495543 0.0324261206 0.0008081642 -0.0114706413 0.030742651 - actual$covM1$Item10[3, ] -0.00941219 0.0008082119 0.0102846450 0.0008976238 0.001980643 + expected$covM1$Item10[3, ] -0.00941209 0.0008081642 0.0102845680 0.0008976557 0.001980628 - actual$covM1$Item10[4, ] 0.01021379 -0.0114708046 0.0008976238 0.0148453305 -0.005154640 + expected$covM1$Item10[4, ] 0.01021365 -0.0114706413 0.0008976557 0.0148451629 -0.005154617 - actual$covM1$Item10[5, ] -0.08030720 0.0307423099 0.0019806430 -0.0051546397 0.037537840 + expected$covM1$Item10[5, ] -0.08030871 0.0307426511 0.0019806284 -0.0051546169 0.037538822 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.078910776 -0.043597228 -0.0093224730 0.0019829964 -0.0166946182 + expected$covM1$Item12[1, ] 0.078910974 -0.043598321 -0.0093234464 0.0019843210 -0.0166940467 - actual$covM1$Item12[2, ] -0.043597228 0.040694817 0.0032421291 -0.0165622216 0.0096814130 + expected$covM1$Item12[2, ] -0.043598321 0.040696593 0.0032428639 -0.0165636486 0.0096812733 - actual$covM1$Item12[3, ] -0.009322473 0.003242129 0.0208800012 -0.0088561270 -0.0001901599 + expected$covM1$Item12[3, ] -0.009323446 0.003242864 0.0208809101 -0.0088569279 -0.0001900326 - actual$covM1$Item12[4, ] 0.001982996 -0.016562222 -0.0088561270 0.0371488726 0.0004157889 + expected$covM1$Item12[4, ] 0.001984321 -0.016563649 -0.0088569279 0.0371503701 0.0004155639 - actual$covM1$Item12[5, ] -0.016694618 0.009681413 -0.0001901599 0.0004157889 0.0040507530 + expected$covM1$Item12[5, ] -0.016694047 0.009681273 -0.0001900326 0.0004155639 0.0040504903 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.18214360 -0.055147697 -0.014336168 -0.025672847 -0.078334750 + expected$covM1$Item13[1, ] 0.18215751 -0.055151077 -0.014336654 -0.025670903 -0.078344523 - actual$covM1$Item13[2, ] -0.05514770 0.029539105 -0.001065868 -0.002465149 0.026241244 + expected$covM1$Item13[2, ] -0.05515108 0.029539403 -0.001065743 -0.002465563 0.026243937 - actual$covM1$Item13[3, ] -0.01433617 -0.001065868 0.018421006 0.008668532 0.002777005 + expected$covM1$Item13[3, ] -0.01433665 -0.001065743 0.018420513 0.008668443 0.002777432 - actual$covM1$Item13[4, ] -0.02567285 -0.002465149 0.008668532 0.027425602 0.010149386 + expected$covM1$Item13[4, ] -0.02567090 -0.002465563 0.008668443 0.027423321 0.010148929 - actual$covM1$Item13[5, ] -0.07833475 0.026241244 0.002777005 0.010149386 0.035271365 + expected$covM1$Item13[5, ] -0.07834452 0.026243937 0.002777432 0.010148929 0.035277306 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item14[1, ] 0.067679144 -0.035427247 -0.0088073810 0.007413701 -0.0199846505 + expected$covM1$Item14[1, ] 0.067679165 -0.035427246 -0.0088073978 0.007413743 -0.0199846997 - actual$covM1$Item14[2, ] -0.035427247 0.027931139 0.0033840662 -0.012683708 0.0108774012 + expected$covM1$Item14[2, ] -0.035427246 0.027931119 0.0033840700 -0.012683717 0.0108774251 - actual$covM1$Item14[3, ] -0.008807381 0.003384066 0.0113211728 -0.003782342 0.0009940749 + expected$covM1$Item14[3, ] -0.008807398 0.003384070 0.0113211464 -0.003782317 0.0009940865 - actual$covM1$Item14[4, ] 0.007413701 -0.012683708 -0.0037823417 0.018576797 -0.0018409236 + expected$covM1$Item14[4, ] 0.007413743 -0.012683717 -0.0037823172 0.018576758 -0.0018409446 - actual$covM1$Item14[5, ] -0.019984651 0.010877401 0.0009940749 -0.001840924 0.0064465544 + expected$covM1$Item14[5, ] -0.019984700 0.010877425 0.0009940865 -0.001840945 0.0064465825 actual$covM1$Item17 vs expected$covM1$Item17 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item17[1, ] 0.15376031 -0.064320221 -0.020688651 0.013506428 -0.043248308 + expected$covM1$Item17[1, ] 0.15376302 -0.064320252 -0.020688173 0.013506047 -0.043250537 - actual$covM1$Item17[2, ] -0.06432022 0.035283930 0.007932106 -0.013751966 0.018326145 + expected$covM1$Item17[2, ] -0.06432025 0.035283217 0.007931711 -0.013751433 0.018326789 - actual$covM1$Item17[3, ] -0.02068865 0.007932106 0.013985484 -0.004858570 0.004145658 + expected$covM1$Item17[3, ] -0.02068817 0.007931711 0.013984918 -0.004858138 0.004145730 - actual$covM1$Item17[4, ] 0.01350643 -0.013751966 -0.004858570 0.017871743 -0.003394687 + expected$covM1$Item17[4, ] 0.01350605 -0.013751433 -0.004858138 0.017871025 -0.003394744 - actual$covM1$Item17[5, ] -0.04324831 0.018326145 0.004145658 -0.003394687 0.012708366 + expected$covM1$Item17[5, ] -0.04325054 0.018326789 0.004145730 -0.003394744 0.012709418 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.061916911 -0.033995642 -0.009297743 0.011445861 -0.022559556 + expected$covM1$Item19[1, ] 0.061916974 -0.033995739 -0.009297808 0.011445886 -0.022559528 - actual$covM1$Item19[2, ] -0.033995642 0.028871077 0.003012559 -0.015593374 0.013283460 + expected$covM1$Item19[2, ] -0.033995739 0.028871191 0.003012605 -0.015593422 0.013283466 - actual$covM1$Item19[3, ] -0.009297743 0.003012559 0.009643876 -0.001762170 0.001738446 + expected$covM1$Item19[3, ] -0.009297808 0.003012605 0.009643903 -0.001762197 0.001738464 - actual$covM1$Item19[4, ] 0.011445861 -0.015593374 -0.001762170 0.018073579 -0.004360638 + expected$covM1$Item19[4, ] 0.011445886 -0.015593422 -0.001762197 0.018073626 -0.004360635 - actual$covM1$Item19[5, ] -0.022559556 0.013283460 0.001738446 -0.004360638 0.008926690 + expected$covM1$Item19[5, ] -0.022559528 0.013283466 0.001738464 -0.004360635 0.008926660 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.0538667829 -0.0330202578 0.0001421147 -0.0001651625 -0.007745174 + expected$covM1$Item20[1, ] 0.0538668090 -0.0330202716 0.0001421085 -0.0001651634 -0.007745174 - actual$covM1$Item20[2, ] -0.0330202578 0.0340503047 0.0004877046 -0.0140608863 0.004665348 + expected$covM1$Item20[2, ] -0.0330202716 0.0340503117 0.0004877116 -0.0140608873 0.004665347 - actual$covM1$Item20[3, ] 0.0001421147 0.0004877046 0.0392067941 -0.0286260385 -0.002440811 + expected$covM1$Item20[3, ] 0.0001421085 0.0004877116 0.0392068249 -0.0286260662 -0.002440811 - actual$covM1$Item20[4, ] -0.0001651625 -0.0140608863 -0.0286260385 0.0482927601 0.001593365 + expected$covM1$Item20[4, ] -0.0001651634 -0.0140608873 -0.0286260662 0.0482927862 0.001593366 - actual$covM1$Item20[5, ] -0.0077451743 0.0046653479 -0.0024408112 0.0015933655 0.001460727 + expected$covM1$Item20[5, ] -0.0077451736 0.0046653468 -0.0024408107 0.0015933663 0.001460726 `actual$conv.fail`: 1 `expected$conv.fail`: 0 ── Failure ('test-difNLR.R:105:3'): difNLR - examples at help page ───────────── Expected `fit7` to equal `fit7_expected`. Differences: `actual$nlrPAR[[1]]`: -3.8478823 0.3609693 -0.7819795 -0.0207749 0.1105542 `expected$nlrPAR[[1]]`: -3.8479141 0.3609711 -0.7820284 -0.0207717 0.1105592 `actual$nlrPAR[[3]]`: -1.50442575 0.21710495 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[3]]`: -1.50442470 0.21710482 0.00000000 0.00000000 0.00000000 actual$nlrPAR[[7]] | expected$nlrPAR[[7]] [1] -2.129766513 - -2.129766291 [1] [2] 0.231768207 - 0.231768187 [2] [3] 0.491043277 - 0.491042882 [3] [4] -0.020552534 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] `actual$nlrPAR[[8]]`: -2.9441516 0.2646362 0.0000000 0.0000000 0.1885606 `expected$nlrPAR[[8]]`: -2.9441293 0.2646350 0.0000000 0.0000000 0.1885574 `actual$nlrPAR[[12]]`: -3.69708888 0.28906317 0.00000000 0.00000000 0.20920290 `expected$nlrPAR[[12]]`: -3.69708539 0.28906297 0.00000000 0.00000000 0.20920259 actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -3.761189285 - -3.761189457 [1] [2] 0.283317057 - 0.283317067 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.071987400 - 0.071987417 [5] `actual$nlrPAR[[15]]`: -2.13321085 0.19220963 0.00000000 0.00000000 0.00000000 `expected$nlrPAR[[15]]`: -2.13320915 0.19220947 0.00000000 0.00000000 0.00000000 `actual$nlrPAR[[17]]`: -3.0787915 0.2204804 0.0000000 0.0000000 0.1095429 `expected$nlrPAR[[17]]`: -3.0787600 0.2204790 0.0000000 0.0000000 0.1095386 actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -4.318486592 - -4.318486900 [1] [2] 0.326161178 - 0.326161197 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.029234264 - 0.029234292 [5] actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -4.357172480 - -4.357172279 [1] [2] 0.345309493 - 0.345309480 [2] [3] 1.232103561 - 1.232103497 [3] [4] -0.090239181 - -0.090239176 [4] [5] 0.062958417 - 0.062958401 [5] `actual$nlrPAR[[20]]`: -6.0640330 0.4059122 0.0000000 0.0000000 0.2041045 `expected$nlrPAR[[20]]`: -6.0639790 0.4059089 0.0000000 0.0000000 0.2041026 `actual$nlrSE[[1]]`: 0.65707772 0.04822281 0.70992666 0.05500992 0.06621477 `expected$nlrSE[[1]]`: 0.65707729 0.04822294 0.70993948 0.05501078 0.06621312 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 1.175518735 - 1.175519268 [1] [2] 0.053096139 - 0.053096140 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.412911046 - 0.412911344 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 1.112354898 - 1.112354869 [1] [2] 0.058267619 - 0.058267613 [2] [3] 0.456091987 - 0.456091925 [3] [4] 0.039381409 - 0.039381404 [4] [5] 0.279594347 - 0.279594362 [5] `actual$nlrSE[[8]]`: 0.95027196 0.05457764 0.00000000 0.00000000 0.13116891 `expected$nlrSE[[8]]`: 0.95027179 0.05457749 0.00000000 0.00000000 0.13117072 actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.933424390 - 0.933424395 [1] [2] 0.056108482 - 0.056108466 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.085355876 - 0.085356029 [5] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.793606682 - 0.793606758 [1] [2] 0.047284327 - 0.047284332 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.079848859 - 0.079848857 [5] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 1.034552523 - 1.034553480 [1] [2] 0.050021205 - 0.050021228 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.230013205 - 0.230013543 [5] `actual$nlrSE[[17]]`: 0.99559379 0.05373895 0.00000000 0.00000000 0.11558346 `expected$nlrSE[[17]]`: 0.99559297 0.05373873 0.00000000 0.00000000 0.11558571 actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.699329966 - 0.699330191 [1] [2] 0.043735932 - 0.043735945 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.061792805 - 0.061792814 [5] actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.916940924 - 0.916940837 [1] [2] 0.059762982 - 0.059762973 [2] [3] 0.605290412 - 0.605290343 [3] [4] 0.048573616 - 0.048573610 [4] [5] 0.079909930 - 0.079909936 [5] `actual$nlrSE[[20]]`: 0.96906217 0.06185550 0.00000000 0.00000000 0.03542075 `expected$nlrSE[[20]]`: 0.96905716 0.06185512 0.00000000 0.00000000 0.03542120 `actual$parM0$Item1`: -3.5092425 0.3005453 0.0572135 `expected$parM0$Item1`: -3.5092032 0.3005430 0.0572084 `actual$parM0$Item2`: -4.0065778 0.3426699 0.1509947 `expected$parM0$Item2`: -4.0066112 0.3426718 0.1509981 `actual$parM0$Item3`: -1.50442575 0.21710495 0.00000000 `expected$parM0$Item3`: -1.50442470 0.21710482 0.00000000 `actual$parM0$Item8`: -2.9441516 0.2646362 0.1885606 `expected$parM0$Item8`: -2.9441293 0.2646350 0.1885574 `actual$parM0$Item12`: -3.69708888 0.28906317 0.20920290 `expected$parM0$Item12`: -3.69708539 0.28906297 0.20920259 `actual$parM0$Item14`: -3.761189285 0.283317057 0.071987400 `expected$parM0$Item14`: -3.761189457 0.283317067 0.071987417 `actual$parM0$Item15`: -2.13321085 0.19220963 0.00000000 `expected$parM0$Item15`: -2.13320915 0.19220947 0.00000000 `actual$parM0$Item17`: -3.0787915 0.2204804 0.1095429 `expected$parM0$Item17`: -3.0787600 0.2204790 0.1095386 `actual$parM0$Item18`: -4.318486592 0.326161178 0.029234264 `expected$parM0$Item18`: -4.318486900 0.326161197 0.029234292 `actual$parM0$Item19`: -3.43036259 0.28144039 0.03123523 `expected$parM0$Item19`: -3.43035802 0.28144119 0.03123022 `actual$parM0$Item20`: -6.0640330 0.4059122 0.2041045 `expected$parM0$Item20`: -6.0639790 0.4059089 0.2041026 `actual$seM0$Item1`: 0.75297066 0.04603342 0.09628544 `expected$seM0$Item1`: 0.75296949 0.04603320 0.09628737 `actual$seM0$Item2`: 0.79465951 0.05126671 0.07846187 `expected$seM0$Item2`: 0.79466143 0.05126694 0.07846072 `actual$seM0$Item3`: 1.175518735 0.053096139 0.412911046 `expected$seM0$Item3`: 1.175519268 0.053096140 0.412911344 `actual$seM0$Item8`: 0.95027196 0.05457764 0.13116891 `expected$seM0$Item8`: 0.95027179 0.05457749 0.13117072 `actual$seM0$Item12`: 0.933424390 0.056108482 0.085355876 `expected$seM0$Item12`: 0.933424395 0.056108466 0.085356029 `actual$seM0$Item14`: 0.793606682 0.047284327 0.079848859 `expected$seM0$Item14`: 0.793606758 0.047284332 0.079848857 `actual$seM0$Item15`: 1.034552523 0.050021205 0.230013205 `expected$seM0$Item15`: 1.034553480 0.050021228 0.230013543 `actual$seM0$Item17`: 0.99559379 0.05373895 0.11558346 `expected$seM0$Item17`: 0.99559297 0.05373873 0.11558571 `actual$seM0$Item18`: 0.699329966 0.043735932 0.061792805 `expected$seM0$Item18`: 0.699330191 0.043735945 0.061792814 `actual$seM0$Item19`: 0.75477497 0.04488796 0.09722470 `expected$seM0$Item19`: 0.75476994 0.04488771 0.09722515 `actual$seM0$Item20`: 0.96906217 0.06185550 0.03542075 `expected$seM0$Item20`: 0.96905716 0.06185512 0.03542120 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] - actual$covM0$Item1[1, ] 0.56696481 -0.034202903 -0.068082674 + expected$covM0$Item1[1, ] 0.56696306 -0.034202683 -0.068084027 - actual$covM0$Item1[2, ] -0.03420290 0.002119076 0.003905171 + expected$covM0$Item1[2, ] -0.03420268 0.002119056 0.003905237 - actual$covM0$Item1[3, ] -0.06808267 0.003905171 0.009270886 + expected$covM0$Item1[3, ] -0.06808403 0.003905237 0.009271257 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.63148373 -0.040225108 -0.057314597 + expected$covM0$Item2[1, ] 0.63148679 -0.040225389 -0.057313824 - actual$covM0$Item2[2, ] -0.04022511 0.002628275 0.003450945 + expected$covM0$Item2[2, ] -0.04022539 0.002628299 0.003450905 - actual$covM0$Item2[3, ] -0.05731460 0.003450945 0.006156265 + expected$covM0$Item2[3, ] -0.05731382 0.003450905 0.006156085 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] - actual$covM0$Item3[1, ] 1.38184430 -0.06114684 -0.47841434 + expected$covM0$Item3[1, ] 1.38184555 -0.06114687 -0.47841491 - actual$covM0$Item3[2, ] -0.06114684 0.00281920 0.02050533 + expected$covM0$Item3[2, ] -0.06114687 0.00281920 0.02050535 - actual$covM0$Item3[3, ] -0.47841434 0.02050533 0.17049553 + expected$covM0$Item3[3, ] -0.47841491 0.02050535 0.17049578 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] - actual$covM0$Item8[1, ] 0.90301679 -0.051123158 -0.119330533 + expected$covM0$Item8[1, ] 0.90301648 -0.051123005 -0.119332236 - actual$covM0$Item8[2, ] -0.05112316 0.002978719 0.006462680 + expected$covM0$Item8[2, ] -0.05112300 0.002978703 0.006462757 - actual$covM0$Item8[3, ] -0.11933053 0.006462680 0.017205282 + expected$covM0$Item8[3, ] -0.11933224 0.006462757 0.017205757 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] - actual$covM0$Item12[1, ] 0.87128109 -0.051748364 -0.074640016 + expected$covM0$Item12[1, ] 0.87128110 -0.051748350 -0.074640161 - actual$covM0$Item12[2, ] -0.05174836 0.003148162 0.004224626 + expected$covM0$Item12[2, ] -0.05174835 0.003148160 0.004224633 - actual$covM0$Item12[3, ] -0.07464002 0.004224626 0.007285626 + expected$covM0$Item12[3, ] -0.07464016 0.004224633 0.007285652 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] - actual$covM0$Item14[1, ] 0.62981157 -0.037094873 -0.059352624 + expected$covM0$Item14[1, ] 0.62981169 -0.037094881 -0.059352628 - actual$covM0$Item14[2, ] -0.03709487 0.002235808 0.003335018 + expected$covM0$Item14[2, ] -0.03709488 0.002235808 0.003335019 - actual$covM0$Item14[3, ] -0.05935262 0.003335018 0.006375840 + expected$covM0$Item14[3, ] -0.05935263 0.003335019 0.006375840 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] - actual$covM0$Item15[1, ] 1.07029892 -0.051059457 -0.23342173 + expected$covM0$Item15[1, ] 1.07030090 -0.051059528 -0.23342230 - actual$covM0$Item15[2, ] -0.05105946 0.002502121 0.01081663 + expected$covM0$Item15[2, ] -0.05105953 0.002502123 0.01081665 - actual$covM0$Item15[3, ] -0.23342173 0.010816632 0.05290607 + expected$covM0$Item15[3, ] -0.23342230 0.010816654 0.05290623 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.99120700 -0.052906001 -0.110883410 + expected$covM0$Item17[1, ] 0.99120536 -0.052905743 -0.110885568 - actual$covM0$Item17[2, ] -0.05290600 0.002887875 0.005711587 + expected$covM0$Item17[2, ] -0.05290574 0.002887852 0.005711681 - actual$covM0$Item17[3, ] -0.11088341 0.005711587 0.013359536 + expected$covM0$Item17[3, ] -0.11088557 0.005711681 0.013360056 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] - actual$covM0$Item18[1, ] 0.48906240 -0.030252560 -0.039490274 + expected$covM0$Item18[1, ] 0.48906272 -0.030252579 -0.039490295 - actual$covM0$Item18[2, ] -0.03025256 0.001912832 0.002316727 + expected$covM0$Item18[2, ] -0.03025258 0.001912833 0.002316728 - actual$covM0$Item18[3, ] -0.03949027 0.002316727 0.003818351 + expected$covM0$Item18[3, ] -0.03949029 0.002316728 0.003818352 actual$covM0$Item19 vs expected$covM0$Item19 [,1] [,2] [,3] - actual$covM0$Item19[1, ] 0.56968525 -0.033448962 -0.069293632 + expected$covM0$Item19[1, ] 0.56967766 -0.033448548 -0.069293485 - actual$covM0$Item19[2, ] -0.03344896 0.002014929 0.003881098 + expected$covM0$Item19[2, ] -0.03344855 0.002014907 0.003881092 - actual$covM0$Item19[3, ] -0.06929363 0.003881098 0.009452643 + expected$covM0$Item19[3, ] -0.06929348 0.003881092 0.009452730 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] - actual$covM0$Item20[1, ] 0.93908149 -0.059453846 -0.029016588 + expected$covM0$Item20[1, ] 0.93907179 -0.059453172 -0.029016892 - actual$covM0$Item20[2, ] -0.05945385 0.003826103 0.001733145 + expected$covM0$Item20[2, ] -0.05945317 0.003826056 0.001733162 - actual$covM0$Item20[3, ] -0.02901659 0.001733145 0.001254629 + expected$covM0$Item20[3, ] -0.02901689 0.001733162 0.001254661 `actual$parM1$Item1`: -3.8478823 0.3609693 -0.7819795 -0.0207749 0.1105542 `expected$parM1$Item1`: -3.8479141 0.3609711 -0.7820284 -0.0207717 0.1105592 actual$parM1$Item4 | expected$parM1$Item4 [1] -0.896087816 - -0.896087752 [1] [2] 0.187019030 - 0.187019025 [2] [3] -0.186268826 - -0.186268972 [3] [4] 0.036040311 - 0.036040325 [4] [5] 0.000000000 | 0.000000000 [5] `actual$parM1$Item5`: -2.7958770 0.3555762 0.5956864 -0.0596101 0.2681124 `expected$parM1$Item5`: -2.7959261 0.3555784 0.5956690 -0.0596084 0.2681243 actual$parM1$Item7 | expected$parM1$Item7 [1] -2.129766513 - -2.129766291 [1] [2] 0.231768207 - 0.231768187 [2] [3] 0.491043277 - 0.491042882 [3] [4] -0.020552534 - -0.020552499 [4] [5] 0.000000000 | 0.000000000 [5] actual$parM1$Item9 | expected$parM1$Item9 [1] -2.290274718 - -2.290273162 [1] [2] 0.217155694 - 0.217155620 [2] [3] 0.277064738 - 0.277064638 [3] [4] -0.021873580 - -0.021873572 [4] [5] 0.053448573 - 0.053448232 [5] actual$parM1$Item12 | expected$parM1$Item12 [1] -3.44086124 - -3.44082093 [1] [2] 0.26674774 - 0.26674559 [2] [3] -0.35320549 - -0.35319883 [3] [4] 0.03671021 - 0.03670959 [4] [5] 0.20009474 - 0.20009046 [5] actual$parM1$Item13 | expected$parM1$Item13 [1] -1.69565769 - -1.69566366 [1] [2] 0.20592371 - 0.20592301 [2] [3] -0.76044139 - -0.76049359 [3] [4] 0.08549168 - 0.08549628 [4] [5] 0.21821907 - 0.21822605 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -4.59738257 - -4.59740927 [1] [2] 0.34193889 - 0.34194054 [2] [3] 0.42648852 - 0.42650006 [3] [4] -0.02331321 - -0.02331403 [4] [5] 0.03383312 - 0.03383493 [5] actual$parM1$Item19 | expected$parM1$Item19 [1] -4.357172480 - -4.357172279 [1] [2] 0.345309493 - 0.345309480 [2] [3] 1.232103561 - 1.232103497 [3] [4] -0.090239181 - -0.090239176 [4] [5] 0.062958417 - 0.062958401 [5] actual$parM1$Item20 | expected$parM1$Item20 [1] -5.176166878 - -5.176160039 [1] [2] 0.349873351 - 0.349872913 [2] [3] -1.533304832 - -1.533305247 [3] [4] 0.098965262 - 0.098965302 [4] [5] 0.196357665 - 0.196357445 [5] `actual$seM1$Item1`: 0.65707772 0.04822281 0.70992666 0.05500992 0.06621477 `expected$seM1$Item1`: 0.65707729 0.04822294 0.70993948 0.05501078 0.06621312 actual$seM1$Item4 | expected$seM1$Item4 [1] 1.525363485 - 1.525363234 [1] [2] 0.058440949 - 0.058440940 [2] [3] 0.400298100 - 0.400298181 [3] [4] 0.039844659 - 0.039844670 [4] [5] 0.683551545 - 0.683551452 [5] `actual$seM1$Item5`: 1.10171294 0.07353995 0.57564057 0.05738923 0.18525611 `expected$seM1$Item5`: 1.10171151 0.07354035 0.57564807 0.05738985 0.18524855 actual$seM1$Item7 | expected$seM1$Item7 [1] 1.112354898 - 1.112354869 [1] [2] 0.058267619 - 0.058267613 [2] [3] 0.456091987 - 0.456091925 [3] [4] 0.039381409 - 0.039381404 [4] [5] 0.279594347 - 0.279594362 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 1.106076330 - 1.106075897 [1] [2] 0.058189935 - 0.058189893 [2] [3] 0.438636888 - 0.438636645 [3] [4] 0.037649369 - 0.037649352 [4] [5] 0.225906353 - 0.225906565 [5] `actual$seM1$Item12`: 0.94908602 0.05826841 0.63939570 0.05205164 0.08877387 `expected$seM1$Item12`: 0.94908357 0.05826806 0.63938713 0.05205103 0.08877580 `actual$seM1$Item13`: 1.02252767 0.05207490 0.54547896 0.05138999 0.23524294 `expected$seM1$Item13`: 1.02251343 0.05207443 0.54549017 0.05139094 0.23523570 `actual$seM1$Item18`: 0.80615498 0.05259308 0.58653492 0.04621512 0.05998347 `expected$seM1$Item18`: 0.80615771 0.05259332 0.58653861 0.04621537 0.05998298 actual$seM1$Item19 | expected$seM1$Item19 [1] 0.916940924 - 0.916940837 [1] [2] 0.059762982 - 0.059762973 [2] [3] 0.605290412 - 0.605290343 [3] [4] 0.048573616 - 0.048573610 [4] [5] 0.079909930 - 0.079909936 [5] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.904156749 - 0.904155836 [1] [2] 0.060013217 - 0.060013149 [2] [3] 1.052211185 - 1.052209813 [3] [4] 0.076472385 - 0.076472294 [4] [5] 0.036048491 - 0.036048545 [5] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.431751129 -0.0308999659 -0.002508681 0.0055275948 -0.033747331 + expected$covM1$Item1[1, ] 0.431750565 -0.0309000315 -0.002509236 0.0055276442 -0.033746223 - actual$covM1$Item1[2, ] -0.030899966 0.0023254395 0.004452941 -0.0007621652 0.002079283 + expected$covM1$Item1[2, ] -0.030900031 0.0023254515 0.004453023 -0.0007621730 0.002079219 - actual$covM1$Item1[3, ] -0.002508681 0.0044529408 0.503995861 -0.0380305101 -0.022019127 + expected$covM1$Item1[3, ] -0.002509236 0.0044530233 0.504014072 -0.0380318167 -0.022019128 - actual$covM1$Item1[4, ] 0.005527595 -0.0007621652 -0.038030510 0.0030260911 0.001217053 + expected$covM1$Item1[4, ] 0.005527644 -0.0007621730 -0.038031817 0.0030261861 0.001217062 - actual$covM1$Item1[5, ] -0.033747331 0.0020792830 -0.022019127 0.0012170529 0.004384396 + expected$covM1$Item1[5, ] -0.033746223 0.0020792188 -0.022019128 0.0012170623 0.004384177 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item4[1, ] 2.326733762 -0.0853641583 -0.033790400 -0.0026252958 -1.026255107 + expected$covM1$Item4[1, ] 2.326732994 -0.0853641286 -0.033790314 -0.0026252989 -1.026254792 - actual$covM1$Item4[2, ] -0.085364158 0.0034153446 0.005381553 -0.0003460904 0.035797900 + expected$covM1$Item4[2, ] -0.085364129 0.0034153434 0.005381551 -0.0003460905 0.035797888 - actual$covM1$Item4[3, ] -0.033790400 0.0053815526 0.160238569 -0.0153043249 -0.017696899 + expected$covM1$Item4[3, ] -0.033790314 0.0053815506 0.160238634 -0.0153043326 -0.017696945 - actual$covM1$Item4[4, ] -0.002625296 -0.0003460904 -0.015304325 0.0015875969 0.004262735 + expected$covM1$Item4[4, ] -0.002625299 -0.0003460905 -0.015304333 0.0015875977 0.004262737 - actual$covM1$Item4[5, ] -1.026255107 0.0357979000 -0.017696899 0.0042627348 0.467242715 + expected$covM1$Item4[5, ] -1.026254792 0.0357978877 -0.017696945 0.0042627373 0.467242587 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item5[1, ] 1.21377140 -0.078712322 -0.33805280 0.032631219 -0.189603633 + expected$covM1$Item5[1, ] 1.21376826 -0.078712681 -0.33805175 0.032631089 -0.189595094 - actual$covM1$Item5[2, ] -0.07871232 0.005408124 0.02657835 -0.002664787 0.011287633 + expected$covM1$Item5[2, ] -0.07871268 0.005408184 0.02657852 -0.002664801 0.011287192 - actual$covM1$Item5[3, ] -0.33805280 0.026578351 0.33136206 -0.032191386 0.031091323 + expected$covM1$Item5[3, ] -0.33805175 0.026578523 0.33137070 -0.032192157 0.031088967 - actual$covM1$Item5[4, ] 0.03263122 -0.002664787 -0.03219139 0.003293523 -0.002946572 + expected$covM1$Item5[4, ] 0.03263109 -0.002664801 -0.03219216 0.003293594 -0.002946348 - actual$covM1$Item5[5, ] -0.18960363 0.011287633 0.03109132 -0.002946572 0.034319825 + expected$covM1$Item5[5, ] -0.18959509 0.011287192 0.03108897 -0.002946348 0.034317025 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 1.23733342 -0.063366071 -0.31469705 0.022910444 -0.300610294 + expected$covM1$Item7[1, ] 1.23733335 -0.063366063 -0.31469690 0.022910432 -0.300610303 - actual$covM1$Item7[2, ] -0.06336607 0.003395115 0.01846588 -0.001426338 0.014629230 + expected$covM1$Item7[2, ] -0.06336606 0.003395115 0.01846587 -0.001426338 0.014629229 - actual$covM1$Item7[3, ] -0.31469705 0.018465880 0.20801990 -0.017413291 0.060680882 + expected$covM1$Item7[3, ] -0.31469690 0.018465872 0.20801984 -0.017413286 0.060680849 - actual$covM1$Item7[4, ] 0.02291044 -0.001426338 -0.01741329 0.001550895 -0.004108839 + expected$covM1$Item7[4, ] 0.02291043 -0.001426338 -0.01741329 0.001550895 -0.004108837 - actual$covM1$Item7[5, ] -0.30061029 0.014629230 0.06068088 -0.004108839 0.078172999 + expected$covM1$Item7[5, ] -0.30061030 0.014629229 0.06068085 -0.004108837 0.078173007 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 1.22340485 -0.062963747 -0.19961493 0.016058281 -0.239970298 + expected$covM1$Item9[1, ] 1.22340389 -0.062963675 -0.19961479 0.016058269 -0.239970432 - actual$covM1$Item9[2, ] -0.06296375 0.003386069 0.01307774 -0.001100515 0.011692984 + expected$covM1$Item9[2, ] -0.06296367 0.003386064 0.01307773 -0.001100514 0.011692985 - actual$covM1$Item9[3, ] -0.19961493 0.013077745 0.19240232 -0.016085562 0.022244323 + expected$covM1$Item9[3, ] -0.19961479 0.013077732 0.19240211 -0.016085545 0.022244344 - actual$covM1$Item9[4, ] 0.01605828 -0.001100515 -0.01608556 0.001417475 -0.001717755 + expected$covM1$Item9[4, ] 0.01605827 -0.001100514 -0.01608555 0.001417474 -0.001717757 - actual$covM1$Item9[5, ] -0.23997030 0.011692984 0.02224432 -0.001717755 0.051033680 + expected$covM1$Item9[5, ] -0.23997043 0.011692985 0.02224434 -0.001717757 0.051033776 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.90076428 -0.0541723862 -0.143188732 0.0105552840 -0.0748240041 + expected$covM1$Item12[1, ] 0.90075962 -0.0541719134 -0.143184299 0.0105549582 -0.0748256475 - actual$covM1$Item12[2, ] -0.05417239 0.0033952070 0.012492213 -0.0009954881 0.0041166553 + expected$covM1$Item12[2, ] -0.05417191 0.0033951667 0.012491880 -0.0009954632 0.0041167332 - actual$covM1$Item12[3, ] -0.14318873 0.0124922129 0.408826856 -0.0326494474 -0.0049672478 + expected$covM1$Item12[3, ] -0.14318430 0.0124918802 0.408815898 -0.0326486196 -0.0049673027 - actual$covM1$Item12[4, ] 0.01055528 -0.0009954881 -0.032649447 0.0027093734 0.0004772933 + expected$covM1$Item12[4, ] 0.01055496 -0.0009954632 -0.032648620 0.0027093098 0.0004772992 - actual$covM1$Item12[5, ] -0.07482400 0.0041166553 -0.004967248 0.0004772933 0.0078807997 + expected$covM1$Item12[5, ] -0.07482565 0.0041167332 -0.004967303 0.0004772992 0.0078811427 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 1.04556283 -5.082888e-02 0.0963525634 -1.078516e-02 -0.227818219 + expected$covM1$Item13[1, ] 1.04553372 -5.082766e-02 0.0963631018 -1.078600e-02 -0.227807504 - actual$covM1$Item13[2, ] -0.05082888 2.711795e-03 0.0004973998 3.927418e-06 0.010041399 + expected$covM1$Item13[2, ] -0.05082766 2.711746e-03 0.0004969787 3.960824e-06 0.010040930 - actual$covM1$Item13[3, ] 0.09635256 4.973998e-04 0.2975472967 -2.734835e-02 -0.049564024 + expected$covM1$Item13[3, ] 0.09636310 4.969787e-04 0.2975595246 -2.734944e-02 -0.049566213 - actual$covM1$Item13[4, ] -0.01078516 3.927418e-06 -0.0273483471 2.640931e-03 0.004925244 + expected$covM1$Item13[4, ] -0.01078600 3.960824e-06 -0.0273494353 2.641029e-03 0.004925402 - actual$covM1$Item13[5, ] -0.22781822 1.004140e-02 -0.0495640240 4.925244e-03 0.055339239 + expected$covM1$Item13[5, ] -0.22780750 1.004093e-02 -0.0495662131 4.925402e-03 0.055335835 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.64988585 -0.041811228 -0.245919859 0.0182461064 -0.0410515109 + expected$covM1$Item18[1, ] 0.64989025 -0.041811557 -0.245923777 0.0182463909 -0.0410512574 - actual$covM1$Item18[2, ] -0.04181123 0.002766033 0.017855836 -0.0013686087 0.0024343758 + expected$covM1$Item18[2, ] -0.04181156 0.002766057 0.017856109 -0.0013686287 0.0024343635 - actual$covM1$Item18[3, ] -0.24591986 0.017855836 0.344023213 -0.0266756963 0.0056453543 + expected$covM1$Item18[3, ] -0.24592378 0.017856109 0.344027543 -0.0266760134 0.0056454190 - actual$covM1$Item18[4, ] 0.01824611 -0.001368609 -0.026675696 0.0021358369 -0.0003689782 + expected$covM1$Item18[4, ] 0.01824639 -0.001368629 -0.026676013 0.0021358604 -0.0003689831 - actual$covM1$Item18[5, ] -0.04105151 0.002434376 0.005645354 -0.0003689782 0.0035980164 + expected$covM1$Item18[5, ] -0.04105126 0.002434364 0.005645419 -0.0003689831 0.0035979576 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.84078066 -0.054068639 -0.38946884 0.029746421 -0.064756588 + expected$covM1$Item19[1, ] 0.84078050 -0.054068625 -0.38946871 0.029746409 -0.064756586 - actual$covM1$Item19[2, ] -0.05406864 0.003571614 0.02700142 -0.002112900 0.003883747 + expected$covM1$Item19[2, ] -0.05406863 0.003571613 0.02700141 -0.002112899 0.003883746 - actual$covM1$Item19[3, ] -0.38946884 0.027001419 0.36637648 -0.028930316 0.020253080 + expected$covM1$Item19[3, ] -0.38946871 0.027001409 0.36637640 -0.028930309 0.020253072 - actual$covM1$Item19[4, ] 0.02974642 -0.002112900 -0.02893032 0.002359396 -0.001485352 + expected$covM1$Item19[4, ] 0.02974641 -0.002112899 -0.02893031 0.002359396 -0.001485351 - actual$covM1$Item19[5, ] -0.06475659 0.003883747 0.02025308 -0.001485352 0.006385597 + expected$covM1$Item19[5, ] -0.06475659 0.003883746 0.02025307 -0.001485351 0.006385598 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.81749943 -0.053485538 -0.194692425 0.0158225743 -0.0239338069 + expected$covM1$Item20[1, ] 0.81749778 -0.053485422 -0.194691156 0.0158224843 -0.0239338304 - actual$covM1$Item20[2, ] -0.05348554 0.003601586 0.017055960 -0.0013985829 0.0013999498 + expected$covM1$Item20[2, ] -0.05348542 0.003601578 0.017055873 -0.0013985767 0.0013999508 - actual$covM1$Item20[3, ] -0.19469242 0.017055960 1.107148378 -0.0795826280 -0.0098816992 + expected$covM1$Item20[3, ] -0.19469116 0.017055873 1.107145491 -0.0795824281 -0.0098817238 - actual$covM1$Item20[4, ] 0.01582257 -0.001398583 -0.079582628 0.0058480257 0.0006449730 + expected$covM1$Item20[4, ] 0.01582248 -0.001398577 -0.079582428 0.0058480117 0.0006449746 - actual$covM1$Item20[5, ] -0.02393381 0.001399950 -0.009881699 0.0006449730 0.0012994937 + expected$covM1$Item20[5, ] -0.02393383 0.001399951 -0.009881724 0.0006449746 0.0012994976 ── Failure ('test-difNLR.R:112:3'): difNLR - examples at help page ───────────── Expected `fit8` to equal `fit8_expected`. Differences: `actual$nlrPAR[[1]]`: 0.32320546 1.13370631 -1.07235984 0.12662854 0.99317346 `expected$nlrPAR[[1]]`: 0.32320690 1.13370385 -1.07235558 0.12662741 0.99317360 `actual$nlrPAR[[2]]`: 0.59796443 1.15693269 -0.51422090 0.11177563 0.92026997 `expected$nlrPAR[[2]]`: 0.59798585 1.15691866 -0.51421910 0.11176757 0.92026964 `actual$nlrPAR[[3]]`: 1.55996421 0.92560058 0.00000000 0.00000000 0.90149113 `expected$nlrPAR[[3]]`: 1.55996917 0.92560294 0.00000000 0.00000000 0.90149049 `actual$nlrPAR[[5]]`: 1.1532557 1.0734014 0.0000000 0.3327421 1.0000000 `expected$nlrPAR[[5]]`: 1.1532483 1.0734028 0.0000000 0.3327464 1.0000000 `actual$nlrPAR[[8]]`: 0.1263851 0.8219324 0.0000000 0.1885746 1.0000000 `expected$nlrPAR[[8]]`: 0.1263959 0.8219280 0.0000000 0.1885706 1.0000000 `actual$nlrPAR[[12]]`: -0.34309056 0.89778299 0.00000000 0.20920333 1.00000000 `expected$nlrPAR[[12]]`: -0.34308747 0.89778156 0.00000000 0.20920250 1.00000000 `actual$nlrPAR[[13]]`: 0.6497828 0.8891646 0.0000000 0.3237768 0.9819687 `expected$nlrPAR[[13]]`: 0.6497499 0.8892116 0.0000000 0.3238028 0.9819624 `actual$nlrPAR[[15]]`: 0.09699751 0.59697184 0.00000000 0.00000000 1.00000000 `expected$nlrPAR[[15]]`: 0.09699738 0.59697101 0.00000000 0.00000000 1.00000000 `actual$nlrPAR[[16]]`: -0.5041715 1.0814102 0.0000000 0.0768309 1.0000000 `expected$nlrPAR[[16]]`: -0.5041613 1.0814053 0.0000000 0.0768282 1.0000000 `actual$nlrPAR[[20]]`: -1.3542432 1.2607027 0.0000000 0.2041056 1.0000000 `expected$nlrPAR[[20]]`: -1.3542322 1.2606959 0.0000000 0.2041043 1.0000000 actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.242974216 - 0.242974302 [1] [2] 0.279351169 - 0.279351063 [2] [3] 0.278274253 - 0.278273693 [3] [4] 0.070776768 - 0.070777180 [4] [5] 0.088410887 - 0.088411114 [5] `actual$nlrSE[[2]]`: 0.25627875 0.33586765 0.19336953 0.10775313 0.07377553 `expected$nlrSE[[2]]`: 0.25627945 0.33586669 0.19336932 0.10775712 0.07377618 actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.504351357 - 0.504350328 [1] [2] 0.468713968 - 0.468713871 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.545812153 - 0.545810883 [4] [5] 0.064089880 - 0.064089490 [5] actual$nlrSE[[4]] | expected$nlrSE[[4]] [1] 1.117462987 - 1.117463066 [1] [2] 0.594054259 - 0.594054238 [2] [3] 0.000000000 | 0.000000000 [3] [4] 1.313857686 - 1.313857732 [4] [5] 0.135104009 - 0.135103997 [5] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 0.317657431 - 0.317657804 [1] [2] 0.409873898 - 0.409875289 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.201998807 - 0.201996745 [4] [5] 0.049232628 - 0.049232666 [5] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] `actual$nlrSE[[8]]`: 0.35415112 0.45033155 0.00000000 0.20777905 0.16990648 `expected$nlrSE[[8]]`: 0.35415243 0.45033194 0.00000000 0.20778332 0.16990731 actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.336039253 - 0.336039415 [1] [2] 0.439196930 - 0.439196958 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.128119288 - 0.128119945 [4] [5] 0.197950429 - 0.197950678 [5] `actual$nlrSE[[13]]`: 0.4051980 0.4984701 0.0000000 0.2399315 0.0976115 `expected$nlrSE[[13]]`: 0.4051788 0.4984669 0.0000000 0.2398930 0.0976032 `actual$nlrSE[[15]]`: 0.47457407 0.55342802 0.00000000 0.45904730 0.38185767 `expected$nlrSE[[15]]`: 0.47457501 0.55342914 0.00000000 0.45904902 0.38185900 actual$nlrSE[[16]] | expected$nlrSE[[16]] [1] 0.226773445 - 0.226773530 [1] [2] 0.317546109 - 0.317545795 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.079085957 - 0.079086991 [4] [5] 0.140447068 - 0.140447487 [5] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.284859533 - 0.284859523 [1] [2] 0.399763396 - 0.399762947 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.044979642 - 0.044980132 [4] [5] 0.187247927 - 0.187248908 [5] `actual$parM0$Item1`: -0.0220175 0.9334448 0.0572142 1.0000000 `expected$parM0$Item1`: -0.0220028 0.9334372 0.0572085 1.0000000 `actual$parM0$Item2`: 0.0669304 1.3907426 0.2073209 0.9138446 `expected$parM0$Item2`: 0.0669261 1.3907279 0.2073191 0.9138473 `actual$parM0$Item3`: 1.55996421 0.92560058 0.00000000 0.90149113 `expected$parM0$Item3`: 1.55996917 0.92560294 0.00000000 0.90149049 `actual$parM0$Item5`: 1.1532557 1.0734014 0.3327421 1.0000000 `expected$parM0$Item5`: 1.1532483 1.0734028 0.3327464 1.0000000 `actual$parM0$Item8`: 0.1263851 0.8219324 0.1885746 1.0000000 `expected$parM0$Item8`: 0.1263959 0.8219280 0.1885706 1.0000000 `actual$parM0$Item12`: -0.34309056 0.89778299 0.20920333 1.00000000 `expected$parM0$Item12`: -0.34308747 0.89778156 0.20920250 1.00000000 `actual$parM0$Item13`: 0.6497828 0.8891646 0.3237768 0.9819687 `expected$parM0$Item13`: 0.6497499 0.8892116 0.3238028 0.9819624 `actual$parM0$Item15`: 0.09699751 0.59697184 0.00000000 1.00000000 `expected$parM0$Item15`: 0.09699738 0.59697101 0.00000000 1.00000000 `actual$parM0$Item16`: -0.5041715 1.0814102 0.0768309 1.0000000 `expected$parM0$Item16`: -0.5041613 1.0814053 0.0768282 1.0000000 `actual$parM0$Item20`: -1.3542432 1.2607027 0.2041056 1.0000000 `expected$parM0$Item20`: -1.3542322 1.2606959 0.2041043 1.0000000 `actual$seM0$Item1`: 0.25705019 0.34300471 0.14091399 0.14201913 `expected$seM0$Item1`: 0.25705064 0.34300482 0.14091771 0.14202016 `actual$seM0$Item2`: 0.23109125 0.36698488 0.06925302 0.06485684 `expected$seM0$Item2`: 0.23109160 0.36698349 0.06925410 0.06485802 `actual$seM0$Item3`: 0.504351357 0.468713968 0.545812153 0.064089880 `expected$seM0$Item3`: 0.504350328 0.468713871 0.545810883 0.064089490 `actual$seM0$Item4`: 1.117462987 0.594054259 1.313857686 0.135104009 `expected$seM0$Item4`: 1.117463066 0.594054238 1.313857732 0.135103997 `actual$seM0$Item5`: 0.317657431 0.409873898 0.201998807 0.049232628 `expected$seM0$Item5`: 0.317657804 0.409875289 0.201996745 0.049232666 `actual$seM0$Item8`: 0.35415112 0.45033155 0.20777905 0.16990648 `expected$seM0$Item8`: 0.35415243 0.45033194 0.20778332 0.16990731 `actual$seM0$Item12`: 0.336039253 0.439196930 0.128119288 0.197950429 `expected$seM0$Item12`: 0.336039415 0.439196958 0.128119945 0.197950678 `actual$seM0$Item13`: 0.4051980 0.4984701 0.2399315 0.0976115 `expected$seM0$Item13`: 0.4051788 0.4984669 0.2398930 0.0976032 `actual$seM0$Item15`: 0.47457407 0.55342802 0.45904730 0.38185767 `expected$seM0$Item15`: 0.47457501 0.55342914 0.45904902 0.38185900 `actual$seM0$Item16`: 0.226773445 0.317546109 0.079085957 0.140447068 `expected$seM0$Item16`: 0.226773530 0.317545795 0.079086991 0.140447487 `actual$seM0$Item20`: 0.284859533 0.399763396 0.044979642 0.187247927 `expected$seM0$Item20`: 0.284859523 0.399762947 0.044980132 0.187248908 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] [,4] - actual$covM0$Item1[1, ] 0.066074800 -0.002873132 -0.01387224 -0.01230156 + expected$covM0$Item1[1, ] 0.066075033 -0.002873414 -0.01387266 -0.01230148 - actual$covM0$Item1[2, ] -0.002873132 0.117652232 0.04420524 -0.04427739 + expected$covM0$Item1[2, ] -0.002873414 0.117652309 0.04420649 -0.04427779 - actual$covM0$Item1[3, ] -0.013872239 0.044205238 0.01985675 -0.01460883 + expected$covM0$Item1[3, ] -0.013872659 0.044206492 0.01985780 -0.01460940 - actual$covM0$Item1[4, ] -0.012301562 -0.044277390 -0.01460883 0.02016943 + expected$covM0$Item1[4, ] -0.012301480 -0.044277786 -0.01460940 0.02016973 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] - actual$covM0$Item2[1, ] 5.340317e-02 5.590604e-05 -0.006998014 -0.006735208 + expected$covM0$Item2[1, ] 5.340333e-02 5.566998e-05 -0.006998137 -0.006735282 - actual$covM0$Item2[2, ] 5.590604e-05 1.346779e-01 0.021276870 -0.019705105 + expected$covM0$Item2[2, ] 5.566998e-05 1.346769e-01 0.021277187 -0.019705447 - actual$covM0$Item2[3, ] -6.998014e-03 2.127687e-02 0.004795981 -0.002513852 + expected$covM0$Item2[3, ] -6.998137e-03 2.127719e-02 0.004796131 -0.002513958 - actual$covM0$Item2[4, ] -6.735208e-03 -1.970511e-02 -0.002513852 0.004206410 + expected$covM0$Item2[4, ] -6.735282e-03 -1.970545e-02 -0.002513958 0.004206563 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.254370291 -0.11787141 -0.21178022 0.005093577 + expected$covM0$Item3[1, ] 0.254369253 -0.11787064 -0.21177897 0.005093444 - actual$covM0$Item3[2, ] -0.117871409 0.21969278 0.23801274 -0.027092964 + expected$covM0$Item3[2, ] -0.117870642 0.21969269 0.23801207 -0.027092780 - actual$covM0$Item3[3, ] -0.211780217 0.23801274 0.29791091 -0.025885499 + expected$covM0$Item3[3, ] -0.211778967 0.23801207 0.29790952 -0.025885252 - actual$covM0$Item3[4, ] 0.005093577 -0.02709296 -0.02588550 0.004107513 + expected$covM0$Item3[4, ] 0.005093444 -0.02709278 -0.02588525 0.004107463 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] [,4] - actual$covM0$Item4[1, ] 1.24872353 -0.53786609 -1.3746198 0.09286993 + expected$covM0$Item4[1, ] 1.24872370 -0.53786613 -1.3746199 0.09286993 - actual$covM0$Item4[2, ] -0.53786609 0.35290046 0.7510240 -0.07637073 + expected$covM0$Item4[2, ] -0.53786613 0.35290044 0.7510240 -0.07637072 - actual$covM0$Item4[3, ] -1.37461977 0.75102399 1.7262220 -0.15110771 + expected$covM0$Item4[3, ] -1.37461994 0.75102399 1.7262221 -0.15110770 - actual$covM0$Item4[4, ] 0.09286993 -0.07637073 -0.1511077 0.01825309 + expected$covM0$Item4[4, ] 0.09286993 -0.07637072 -0.1511077 0.01825309 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.100906243 -0.01639228 -0.031927052 -0.004046355 + expected$covM0$Item5[1, ] 0.100906480 -0.01639186 -0.031926576 -0.004046425 - actual$covM0$Item5[2, ] -0.016392278 0.16799661 0.075194818 -0.017718185 + expected$covM0$Item5[2, ] -0.016391855 0.16799775 0.075194278 -0.017718255 - actual$covM0$Item5[3, ] -0.031927052 0.07519482 0.040803518 -0.006820954 + expected$covM0$Item5[3, ] -0.031926576 0.07519428 0.040802685 -0.006820884 - actual$covM0$Item5[4, ] -0.004046355 -0.01771818 -0.006820954 0.002423852 + expected$covM0$Item5[4, ] -0.004046425 -0.01771825 -0.006820884 0.002423855 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] [,4] - actual$covM0$Item8[1, ] 0.12542301 -0.01487184 -0.03023172 -0.01490142 + expected$covM0$Item8[1, ] 0.12542394 -0.01487277 -0.03023274 -0.01490116 - actual$covM0$Item8[2, ] -0.01487184 0.20279851 0.08730002 -0.07088381 + expected$covM0$Item8[2, ] -0.01487277 0.20279886 0.08730195 -0.07088427 - actual$covM0$Item8[3, ] -0.03023172 0.08730002 0.04317213 -0.02737567 + expected$covM0$Item8[3, ] -0.03023274 0.08730195 0.04317391 -0.02737643 - actual$covM0$Item8[4, ] -0.01490142 -0.07088381 -0.02737567 0.02886821 + expected$covM0$Item8[4, ] -0.01490116 -0.07088427 -0.02737643 0.02886849 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] - actual$covM0$Item12[1, ] 0.112922379 0.007729332 -0.01259563 -0.02701919 + expected$covM0$Item12[1, ] 0.112922489 0.007729283 -0.01259570 -0.02701919 - actual$covM0$Item12[2, ] 0.007729332 0.192893943 0.05163677 -0.07979903 + expected$covM0$Item12[2, ] 0.007729283 0.192893968 0.05163706 -0.07979916 - actual$covM0$Item12[3, ] -0.012595629 0.051636773 0.01641455 -0.01890950 + expected$covM0$Item12[3, ] -0.012595698 0.051637057 0.01641472 -0.01890963 - actual$covM0$Item12[4, ] -0.027019187 -0.079799034 -0.01890950 0.03918437 + expected$covM0$Item12[4, ] -0.027019190 -0.079799155 -0.01890963 0.03918447 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.164185458 -0.04635703 -0.05331897 -0.005051936 + expected$covM0$Item13[1, ] 0.164169886 -0.04634182 -0.05330373 -0.005054266 - actual$covM0$Item13[2, ] -0.046357032 0.24847246 0.11094897 -0.044402851 + expected$covM0$Item13[2, ] -0.046341822 0.24846923 0.11092965 -0.044398402 - actual$covM0$Item13[3, ] -0.053318974 0.11094897 0.05756711 -0.017570073 + expected$covM0$Item13[3, ] -0.053303731 0.11092965 0.05754866 -0.017565328 - actual$covM0$Item13[4, ] -0.005051936 -0.04440285 -0.01757007 0.009528008 + expected$covM0$Item13[4, ] -0.005054266 -0.04439840 -0.01756533 0.009526385 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.22522055 -0.04015838 -0.08681427 -0.02033736 + expected$covM0$Item15[1, ] 0.22522144 -0.04015882 -0.08681489 -0.02033722 - actual$covM0$Item15[2, ] -0.04015838 0.30628257 0.24460565 -0.20282879 + expected$covM0$Item15[2, ] -0.04015882 0.30628381 0.24460710 -0.20282993 - actual$covM0$Item15[3, ] -0.08681427 0.24460565 0.21072442 -0.15168542 + expected$covM0$Item15[3, ] -0.08681489 0.24460710 0.21072600 -0.15168659 - actual$covM0$Item15[4, ] -0.02033736 -0.20282879 -0.15168542 0.14581528 + expected$covM0$Item15[4, ] -0.02033722 -0.20282993 -0.15168659 0.14581630 actual$covM0$Item16 vs expected$covM0$Item16 [,1] [,2] [,3] [,4] - actual$covM0$Item16[1, ] 0.051426196 -0.001944726 -0.007211520 -0.012079178 + expected$covM0$Item16[1, ] 0.051426234 -0.001944540 -0.007211563 -0.012079256 - actual$covM0$Item16[2, ] -0.001944726 0.100835531 0.022217068 -0.039661786 + expected$covM0$Item16[2, ] -0.001944540 0.100835332 0.022217361 -0.039661897 - actual$covM0$Item16[3, ] -0.007211520 0.022217068 0.006254589 -0.007480797 + expected$covM0$Item16[3, ] -0.007211563 0.022217361 0.006254752 -0.007480938 - actual$covM0$Item16[4, ] -0.012079178 -0.039661786 -0.007480797 0.019725379 + expected$covM0$Item16[4, ] -0.012079256 -0.039661897 -0.007480938 0.019725497 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] [,4] - actual$covM0$Item20[1, ] 0.081144954 -0.01830648 -0.006659131 -0.015217996 + expected$covM0$Item20[1, ] 0.081144948 -0.01830561 -0.006659124 -0.015218388 - actual$covM0$Item20[2, ] -0.018306481 0.15981077 0.015099785 -0.065639571 + expected$covM0$Item20[2, ] -0.018305608 0.15981041 0.015099959 -0.065639903 - actual$covM0$Item20[3, ] -0.006659131 0.01509978 0.002023168 -0.005188930 + expected$covM0$Item20[3, ] -0.006659124 0.01509996 0.002023212 -0.005189033 - actual$covM0$Item20[4, ] -0.015217996 -0.06563957 -0.005188930 0.035061786 + expected$covM0$Item20[4, ] -0.015218388 -0.06563990 -0.005189033 0.035062154 `actual$parM1$Item1`: 0.32320546 1.13370631 -1.07235984 0.12662854 0.99317346 `expected$parM1$Item1`: 0.32320690 1.13370385 -1.07235558 0.12662741 0.99317360 `actual$parM1$Item2`: 0.59796443 1.15693269 -0.51422090 0.11177563 0.92026997 `expected$parM1$Item2`: 0.59798585 1.15691866 -0.51421910 0.11176757 0.92026964 actual$parM1$Item3 | expected$parM1$Item3 [1] 1.507978436 - 1.507978832 [1] [2] 0.917941683 - 0.917941949 [2] [3] 0.075486570 - 0.075486759 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.903361040 - 0.903360977 [5] `actual$parM1$Item6`: 0.5683118 0.9117789 -0.0274522 0.0598405 1.0000000 `expected$parM1$Item6`: 0.5683168 0.9117756 -0.0274509 0.0598373 1.0000000 `actual$parM1$Item9`: 0.24040630 0.63539787 0.03016192 0.04632084 1.00000000 `expected$parM1$Item9`: 0.24040832 0.63539707 0.03016213 0.04631958 1.00000000 `actual$parM1$Item10`: 0.1687878 0.6461605 0.0957568 0.0572069 1.0000000 `expected$parM1$Item10`: 0.1688208 0.6461490 0.0957520 0.0571918 1.0000000 `actual$parM1$Item12`: -0.43388127 0.92195800 0.09976397 0.22012406 1.00000000 `expected$parM1$Item12`: -0.43387697 0.92195601 0.09976269 0.22012311 1.00000000 `actual$parM1$Item13`: 0.4336086 1.1703006 0.2838149 0.4193065 0.9477100 `expected$parM1$Item13`: 0.4335702 1.1703861 0.2838069 0.4193302 0.9477042 `actual$parM1$Item15`: 0.0547058 0.5969746 0.0853485 0.0000000 1.0000000 `expected$parM1$Item15`: 0.0547019 0.5969767 0.0853333 0.0000000 1.0000000 actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510659434 - -0.510654210 [1] [2] 1.080511366 - 1.080507944 [2] [3] 0.015598901 - 0.015598920 [3] [4] 0.076474103 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] actual$parM1$Item18 | expected$parM1$Item18 [1] -0.600332589 - -0.600332436 [1] [2] 1.014631513 - 1.014631427 [2] [3] 0.134705354 - 0.134705348 [3] [4] 0.028827957 - 0.028827912 [4] [5] 1.000000000 | 1.000000000 [5] `actual$parM1$Item19`: -0.18778238 0.85453878 0.14282620 0.01274498 1.00000000 `expected$parM1$Item19`: -0.18778293 0.85453903 0.14282632 0.01274518 1.00000000 `actual$parM1$Item20`: -1.1926357 1.2187021 -0.1937108 0.1958467 1.0000000 `expected$parM1$Item20`: -1.1926466 1.2187082 -0.1937082 0.1958480 1.0000000 actual$seM1$Item1 | expected$seM1$Item1 [1] 0.242974216 - 0.242974302 [1] [2] 0.279351169 - 0.279351063 [2] [3] 0.278274253 - 0.278273693 [3] [4] 0.070776768 - 0.070777180 [4] [5] 0.088410887 - 0.088411114 [5] `actual$seM1$Item2`: 0.25627875 0.33586765 0.19336953 0.10775313 0.07377553 `expected$seM1$Item2`: 0.25627945 0.33586669 0.19336932 0.10775712 0.07377618 actual$seM1$Item3 | expected$seM1$Item3 [1] 0.521636737 - 0.521636597 [1] [2] 0.468280938 - 0.468280877 [2] [3] 0.139852149 - 0.139852165 [3] [4] 0.548974333 - 0.548974120 [4] [5] 0.065226192 - 0.065226143 [5] `actual$seM1$Item6`: 0.28403184 0.35563992 0.10315314 0.22049461 0.10345792 `expected$seM1$Item6`: 0.28403280 0.35564020 0.10315276 0.22049758 0.10345834 actual$seM1$Item7 | expected$seM1$Item7 [1] 0.498615859 - 0.498615829 [1] [2] 0.446131728 - 0.446131722 [2] [3] 0.201181080 | 0.201181080 [3] [4] 0.485314866 - 0.485314861 [4] [5] 0.166305546 | 0.166305546 [5] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.474254991 - 0.474255764 [1] [2] 0.533608357 - 0.533608761 [2] [3] 0.101035210 - 0.101035143 [3] [4] 0.444274636 - 0.444276968 [4] [5] 0.288364133 - 0.288364587 [5] `actual$seM1$Item10`: 0.4649567 0.5225814 0.1256262 0.4079314 0.2825969 `expected$seM1$Item10`: 0.4649682 0.5225862 0.1256239 0.4079608 0.2826029 `actual$seM1$Item12`: 0.33664664 0.43526840 0.13676587 0.11817985 0.19126502 `expected$seM1$Item12`: 0.33664694 0.43526859 0.13676547 0.11818063 0.19126547 `actual$seM1$Item13`: 0.3589886 0.4941280 0.2171419 0.1170259 0.0615478 `expected$seM1$Item13`: 0.3589787 0.4941353 0.2171466 0.1170046 0.0615420 `actual$seM1$Item15`: 0.4822156 0.5490582 0.1214616 0.4552445 0.3787329 `expected$seM1$Item15`: 0.4822104 0.5490568 0.1214523 0.4552373 0.3787339 actual$seM1$Item16 | expected$seM1$Item16 [1] 0.233414961 - 0.233415147 [1] [2] 0.317610857 - 0.317610849 [2] [3] 0.109179480 - 0.109179312 [3] [4] 0.079268402 - 0.079269049 [4] [5] 0.140600902 - 0.140601371 [5] actual$seM1$Item18 | expected$seM1$Item18 [1] 0.235640802 - 0.235640788 [1] [2] 0.311619177 - 0.311619184 [2] [3] 0.109317187 - 0.109317182 [3] [4] 0.086003755 - 0.086003770 [4] [5] 0.162425719 - 0.162425751 [5] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.279334792 - 0.279334683 [1] [2] 0.353276217 - 0.353276835 [2] [3] 0.112688877 - 0.112688973 [3] [4] 0.159165465 - 0.159165509 [4] [5] 0.182483039 - 0.182483219 [5] `actual$seM1$Item20`: 0.29237052 0.39480249 0.16195534 0.04792813 0.19209842 `expected$seM1$Item20`: 0.29237030 0.39480290 0.16195555 0.04792764 0.19209752 actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item1[1, ] 0.059036470 0.03252626 -0.03677974 0.001329006 -0.016986350 + expected$covM1$Item1[1, ] 0.059036511 0.03252624 -0.03677965 0.001329017 -0.016986392 - actual$covM1$Item1[2, ] 0.032526259 0.07803708 -0.06968574 0.016852109 -0.021122768 + expected$covM1$Item1[2, ] 0.032526241 0.07803702 -0.06968558 0.016852213 -0.021122826 - actual$covM1$Item1[3, ] -0.036779737 -0.06968574 0.07743656 -0.015696043 0.019749474 + expected$covM1$Item1[3, ] -0.036779648 -0.06968558 0.07743625 -0.015696111 0.019749495 - actual$covM1$Item1[4, ] 0.001329006 0.01685211 -0.01569604 0.005009351 -0.003806034 + expected$covM1$Item1[4, ] 0.001329017 0.01685221 -0.01569611 0.005009409 -0.003806072 - actual$covM1$Item1[5, ] -0.016986350 -0.02112277 0.01974947 -0.003806034 0.007816485 + expected$covM1$Item1[5, ] -0.016986392 -0.02112283 0.01974949 -0.003806072 0.007816525 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item2[1, ] 0.065678798 0.02566529 -0.019609165 -0.002997746 -0.012192522 + expected$covM1$Item2[1, ] 0.065679156 0.02566518 -0.019609039 -0.002997838 -0.012192615 - actual$covM1$Item2[2, ] 0.025665293 0.11280708 -0.048561189 0.031701766 -0.021355170 + expected$covM1$Item2[2, ] 0.025665183 0.11280643 -0.048561371 0.031702942 -0.021355351 - actual$covM1$Item2[3, ] -0.019609165 -0.04856119 0.037391773 -0.014071928 0.009551650 + expected$covM1$Item2[3, ] -0.019609039 -0.04856137 0.037391696 -0.014072576 0.009551815 - actual$covM1$Item2[4, ] -0.002997746 0.03170177 -0.014071928 0.011610737 -0.005035763 + expected$covM1$Item2[4, ] -0.002997838 0.03170294 -0.014072576 0.011611597 -0.005036033 - actual$covM1$Item2[5, ] -0.012192522 -0.02135517 0.009551650 -0.005035763 0.005442829 + expected$covM1$Item2[5, ] -0.012192615 -0.02135535 0.009551815 -0.005036033 0.005442924 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item3[1, ] 0.272104886 -0.12863754 -0.020122603 -0.22500322 0.006606150 + expected$covM1$Item3[1, ] 0.272104740 -0.12863744 -0.020122622 -0.22500304 0.006606133 - actual$covM1$Item3[2, ] -0.128637541 0.21928704 0.018169266 0.23931747 -0.027586355 + expected$covM1$Item3[2, ] -0.128637437 0.21928698 0.018169284 0.23931734 -0.027586329 - actual$covM1$Item3[3, ] -0.020122603 0.01816927 0.019558624 0.02033016 -0.002319495 + expected$covM1$Item3[3, ] -0.020122622 0.01816928 0.019558628 0.02033018 -0.002319495 - actual$covM1$Item3[4, ] -0.225003217 0.23931747 0.020330162 0.30137282 -0.026579297 + expected$covM1$Item3[4, ] -0.225003038 0.23931734 0.020330182 0.30137258 -0.026579263 - actual$covM1$Item3[5, ] 0.006606150 -0.02758635 -0.002319495 -0.02657930 0.004254456 + expected$covM1$Item3[5, ] 0.006606133 -0.02758633 -0.002319495 -0.02657926 0.004254450 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item6[1, ] 0.080674084 -0.015752893 -0.004791285 -0.030324410 -0.005933723 + expected$covM1$Item6[1, ] 0.080674629 -0.015753501 -0.004791242 -0.030325174 -0.005933590 - actual$covM1$Item6[2, ] -0.015752893 0.126479752 -0.003768430 0.072419529 -0.033449925 + expected$covM1$Item6[2, ] -0.015753501 0.126479950 -0.003768278 0.072420603 -0.033450109 - actual$covM1$Item6[3, ] -0.004791285 -0.003768430 0.010640571 -0.002199330 0.001017624 + expected$covM1$Item6[3, ] -0.004791242 -0.003768278 0.010640491 -0.002199273 0.001017585 - actual$covM1$Item6[4, ] -0.030324410 0.072419529 -0.002199330 0.048617871 -0.016896187 + expected$covM1$Item6[4, ] -0.030325174 0.072420603 -0.002199273 0.048619182 -0.016896515 - actual$covM1$Item6[5, ] -0.005933723 -0.033449925 0.001017624 -0.016896187 0.010703541 + expected$covM1$Item6[5, ] -0.005933590 -0.033450109 0.001017585 -0.016896515 0.010703629 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item7[1, ] 0.24861777 -0.13168198 -0.05711450 -0.19363009 0.02680847 + expected$covM1$Item7[1, ] 0.24861774 -0.13168198 -0.05711449 -0.19363008 0.02680848 - actual$covM1$Item7[2, ] -0.13168198 0.19903352 0.07840870 0.20584411 -0.06988717 + expected$covM1$Item7[2, ] -0.13168198 0.19903351 0.07840870 0.20584410 -0.06988717 - actual$covM1$Item7[3, ] -0.05711450 0.07840870 0.04047383 0.08202830 -0.02784201 + expected$covM1$Item7[3, ] -0.05711449 0.07840870 0.04047383 0.08202830 -0.02784201 - actual$covM1$Item7[4, ] -0.19363009 0.20584411 0.08202830 0.23553052 -0.06625726 + expected$covM1$Item7[4, ] -0.19363008 0.20584410 0.08202830 0.23553051 -0.06625726 - actual$covM1$Item7[5, ] 0.02680847 -0.06988717 -0.02784201 -0.06625726 0.02765753 + expected$covM1$Item7[5, ] 0.02680848 -0.06988717 -0.02784201 -0.06625726 0.02765753 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item9[1, ] 0.224917797 -0.07447552 -0.008330125 -0.11316559 0.002627585 + expected$covM1$Item9[1, ] 0.224918530 -0.07447642 -0.008330201 -0.11316683 0.002628051 - actual$covM1$Item9[2, ] -0.074475517 0.28473788 0.013489891 0.22727006 -0.146795898 + expected$covM1$Item9[2, ] -0.074476424 0.28473831 0.013490030 0.22727146 -0.146796259 - actual$covM1$Item9[3, ] -0.008330125 0.01348989 0.010208114 0.01085341 -0.007013465 + expected$covM1$Item9[3, ] -0.008330201 0.01349003 0.010208100 0.01085357 -0.007013541 - actual$covM1$Item9[4, ] -0.113165590 0.22727006 0.010853409 0.19737995 -0.108917370 + expected$covM1$Item9[4, ] -0.113166827 0.22727146 0.010853575 0.19738202 -0.108918167 - actual$covM1$Item9[5, ] 0.002627585 -0.14679590 -0.007013465 -0.10891737 0.083153873 + expected$covM1$Item9[5, ] 0.002628051 -0.14679626 -0.007013541 -0.10891817 0.083154135 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item10[1, ] 0.216184737 -0.07432006 -0.01592289 -0.10456644 0.003534106 + expected$covM1$Item10[1, ] 0.216195383 -0.07432929 -0.01592376 -0.10458053 0.003538585 - actual$covM1$Item10[2, ] -0.074320058 0.27309132 0.04034547 0.20397870 -0.140634607 + expected$covM1$Item10[2, ] -0.074329293 0.27309637 0.04034495 0.20399561 -0.140639083 - actual$covM1$Item10[3, ] -0.015922891 0.04034547 0.01578195 0.03038995 -0.020965851 + expected$covM1$Item10[3, ] -0.015923759 0.04034495 0.01578136 0.03039150 -0.020965849 - actual$covM1$Item10[4, ] -0.104566437 0.20397870 0.03038995 0.16640800 -0.097406299 + expected$covM1$Item10[4, ] -0.104580534 0.20399561 0.03039150 0.16643198 -0.097415874 - actual$covM1$Item10[5, ] 0.003534106 -0.14063461 -0.02096585 -0.09740630 0.079861027 + expected$covM1$Item10[5, ] 0.003538585 -0.14063908 -0.02096585 -0.09741587 0.079864388 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item12[1, ] 0.113330963 -0.002995993 -0.008519927 -0.014343742 -0.021811018 + expected$covM1$Item12[1, ] 0.113331165 -0.002995871 -0.008519885 -0.014343801 -0.021811109 - actual$covM1$Item12[2, ] -0.002995993 0.189458576 0.020013134 0.046964112 -0.076096618 + expected$covM1$Item12[2, ] -0.002995871 0.189458743 0.020012948 0.046964462 -0.076096856 - actual$covM1$Item12[3, ] -0.008519927 0.020013134 0.018704904 0.005060975 -0.008230865 + expected$covM1$Item12[3, ] -0.008519885 0.020012948 0.018704794 0.005060961 -0.008230804 - actual$covM1$Item12[4, ] -0.014343742 0.046964112 0.005060975 0.013966477 -0.016617976 + expected$covM1$Item12[4, ] -0.014343801 0.046964462 0.005060961 0.013966661 -0.016618144 - actual$covM1$Item12[5, ] -0.021811018 -0.076096618 -0.008230865 -0.016617976 0.036582307 + expected$covM1$Item12[5, ] -0.021811109 -0.076096856 -0.008230804 -0.016618144 0.036582479 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.128872845 -0.02385230 -0.022064784 -0.021673307 -0.005906705 + expected$covM1$Item13[1, ] 0.128865709 -0.02384182 -0.022063888 -0.021667199 -0.005907433 - actual$covM1$Item13[2, ] -0.023852297 0.24416248 0.057760533 0.051010234 -0.026217950 + expected$covM1$Item13[2, ] -0.023841819 0.24416968 0.057756147 0.051000869 -0.026215418 - actual$covM1$Item13[3, ] -0.022064784 0.05776053 0.047150586 0.012427634 -0.006425396 + expected$covM1$Item13[3, ] -0.022063888 0.05775615 0.047152638 0.012424076 -0.006424125 - actual$covM1$Item13[4, ] -0.021673307 0.05101023 0.012427634 0.013695066 -0.004606209 + expected$covM1$Item13[4, ] -0.021667199 0.05100087 0.012424076 0.013690074 -0.004604716 - actual$covM1$Item13[5, ] -0.005906705 -0.02621795 -0.006425396 -0.004606209 0.003788128 + expected$covM1$Item13[5, ] -0.005907433 -0.02621542 -0.006424125 -0.004604716 0.003787412 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item15[1, ] 0.232531884 -0.06075153 -0.01297414 -0.10288055 -0.006204069 + expected$covM1$Item15[1, ] 0.232526852 -0.06074430 -0.01297156 -0.10287306 -0.006208619 - actual$covM1$Item15[2, ] -0.060751533 0.30146490 0.04301063 0.24057756 -0.199512092 + expected$covM1$Item15[2, ] -0.060744299 0.30146342 0.04300264 0.24057316 -0.199512116 - actual$covM1$Item15[3, ] -0.012974141 0.04301063 0.01475292 0.03455350 -0.028672418 + expected$covM1$Item15[3, ] -0.012971563 0.04300264 0.01475066 0.03454663 -0.028667228 - actual$covM1$Item15[4, ] -0.102880552 0.24057756 0.03455350 0.20724753 -0.149021471 + expected$covM1$Item15[4, ] -0.102873057 0.24057316 0.03454663 0.20724102 -0.149019468 - actual$covM1$Item15[5, ] -0.006204069 -0.19951209 -0.02867242 -0.14902147 0.143438624 + expected$covM1$Item15[5, ] -0.006208619 -0.19951212 -0.02866723 -0.14901947 0.143439382 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item16[1, ] 0.054482544 -0.002616151 -0.0059813533 -0.0073820090 -0.0118200878 + expected$covM1$Item16[1, ] 0.054482631 -0.002616035 -0.0059813191 -0.0073820407 -0.0118201626 - actual$covM1$Item16[2, ] -0.002616151 0.100876656 0.0014046509 0.0222770369 -0.0397189646 + expected$covM1$Item16[2, ] -0.002616035 0.100876651 0.0014046713 0.0222772350 -0.0397191188 - actual$covM1$Item16[3, ] -0.005981353 0.001404651 0.0119201588 0.0003188097 -0.0005712760 + expected$covM1$Item16[3, ] -0.005981319 0.001404671 0.0119201223 0.0003188151 -0.0005712869 - actual$covM1$Item16[4, ] -0.007382009 0.022277037 0.0003188097 0.0062834796 -0.0075098402 + expected$covM1$Item16[4, ] -0.007382041 0.022277235 0.0003188151 0.0062835822 -0.0075099410 - actual$covM1$Item16[5, ] -0.011820088 -0.039718965 -0.0005712760 -0.0075098402 0.0197686138 + expected$covM1$Item16[5, ] -0.011820163 -0.039719119 -0.0005712869 -0.0075099410 0.0197687456 actual$covM1$Item18 vs expected$covM1$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item18[1, ] 0.055526587 -0.005107724 -0.005777831 -0.008518784 -0.012020509 + expected$covM1$Item18[1, ] 0.055526581 -0.005107706 -0.005777826 -0.008518781 -0.012020516 - actual$covM1$Item18[2, ] -0.005107724 0.097106512 0.012484484 0.024001282 -0.045575964 + expected$covM1$Item18[2, ] -0.005107706 0.097106516 0.012484487 0.024001287 -0.045575976 - actual$covM1$Item18[3, ] -0.005777831 0.012484484 0.011950247 0.003163198 -0.006030888 + expected$covM1$Item18[3, ] -0.005777826 0.012484487 0.011950246 0.003163199 -0.006030892 - actual$covM1$Item18[4, ] -0.008518784 0.024001282 0.003163198 0.007396646 -0.009759207 + expected$covM1$Item18[4, ] -0.008518781 0.024001287 0.003163199 0.007396648 -0.009759212 - actual$covM1$Item18[5, ] -0.012020509 -0.045575964 -0.006030888 -0.009759207 0.026382114 + expected$covM1$Item18[5, ] -0.012020516 -0.045575976 -0.006030892 -0.009759212 0.026382125 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item19[1, ] 0.078027926 -0.01036264 -0.006297070 -0.018930362 -0.012313163 + expected$covM1$Item19[1, ] 0.078027865 -0.01036266 -0.006297082 -0.018930344 -0.012313140 - actual$covM1$Item19[2, ] -0.010362636 0.12480409 0.020498902 0.052043046 -0.059447447 + expected$covM1$Item19[2, ] -0.010362665 0.12480452 0.020498987 0.052043164 -0.059447623 - actual$covM1$Item19[3, ] -0.006297070 0.02049890 0.012698783 0.008692298 -0.009960841 + expected$covM1$Item19[3, ] -0.006297082 0.02049899 0.012698805 0.008692324 -0.009960876 - actual$covM1$Item19[4, ] -0.018930362 0.05204305 0.008692298 0.025333645 -0.022091699 + expected$covM1$Item19[4, ] -0.018930344 0.05204316 0.008692324 0.025333659 -0.022091746 - actual$covM1$Item19[5, ] -0.012313163 -0.05944745 -0.009960841 -0.022091699 0.033300060 + expected$covM1$Item19[5, ] -0.012313140 -0.05944762 -0.009960876 -0.022091746 0.033300125 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item20[1, ] 0.085480523 -0.00171849 -0.010946815 -0.005364381 -0.022613779 + expected$covM1$Item20[1, ] 0.085480392 -0.00171942 -0.010946766 -0.005364424 -0.022613297 - actual$covM1$Item20[2, ] -0.001718490 0.15586900 -0.023641741 0.016043065 -0.066798906 + expected$covM1$Item20[2, ] -0.001719420 0.15586933 -0.023641348 0.016042894 -0.066798608 - actual$covM1$Item20[3, ] -0.010946815 -0.02364174 0.026229532 -0.002529147 0.010504313 + expected$covM1$Item20[3, ] -0.010946766 -0.02364135 0.026229599 -0.002529074 0.010504071 - actual$covM1$Item20[4, ] -0.005364381 0.01604306 -0.002529147 0.002297105 -0.005781561 + expected$covM1$Item20[4, ] -0.005364424 0.01604289 -0.002529074 0.002297059 -0.005781457 - actual$covM1$Item20[5, ] -0.022613779 -0.06679891 0.010504313 -0.005781561 0.036901804 + expected$covM1$Item20[5, ] -0.022613297 -0.06679861 0.010504071 -0.005781457 0.036901456 ── Failure ('test-difNLR.R:118:3'): difNLR - examples at help page ───────────── Expected `fit9` to equal `fit9_expected`. Differences: `actual$nlrPAR[[7]]`: 0.552188439 0.689291692 0.272423602 0.000000000 `expected$nlrPAR[[7]]`: 0.552188451 0.689291690 0.272423576 0.000000000 `actual$nlrPAR[[11]]`: 0.869532084 0.855467486 -0.059397638 0.000000000 `expected$nlrPAR[[11]]`: 0.869532116 0.855467487 -0.059397705 0.000000000 `actual$nlrSE[[7]]`: 0.067721747 0.056696510 0.096835714 0.000000000 `expected$nlrSE[[7]]`: 0.067721748 0.056696509 0.096835717 0.000000000 `actual$nlrSE[[11]]`: 0.074493944 0.061760811 0.098475235 0.000000000 `expected$nlrSE[[11]]`: 0.074493946 0.061760811 0.098475240 0.000000000 `actual$parM0$Item7`: 0.552188439 0.689291692 0.272423602 `expected$parM0$Item7`: 0.552188451 0.689291690 0.272423576 `actual$parM0$Item11`: 0.869532084 0.855467486 -0.059397638 `expected$parM0$Item11`: 0.869532116 0.855467487 -0.059397705 `actual$seM0$Item7`: 0.067721747 0.056696510 0.096835714 `expected$seM0$Item7`: 0.067721748 0.056696509 0.096835717 `actual$seM0$Item11`: 0.074493944 0.061760811 0.098475235 `expected$seM0$Item11`: 0.074493946 0.061760811 0.098475240 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] - actual$covM0$Item2[1, ] 0.0050070127 0.0009315839 -0.0049530136 + expected$covM0$Item2[1, ] 0.0050070126 0.0009315837 -0.0049530136 - actual$covM0$Item2[2, ] 0.0009315839 0.0037650415 -0.0007133438 + expected$covM0$Item2[2, ] 0.0009315837 0.0037650414 -0.0007133436 - actual$covM0$Item2[3, ] -0.0049530136 -0.0007133438 0.0093643981 + expected$covM0$Item2[3, ] -0.0049530136 -0.0007133436 0.0093643984 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] - actual$covM0$Item7[1, ] 0.0045862351 0.0007942599 -0.0042944437 + expected$covM0$Item7[1, ] 0.0045862352 0.0007942599 -0.0042944438 - actual$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866655 + expected$covM0$Item7[2, ] 0.0007942599 0.0032144942 0.0003866656 - actual$covM0$Item7[3, ] -0.0042944437 0.0003866655 0.0093771555 + expected$covM0$Item7[3, ] -0.0042944438 0.0003866656 0.0093771560 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] - actual$covM0$Item11[1, ] 0.005549348 0.0015599483 -0.0049548517 + expected$covM0$Item11[1, ] 0.005549348 0.0015599488 -0.0049548523 - actual$covM0$Item11[2, ] 0.001559948 0.0038143978 -0.0001062823 + expected$covM0$Item11[2, ] 0.001559949 0.0038143977 -0.0001062835 - actual$covM0$Item11[3, ] -0.004954852 -0.0001062823 0.0096973719 + expected$covM0$Item11[3, ] -0.004954852 -0.0001062835 0.0096973729 `actual$parM1$Item7`: 0.559439988 0.719833883 0.252572198 -0.063833226 `expected$parM1$Item7`: 0.559439989 0.719833875 0.252572202 -0.063833206 `actual$seM1$Item7`: 0.069709755 0.079613909 0.102734355 0.113448572 `expected$seM1$Item7`: 0.069709754 0.079613908 0.102734368 0.113448579 `actual$seM1$Item19`: 0.069491056 0.092708459 0.095301322 0.121809930 `expected$seM1$Item19`: 0.069491060 0.092708460 0.095301328 0.121809932 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] actual$covM1$Item7[1, ] 0.004859450 0.001607575 -0.004859450 -0.001607575 - actual$covM1$Item7[2, ] 0.001607575 0.006338374 -0.001607574 -0.006338374 + expected$covM1$Item7[2, ] 0.001607575 0.006338374 -0.001607575 -0.006338374 - actual$covM1$Item7[3, ] -0.004859450 -0.001607574 0.010554348 0.003928014 + expected$covM1$Item7[3, ] -0.004859450 -0.001607575 0.010554350 0.003928018 - actual$covM1$Item7[4, ] -0.001607575 -0.006338374 0.003928014 0.012870579 + expected$covM1$Item7[4, ] -0.001607575 -0.006338374 0.003928018 0.012870580 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] - actual$covM1$Item19[1, ] 0.0048290069 -0.0007476832 -0.0048290071 0.0007476829 + expected$covM1$Item19[1, ] 0.0048290074 -0.0007476829 -0.0048290075 0.0007476827 - actual$covM1$Item19[2, ] -0.0007476832 0.0085948584 0.0007476834 -0.0085948582 + expected$covM1$Item19[2, ] -0.0007476829 0.0085948585 0.0007476831 -0.0085948585 - actual$covM1$Item19[3, ] -0.0048290071 0.0007476834 0.0090823419 -0.0008085010 + expected$covM1$Item19[3, ] -0.0048290075 0.0007476831 0.0090823431 -0.0008085006 - actual$covM1$Item19[4, ] 0.0007476829 -0.0085948582 -0.0008085010 0.0148376591 + expected$covM1$Item19[4, ] 0.0007476827 -0.0085948585 -0.0008085006 0.0148376595 ── Failure ('test-difNLR.R:125:3'): difNLR - examples at help page ───────────── Expected `fit10` to equal `fit10_expected`. Differences: actual$Sval | expected$Sval [1] 17.361216722 - 17.361216723 [1] [2] 17.530657768 - 17.530658537 [2] [3] 0.033715447 | 0.033715447 [3] [4] 0.023932494 | 0.023932494 [4] [5] 0.000672725 | 0.000672725 [5] [6] 0.050701808 | 0.050701808 [6] [7] 3.309456762 | 3.309456762 [7] [8] 1.355637176 - 1.355637177 [8] [9] 0.193592961 - 0.193592964 [9] [10] 0.476012745 - 0.476012747 [10] ... ... ... and 10 more ... actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] 0.3522164 - 0.3522154 [1] [2] 1.1628554 - 1.1628422 [2] [3] -1.1548150 - -1.1547911 [3] [4] 0.1343236 - 0.1343193 [4] [5] 0.9788198 - 0.9788227 [5] [6] 0.0211802 - 0.0211773 [6] actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.9730745 - 0.9730623 [1] [2] 1.1284503 - 1.1284707 [2] [3] -1.0220872 - -1.0220973 [3] [4] 0.0819974 - 0.0820023 [4] [5] 0.8459763 - 0.8459750 [5] [6] 0.1540237 - 0.1540250 [6] actual$nlrPAR[[3]] | expected$nlrPAR[[3]] [1] 1.559325616 - 1.559322808 [1] [2] 0.925372282 - 0.925370930 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.891940685 - 0.891941040 [5] [6] 0.019271697 - 0.019271712 [6] actual$nlrPAR[[4]] | expected$nlrPAR[[4]] [1] 1.370355183 - 1.370347660 [1] [2] 0.703481071 - 0.703483039 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.091938415 - 0.091943776 [4] [5] 0.961753022 - 0.961752957 [5] [6] 0.038246978 - 0.038247043 [6] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.051677451 - 0.051677078 [4] [5] 0.997704129 - 0.997704122 [5] [6] 0.002295871 - 0.002295878 [6] actual$nlrPAR[[12]] | expected$nlrPAR[[12]] [1] -0.33050026 - -0.33049667 [1] [2] 0.92059130 - 0.92058988 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.21394314 - 0.21394223 [4] [5] 0.97582647 - 0.97582636 [5] [6] 0.02417353 - 0.02417364 [6] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] 0.661473489 - 0.661475683 [1] [2] 0.968249025 - 0.968251658 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.351005488 - 0.351005982 [4] [5] 0.947240418 - 0.947239791 [5] [6] 0.039604464 - 0.039604518 [6] actual$nlrPAR[[16]] | expected$nlrPAR[[16]] [1] -0.5041706 - -0.5041613 [1] [2] 1.0814097 - 1.0814053 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0768306 - 0.0768282 [4] [5] 1.0000000 | 1.0000000 [5] [6] 0.0000000 | 0.0000000 [6] actual$nlrPAR[[17]] | expected$nlrPAR[[17]] [1] -0.38705474 - -0.38701781 [1] [2] 0.67622539 - 0.67621136 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.08912856 - 0.08911714 [4] [5] 0.93325607 - 0.93325540 [5] [6] 0.06674393 - 0.06674460 [6] actual$nlrPAR[[18]] | expected$nlrPAR[[18]] [1] -0.508888829 - -0.508888930 [1] [2] 1.031919172 - 1.031919231 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.031011704 - 0.031011734 [4] [5] 0.966871415 | 0.966871415 [5] [6] 0.033128585 | 0.033128585 [6] actual$nlrPAR[[19]] | expected$nlrPAR[[19]] [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$nlrPAR[[20]] | expected$nlrPAR[[20]] [1] -1.30687434 - -1.30688602 [1] [2] 1.27596172 - 1.27596932 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.20314375 - 0.20314506 [4] [5] 1.00000000 | 1.00000000 [5] [6] -0.04483632 - -0.04483572 [6] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.244158599 - 0.244158657 [1] [2] 0.291675026 - 0.291674027 [2] [3] 0.341278122 - 0.341276339 [3] [4] 0.067338242 - 0.067339936 [4] [5] 0.083501697 - 0.083503183 [5] [6] 0.105691321 - 0.105691296 [6] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.27892017 - 0.27891845 [1] [2] 0.32564399 - 0.32564338 [2] [3] 0.29558745 - 0.29558692 [3] [4] 0.11291167 - 0.11290662 [4] [5] 0.06150765 - 0.06150649 [5] [6] 0.07960724 - 0.07960666 [6] actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 0.502732434 - 0.502733035 [1] [2] 0.466461979 - 0.466462102 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.542909142 - 0.542909937 [4] [5] 0.065382881 - 0.065383111 [5] [6] 0.024213777 - 0.024213787 [6] actual$nlrSE[[4]] | expected$nlrSE[[4]] [1] 0.844006898 - 0.843998826 [1] [2] 0.543528693 - 0.543529167 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.883264997 - 0.883251051 [4] [5] 0.106288061 - 0.106287822 [5] [6] 0.023778906 - 0.023778949 [6] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.477252118 - 0.477252149 [4] [5] 0.143832805 - 0.143832803 [5] [6] 0.030632741 | 0.030632741 [6] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.433897776 - 0.433898621 [4] [5] 0.286004872 - 0.286005089 [5] [6] 0.036888569 - 0.036888559 [6] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.332017493 - 0.332017614 [1] [2] 0.437531591 - 0.437531524 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.122381857 - 0.122382484 [4] [5] 0.184790092 - 0.184790235 [5] [6] 0.045082979 - 0.045082924 [6] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.380291318 - 0.380290817 [1] [2] 0.487054919 - 0.487054921 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.192977603 - 0.192976694 [4] [5] 0.082621362 - 0.082620883 [5] [6] 0.028677684 - 0.028677666 [6] actual$nlrSE[[16]] | expected$nlrSE[[16]] [1] 0.226830270 - 0.226830358 [1] [2] 0.317625646 - 0.317625371 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.079105873 - 0.079106810 [4] [5] 0.142260702 - 0.142261074 [5] [6] 0.044847827 - 0.044847700 [6] actual$nlrSE[[17]] | expected$nlrSE[[17]] [1] 0.46999990 - 0.47000361 [1] [2] 0.52702339 - 0.52702666 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.22551862 - 0.22553437 [4] [5] 0.39826325 - 0.39827087 [5] [6] 0.05207224 - 0.05207152 [6] actual$nlrSE[[18]] | expected$nlrSE[[18]] [1] 0.229165333 - 0.229165340 [1] [2] 0.313859053 - 0.313859107 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.084665075 - 0.084665069 [4] [5] 0.154396751 - 0.154396749 [5] [6] 0.045079805 - 0.045079807 [6] actual$nlrSE[[19]] | expected$nlrSE[[19]] [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$nlrSE[[20]] | expected$nlrSE[[20]] [1] 0.28424666 - 0.28424653 [1] [2] 0.40295921 - 0.40295954 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.04489788 - 0.04489736 [4] [5] 0.18144840 - 0.18144733 [5] [6] 0.06188552 - 0.06188565 [6] `actual$parM0$Item2`: 0.1428909 1.0783752 0.1290609 1.0000000 -0.0766246 `expected$parM0$Item2`: 0.1428665 1.0784005 0.1290731 1.0000000 -0.0766302 actual$parM0$Item3 | expected$parM0$Item3 [1] 1.559325616 - 1.559322808 [1] [2] 0.925372282 - 0.925370930 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.891940685 - 0.891941040 [4] [5] 0.019271697 - 0.019271712 [5] actual$parM0$Item4 | expected$parM0$Item4 [1] 1.370355183 - 1.370347660 [1] [2] 0.703481071 - 0.703483039 [2] [3] 0.091938415 - 0.091943776 [3] [4] 0.961753022 - 0.961752957 [4] [5] 0.038246978 - 0.038247043 [5] actual$parM0$Item9 | expected$parM0$Item9 [1] 0.247626831 - 0.247627610 [1] [2] 0.639745163 - 0.639744929 [2] [3] 0.051677451 - 0.051677078 [3] [4] 0.997704129 - 0.997704122 [4] [5] 0.002295871 - 0.002295878 [5] `actual$parM0$Item12`: -0.33050026 0.92059130 0.21394314 0.97582647 0.02417353 `expected$parM0$Item12`: -0.33049667 0.92058988 0.21394223 0.97582636 0.02417364 actual$parM0$Item13 | expected$parM0$Item13 [1] 0.661473489 - 0.661475683 [1] [2] 0.968249025 - 0.968251658 [2] [3] 0.351005488 - 0.351005982 [3] [4] 0.947240418 - 0.947239791 [4] [5] 0.039604464 - 0.039604518 [5] `actual$parM0$Item16`: -0.5041706 1.0814097 0.0768306 1.0000000 0.0000000 `expected$parM0$Item16`: -0.5041613 1.0814053 0.0768282 1.0000000 0.0000000 `actual$parM0$Item17`: -0.38705474 0.67622539 0.08912856 0.93325607 0.06674393 `expected$parM0$Item17`: -0.38701781 0.67621136 0.08911714 0.93325540 0.06674460 actual$parM0$Item18 | expected$parM0$Item18 [1] -0.508888829 - -0.508888930 [1] [2] 1.031919172 - 1.031919231 [2] [3] 0.031011704 - 0.031011734 [3] [4] 0.966871415 | 0.966871415 [4] [5] 0.033128585 | 0.033128585 [5] actual$parM0$Item20 | expected$parM0$Item20 [1] -1.30687434 - -1.30688602 [1] [2] 1.27596172 - 1.27596932 [2] [3] 0.20314375 - 0.20314506 [3] [4] 1.00000000 | 1.00000000 [4] [5] -0.04483632 - -0.04483572 [5] `actual$seM0$Item2`: 0.24677535 0.34322307 0.11349660 0.09926591 0.03643916 `expected$seM0$Item2`: 0.24677318 0.34322323 0.11348925 0.09926321 0.03643944 actual$seM0$Item3 | expected$seM0$Item3 [1] 0.502732434 - 0.502733035 [1] [2] 0.466461979 - 0.466462102 [2] [3] 0.542909142 - 0.542909937 [3] [4] 0.065382881 - 0.065383111 [4] [5] 0.024213777 - 0.024213787 [5] actual$seM0$Item4 | expected$seM0$Item4 [1] 0.844006898 - 0.843998826 [1] [2] 0.543528693 - 0.543529167 [2] [3] 0.883264997 - 0.883251051 [3] [4] 0.106288061 - 0.106287822 [4] [5] 0.023778906 - 0.023778949 [5] actual$seM0$Item7 | expected$seM0$Item7 [1] 0.460828393 - 0.460828449 [1] [2] 0.445556540 - 0.445556550 [2] [3] 0.477252118 - 0.477252149 [3] [4] 0.143832805 - 0.143832803 [4] [5] 0.030632741 | 0.030632741 [5] actual$seM0$Item9 | expected$seM0$Item9 [1] 0.464768649 - 0.464768825 [1] [2] 0.532542182 - 0.532542491 [2] [3] 0.433897776 - 0.433898621 [3] [4] 0.286004872 - 0.286005089 [4] [5] 0.036888569 - 0.036888559 [5] actual$seM0$Item12 | expected$seM0$Item12 [1] 0.332017493 - 0.332017614 [1] [2] 0.437531591 - 0.437531524 [2] [3] 0.122381857 - 0.122382484 [3] [4] 0.184790092 - 0.184790235 [4] [5] 0.045082979 - 0.045082924 [5] actual$seM0$Item13 | expected$seM0$Item13 [1] 0.380291318 - 0.380290817 [1] [2] 0.487054919 - 0.487054921 [2] [3] 0.192977603 - 0.192976694 [3] [4] 0.082621362 - 0.082620883 [4] [5] 0.028677684 - 0.028677666 [5] actual$seM0$Item16 | expected$seM0$Item16 [1] 0.226830270 - 0.226830358 [1] [2] 0.317625646 - 0.317625371 [2] [3] 0.079105873 - 0.079106810 [3] [4] 0.142260702 - 0.142261074 [4] [5] 0.044847827 - 0.044847700 [5] `actual$seM0$Item17`: 0.46999990 0.52702339 0.22551862 0.39826325 0.05207224 `expected$seM0$Item17`: 0.47000361 0.52702666 0.22553437 0.39827087 0.05207152 actual$seM0$Item18 | expected$seM0$Item18 [1] 0.229165333 - 0.229165340 [1] [2] 0.313859053 - 0.313859107 [2] [3] 0.084665075 - 0.084665069 [3] [4] 0.154396751 - 0.154396749 [4] [5] 0.045079805 - 0.045079807 [5] `actual$seM0$Item20`: 0.28424666 0.40295921 0.04489788 0.18144840 0.06188552 `expected$seM0$Item20`: 0.28424653 0.40295954 0.04489736 0.18144733 0.06188565 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item2[1, ] 0.060898071 -0.0013525890 -1.140363e-02 -0.009817049 1.476105e-03 + expected$covM0$Item2[1, ] 0.060897003 -0.0013519911 -1.140277e-02 -0.009817005 1.476183e-03 - actual$covM0$Item2[2, ] -0.001352589 0.1178020734 3.462824e-02 -0.029227302 7.117625e-04 + expected$covM0$Item2[2, ] -0.001351991 0.1178021874 3.462582e-02 -0.029226320 7.118588e-04 - actual$covM0$Item2[3, ] -0.011403627 0.0346282387 1.288148e-02 -0.007191200 -5.909539e-05 + expected$covM0$Item2[3, ] -0.011402771 0.0346258153 1.287981e-02 -0.007190398 -5.908444e-05 - actual$covM0$Item2[4, ] -0.009817049 -0.0292273019 -7.191200e-03 0.009853721 -1.067770e-03 + expected$covM0$Item2[4, ] -0.009817005 -0.0292263197 -7.190398e-03 0.009853186 -1.067807e-03 - actual$covM0$Item2[5, ] 0.001476105 0.0007117625 -5.909539e-05 -0.001067770 1.327813e-03 + expected$covM0$Item2[5, ] 0.001476183 0.0007118588 -5.908444e-05 -0.001067807 1.327833e-03 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item3[1, ] 0.2527398998 -0.1160480250 -0.2095225794 0.0053572820 -0.0009003611 + expected$covM0$Item3[1, ] 0.2527405043 -0.1160484895 -0.2095233216 0.0053573625 -0.0009003657 - actual$covM0$Item3[2, ] -0.1160480250 0.2175867780 0.2354393736 -0.0271676659 0.0005548035 + expected$covM0$Item3[2, ] -0.1160484895 0.2175868924 0.2354398197 -0.0271677795 0.0005548059 - actual$covM0$Item3[3, ] -0.2095225794 0.2354393736 0.2947503368 -0.0260668881 0.0008662254 + expected$covM0$Item3[3, ] -0.2095233216 0.2354398197 0.2947511996 -0.0260670390 0.0008662298 - actual$covM0$Item3[4, ] 0.0053572820 -0.0271676659 -0.0260668881 0.0042749211 -0.0003318366 + expected$covM0$Item3[4, ] 0.0053573625 -0.0271677795 -0.0260670390 0.0042749512 -0.0003318372 - actual$covM0$Item3[5, ] -0.0009003611 0.0005548035 0.0008662254 -0.0003318366 0.0005863070 + expected$covM0$Item3[5, ] -0.0009003657 0.0005548059 0.0008662298 -0.0003318372 0.0005863075 actual$covM0$Item4 vs expected$covM0$Item4 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item4[1, ] 0.712347644 -0.328085169 -0.665187408 0.0434450756 -0.0057065628 + expected$covM0$Item4[1, ] 0.712334018 -0.328080797 -0.665168991 0.0434441520 -0.0057065351 - actual$covM0$Item4[2, ] -0.328085169 0.295423441 0.456099525 -0.0542842416 0.0028357335 + expected$covM0$Item4[2, ] -0.328080797 0.295423955 0.456092682 -0.0542841521 0.0028357484 - actual$covM0$Item4[3, ] -0.665187408 0.456099525 0.780157055 -0.0770812908 0.0055440214 + expected$covM0$Item4[3, ] -0.665168991 0.456092682 0.780132419 -0.0770798607 0.0055439604 - actual$covM0$Item4[4, ] 0.043445076 -0.054284242 -0.077081291 0.0112971518 -0.0006570195 + expected$covM0$Item4[4, ] 0.043444152 -0.054284152 -0.077079861 0.0112971012 -0.0006570207 - actual$covM0$Item4[5, ] -0.005706563 0.002835733 0.005544021 -0.0006570195 0.0005654364 + expected$covM0$Item4[5, ] -0.005706535 0.002835748 0.005543960 -0.0006570207 0.0005654384 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item7[1, ] 0.212362808 -0.094143900 -0.156584884 0.0119019143 -0.0037323225 + expected$covM0$Item7[1, ] 0.212362860 -0.094143928 -0.156584925 0.0119019169 -0.0037323230 - actual$covM0$Item7[2, ] -0.094143900 0.198520630 0.200777938 -0.0601200805 0.0016901313 + expected$covM0$Item7[2, ] -0.094143928 0.198520639 0.200777955 -0.0601200800 0.0016901308 - actual$covM0$Item7[3, ] -0.156584884 0.200777938 0.227769584 -0.0556754197 0.0027817835 + expected$covM0$Item7[3, ] -0.156584925 0.200777955 0.227769613 -0.0556754204 0.0027817831 - actual$covM0$Item7[4, ] 0.011901914 -0.060120080 -0.055675420 0.0206878757 -0.0006579880 + expected$covM0$Item7[4, ] 0.011901917 -0.060120080 -0.055675420 0.0206878753 -0.0006579877 - actual$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579880 0.0009383648 + expected$covM0$Item7[5, ] -0.003732323 0.001690131 0.002781783 -0.0006579877 0.0009383648 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item9[1, ] 0.2160098974 -6.476477e-02 -1.030129e-01 -0.0022779940 -1.760865e-04 + expected$covM0$Item9[1, ] 0.2160100606 -6.476500e-02 -1.030133e-01 -0.0022778702 -1.760864e-04 - actual$covM0$Item9[2, ] -0.0647647690 2.836012e-01 2.213988e-01 -0.1449467105 1.480259e-05 + expected$covM0$Item9[2, ] -0.0647650005 2.836015e-01 2.213994e-01 -0.1449469175 1.480101e-05 - actual$covM0$Item9[3, ] -0.1030129342 2.213988e-01 1.882673e-01 -0.1051302805 5.657609e-05 + expected$covM0$Item9[3, ] -0.1030132619 2.213994e-01 1.882680e-01 -0.1051305951 5.657496e-05 - actual$covM0$Item9[4, ] -0.0022779940 -1.449467e-01 -1.051303e-01 0.0817987867 -6.575088e-04 + expected$covM0$Item9[4, ] -0.0022778702 -1.449469e-01 -1.051306e-01 0.0817989109 -6.575075e-04 - actual$covM0$Item9[5, ] -0.0001760865 1.480259e-05 5.657609e-05 -0.0006575088 1.360767e-03 + expected$covM0$Item9[5, ] -0.0001760864 1.480101e-05 5.657496e-05 -0.0006575075 1.360766e-03 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item12[1, ] 0.110235616 0.0056311644 -1.267221e-02 -0.0240119470 -1.135891e-03 + expected$covM0$Item12[1, ] 0.110235696 0.0056311406 -1.267228e-02 -0.0240119428 -1.135896e-03 - actual$covM0$Item12[2, ] 0.005631164 0.1914338930 4.891929e-02 -0.0735052966 -8.883662e-04 + expected$covM0$Item12[2, ] 0.005631141 0.1914338346 4.891955e-02 -0.0735053598 -8.883649e-04 - actual$covM0$Item12[3, ] -0.012672215 0.0489192890 1.497732e-02 -0.0166032350 -8.474088e-05 + expected$covM0$Item12[3, ] -0.012672280 0.0489195461 1.497747e-02 -0.0166033456 -8.474056e-05 - actual$covM0$Item12[4, ] -0.024011947 -0.0735052966 -1.660323e-02 0.0341473780 -4.471782e-04 + expected$covM0$Item12[4, ] -0.024011943 -0.0735053598 -1.660335e-02 0.0341474308 -4.471749e-04 - actual$covM0$Item12[5, ] -0.001135891 -0.0008883662 -8.474088e-05 -0.0004471782 2.032475e-03 + expected$covM0$Item12[5, ] -0.001135896 -0.0008883649 -8.474056e-05 -0.0004471749 2.032470e-03 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item13[1, ] 0.144621487 -0.0250044720 -0.0359607869 -0.0067896009 -0.0015065413 + expected$covM0$Item13[1, ] 0.144621105 -0.0250040336 -0.0359604733 -0.0067896313 -0.0015065367 - actual$covM0$Item13[2, ] -0.025004472 0.2372224941 0.0858856842 -0.0358947002 0.0001366984 + expected$covM0$Item13[2, ] -0.025004034 0.2372224957 0.0858852456 -0.0358944696 0.0001366962 - actual$covM0$Item13[3, ] -0.035960787 0.0858856842 0.0372403553 -0.0114542106 0.0003322679 + expected$covM0$Item13[3, ] -0.035960473 0.0858852456 0.0372400043 -0.0114540739 0.0003322655 - actual$covM0$Item13[4, ] -0.006789601 -0.0358947002 -0.0114542106 0.0068262895 -0.0003128964 + expected$covM0$Item13[4, ] -0.006789631 -0.0358944696 -0.0114540739 0.0068262103 -0.0003128961 - actual$covM0$Item13[5, ] -0.001506541 0.0001366984 0.0003322679 -0.0003128964 0.0008224096 + expected$covM0$Item13[5, ] -0.001506537 0.0001366962 0.0003322655 -0.0003128961 0.0008224085 actual$covM0$Item16 vs expected$covM0$Item16 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item16[1, ] 5.145197e-02 -1.945689e-03 -7.215139e-03 -0.012085237 -1.665335e-16 + expected$covM0$Item16[1, ] 5.145201e-02 -1.945515e-03 -7.215178e-03 -0.012085311 6.591949e-17 - actual$covM0$Item16[2, ] -1.945689e-03 1.008861e-01 2.222823e-02 -0.039681673 -5.134781e-16 + expected$covM0$Item16[2, ] -1.945515e-03 1.008859e-01 2.222850e-02 -0.039681778 2.706169e-16 - actual$covM0$Item16[3, ] -7.215139e-03 2.222823e-02 6.257739e-03 -0.007484560 -9.627715e-17 + expected$covM0$Item16[3, ] -7.215178e-03 2.222850e-02 6.257887e-03 -0.007484688 5.290907e-17 - actual$covM0$Item16[4, ] -1.208524e-02 -3.968167e-02 -7.484560e-03 0.020238107 -1.005664e-03 + expected$covM0$Item16[4, ] -1.208531e-02 -3.968178e-02 -7.484688e-03 0.020238213 -1.005658e-03 - actual$covM0$Item16[5, ] -1.665335e-16 -5.134781e-16 -9.627715e-17 -0.001005664 2.011328e-03 + expected$covM0$Item16[5, ] 6.591949e-17 2.706169e-16 5.290907e-17 -0.001005658 2.011316e-03 actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item17[1, ] 0.220899909 0.063060775 -0.003938132 -0.096549727 -0.007988273 + expected$covM0$Item17[1, ] 0.220903391 0.063058918 -0.003939229 -0.096549798 -0.007988350 - actual$covM0$Item17[2, ] 0.063060775 0.277753651 0.112613059 -0.199603673 -0.005653049 + expected$covM0$Item17[2, ] 0.063058918 0.277757105 0.112621848 -0.199609092 -0.005652894 - actual$covM0$Item17[3, ] -0.003938132 0.112613059 0.050858650 -0.074732503 -0.001334355 + expected$covM0$Item17[3, ] -0.003939229 0.112621848 0.050865750 -0.074739600 -0.001334374 - actual$covM0$Item17[4, ] -0.096549727 -0.199603673 -0.074732503 0.158613616 0.004535833 + expected$covM0$Item17[4, ] -0.096549798 -0.199609092 -0.074739600 0.158619688 0.004535847 - actual$covM0$Item17[5, ] -0.007988273 -0.005653049 -0.001334355 0.004535833 0.002711518 + expected$covM0$Item17[5, ] -0.007988350 -0.005652894 -0.001334374 0.004535847 0.002711444 actual$covM0$Item18 vs expected$covM0$Item18 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item18[1, ] 0.0525167499 0.0003233474 -7.087094e-03 -0.0136648837 -7.293543e-04 + expected$covM0$Item18[1, ] 0.0525167530 0.0003233403 -7.087094e-03 -0.0136648828 -7.293537e-04 - actual$covM0$Item18[2, ] 0.0003233474 0.0985075049 2.372801e-02 -0.0431393311 -7.047096e-04 + expected$covM0$Item18[2, ] 0.0003233403 0.0985075389 2.372801e-02 -0.0431393367 -7.047132e-04 - actual$covM0$Item18[3, ] -0.0070870935 0.0237280103 7.168175e-03 -0.0090113380 -7.055311e-05 + expected$covM0$Item18[3, ] -0.0070870943 0.0237280135 7.168174e-03 -0.0090113371 -7.055409e-05 - actual$covM0$Item18[4, ] -0.0136648837 -0.0431393311 -9.011338e-03 0.0238383568 -5.127081e-04 + expected$covM0$Item18[4, ] -0.0136648828 -0.0431393367 -9.011337e-03 0.0238383560 -5.127068e-04 - actual$covM0$Item18[5, ] -0.0007293543 -0.0007047096 -7.055311e-05 -0.0005127081 2.032189e-03 + expected$covM0$Item18[5, ] -0.0007293537 -0.0007047132 -7.055409e-05 -0.0005127068 2.032189e-03 actual$covM0$Item20 vs expected$covM0$Item20 [,1] [,2] [,3] [,4] [,5] - actual$covM0$Item20[1, ] 0.080796162 -0.020359587 -0.0068355422 -0.014236107 0.0013167562 + expected$covM0$Item20[1, ] 0.080796092 -0.020360526 -0.0068355428 -0.014235683 0.0013167167 - actual$covM0$Item20[2, ] -0.020359587 0.162376122 0.0151434957 -0.062778074 0.0023897305 + expected$covM0$Item20[2, ] -0.020360526 0.162376393 0.0151433002 -0.062777678 0.0023896946 - actual$covM0$Item20[3, ] -0.006835542 0.015143496 0.0020158201 -0.004851506 0.0001208842 + expected$covM0$Item20[3, ] -0.006835543 0.015143300 0.0020157725 -0.004851400 0.0001208804 - actual$covM0$Item20[4, ] -0.014236107 -0.062778074 -0.0048515063 0.032923522 -0.0032612581 + expected$covM0$Item20[4, ] -0.014235683 -0.062777678 -0.0048513999 0.032923134 -0.0032612366 - actual$covM0$Item20[5, ] 0.001316756 0.002389730 0.0001208842 -0.003261258 0.0038298177 + expected$covM0$Item20[5, ] 0.001316717 0.002389695 0.0001208804 -0.003261237 0.0038298339 actual$parM1$Item1 | expected$parM1$Item1 [1] 0.3522164 - 0.3522154 [1] [2] 1.1628554 - 1.1628422 [2] [3] -1.1548150 - -1.1547911 [3] [4] 0.1343236 - 0.1343193 [4] [5] 0.9788198 - 0.9788227 [5] [6] 0.0211802 - 0.0211773 [6] actual$parM1$Item2 | expected$parM1$Item2 [1] 0.9730745 - 0.9730623 [1] [2] 1.1284503 - 1.1284707 [2] [3] -1.0220872 - -1.0220973 [3] [4] 0.0819974 - 0.0820023 [4] [5] 0.8459763 - 0.8459750 [5] [6] 0.1540237 - 0.1540250 [6] actual$parM1$Item3 | expected$parM1$Item3 [1] 1.58391161 - 1.58390980 [1] [2] 0.92652999 - 0.92652947 [2] [3] -0.04434111 - -0.04433977 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.88842032 - 0.88842055 [5] [6] 0.02582253 - 0.02582235 [6] actual$parM1$Item4 | expected$parM1$Item4 [1] 1.31742041 - 1.31743143 [1] [2] 0.69924019 - 0.69923847 [2] [3] 0.03889977 - 0.03889712 [3] [4] 0.10164233 - 0.10163638 [4] [5] 0.96802661 - 0.96802628 [5] [6] 0.03197339 - 0.03197372 [6] actual$parM1$Item7 | expected$parM1$Item7 [1] 0.557582563 - 0.557582567 [1] [2] 0.712124973 - 0.712124987 [2] [3] 0.376374510 - 0.376374549 [3] [4] 0.000000000 | 0.000000000 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.030721341 - -0.030721351 [6] actual$parM1$Item8 | expected$parM1$Item8 [1] 0.37369286 - 0.37366610 [1] [2] 0.97941978 - 0.97943301 [2] [3] -0.35104328 - -0.35104442 [3] [4] 0.23483534 - 0.23484438 [4] [5] 0.88670197 - 0.88670130 [5] [6] 0.11329803 - 0.11329870 [6] actual$parM1$Item9 | expected$parM1$Item9 [1] 0.21059075 - 0.21058047 [1] [2] 0.66230127 - 0.66230203 [2] [3] 0.12122689 - 0.12121382 [3] [4] 0.06175724 - 0.06176228 [4] [5] 1.00000000 | 1.00000000 [5] [6] -0.03399225 - -0.03398806 [6] actual$parM1$Item10 | expected$parM1$Item10 [1] 0.16145075 - 0.16144182 [1] [2] 0.65676743 - 0.65676780 [2] [3] 0.14061890 - 0.14060469 [3] [4] 0.06100336 - 0.06100772 [4] [5] 1.00000000 | 1.00000000 [5] [6] -0.01685691 - -0.01685210 [6] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.8217973 - 0.8217999 [1] [2] 0.8928191 - 0.8928274 [2] [3] -0.0172571 - -0.0172997 [3] [4] 0.0355421 - 0.0355538 [4] [5] 1.0000000 | 1.0000000 [5] [6] -0.0147841 - -0.0147796 [6] actual$parM1$Item12 | expected$parM1$Item12 [1] -0.433879354 - -0.433877994 [1] [2] 0.921957306 - 0.921956480 [2] [3] 0.099763120 - 0.099763054 [3] [4] 0.220123677 - 0.220123328 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item13 | expected$parM1$Item13 [1] 0.51470837 - 0.51470742 [1] [2] 1.12597617 - 1.12598065 [2] [3] 0.18502702 - 0.18502470 [3] [4] 0.40484373 - 0.40484510 [4] [5] 0.94231767 - 0.94231712 [5] [6] 0.01518020 - 0.01518059 [6] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.054804694 - 0.054804718 [1] [2] 0.602405620 - 0.602404534 [2] [3] 0.120732813 - 0.120722474 [3] [4] 0.000000000 | 0.000000000 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.015114210 - -0.015110108 [6] actual$parM1$Item16 | expected$parM1$Item16 [1] -0.510654427 - -0.510654210 [1] [2] 1.080507996 - 1.080507944 [2] [3] 0.015599195 - 0.015598920 [3] [4] 0.076472713 - 0.076472689 [4] [5] 1.000000000 | 1.000000000 [5] [6] 0.000000000 | 0.000000000 [6] actual$parM1$Item17 | expected$parM1$Item17 [1] -0.565417091 - -0.565417083 [1] [2] 0.668092864 - 0.668092840 [2] [3] 0.188063032 - 0.188062853 [3] [4] 0.095143158 | 0.095143158 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.002212957 - -0.002212877 [6] actual$parM1$Item19 | expected$parM1$Item19 [1] -0.338788974 - -0.338789188 [1] [2] 1.026951113 - 1.026951238 [2] [3] 0.585537899 - 0.585537978 [3] [4] 0.061911742 - 0.061911810 [4] [5] 1.000000000 | 1.000000000 [5] [6] -0.149407491 - -0.149407505 [6] actual$parM1$Item20 | expected$parM1$Item20 [1] -1.19264580 - -1.19263706 [1] [2] 1.21870769 - 1.21870308 [2] [3] -0.19370834 - -0.19371091 [3] [4] 0.19584787 - 0.19584691 [4] [5] 1.00000000 | 1.00000000 [5] [6] 0.00000000 | 0.00000000 [6] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.244158599 - 0.244158657 [1] [2] 0.291675026 - 0.291674027 [2] [3] 0.341278122 - 0.341276339 [3] [4] 0.067338242 - 0.067339936 [4] [5] 0.083501697 - 0.083503183 [5] [6] 0.105691321 - 0.105691296 [6] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.27892017 - 0.27891845 [1] [2] 0.32564399 - 0.32564338 [2] [3] 0.29558745 - 0.29558692 [3] [4] 0.11291167 - 0.11290662 [4] [5] 0.06150765 - 0.06150649 [5] [6] 0.07960724 - 0.07960666 [6] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.523983440 - 0.523983750 [1] [2] 0.468580821 - 0.468580809 [2] [3] 0.242284118 - 0.242284142 [3] [4] 0.545102044 - 0.545102292 [4] [5] 0.065836527 - 0.065836635 [5] [6] 0.043302712 - 0.043302744 [6] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.919506290 - 0.919517805 [1] [2] 0.567693570 - 0.567695052 [2] [3] 0.278781541 - 0.278780639 [3] [4] 0.903640059 - 0.903659117 [4] [5] 0.109991108 - 0.109991304 [5] [6] 0.051005380 - 0.051005295 [6] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.515971308 - 0.515971341 [1] [2] 0.434907092 - 0.434907110 [2] [3] 0.303436153 - 0.303436189 [3] [4] 0.456730019 - 0.456730039 [4] [5] 0.168363776 - 0.168363774 [5] [6] 0.079816385 - 0.079816386 [6] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.36907791 - 0.36907801 [1] [2] 0.44153058 - 0.44153134 [2] [3] 0.31481507 - 0.31481859 [3] [4] 0.14596315 - 0.14595623 [4] [5] 0.10259331 - 0.10259226 [5] [6] 0.08911672 - 0.08911703 [6] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.48900242 - 0.48899985 [1] [2] 0.52280036 - 0.52280052 [2] [3] 0.30491162 - 0.30491287 [3] [4] 0.40295552 - 0.40294877 [4] [5] 0.27569953 - 0.27570046 [5] [6] 0.11103753 - 0.11103799 [6] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.49554985 - 0.49554751 [1] [2] 0.51799763 - 0.51799818 [2] [3] 0.31360685 - 0.31360760 [3] [4] 0.39476872 - 0.39476335 [4] [5] 0.28419455 - 0.28419578 [5] [6] 0.11396843 - 0.11396903 [6] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.321235041 - 0.321227844 [1] [2] 0.366685527 - 0.366684119 [2] [3] 0.216057368 - 0.216059189 [3] [4] 0.285358973 - 0.285346881 [4] [5] 0.098279056 - 0.098277317 [5] [6] 0.059399797 - 0.059399854 [6] actual$seM1$Item12 | expected$seM1$Item12 [1] 0.383353696 - 0.383353830 [1] [2] 0.435659073 - 0.435659161 [2] [3] 0.350389983 - 0.350389910 [3] [4] 0.118222389 - 0.118222686 [4] [5] 0.205472533 - 0.205472732 [5] [6] 0.124614197 - 0.124614214 [6] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.406683762 - 0.406683272 [1] [2] 0.494152562 - 0.494152882 [2] [3] 0.344586841 - 0.344587242 [3] [4] 0.131101410 - 0.131100082 [4] [5] 0.071859854 - 0.071859455 [5] [6] 0.054638786 - 0.054638698 [6] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.518610350 - 0.518609518 [1] [2] 0.545865514 - 0.545866110 [2] [3] 0.324778734 - 0.324778354 [3] [4] 0.450021873 - 0.450022570 [4] [5] 0.381853227 - 0.381854820 [5] [6] 0.134869288 - 0.134869385 [6] actual$seM1$Item16 | expected$seM1$Item16 [1] 0.263698545 - 0.263698513 [1] [2] 0.317694306 - 0.317694305 [2] [3] 0.265000935 - 0.265001108 [3] [4] 0.079289066 - 0.079289074 [4] [5] 0.151292325 - 0.151292374 [5] [6] 0.108903022 - 0.108903021 [6] actual$seM1$Item17 | expected$seM1$Item17 [1] 0.545706311 - 0.545706323 [1] [2] 0.531585025 - 0.531584971 [2] [3] 0.426173825 - 0.426173837 [3] [4] 0.221915650 - 0.221915642 [4] [5] 0.479880463 - 0.479880461 [5] [6] 0.196364919 - 0.196364936 [6] actual$seM1$Item19 | expected$seM1$Item19 [1] 0.293265666 - 0.293265676 [1] [2] 0.345509359 - 0.345509334 [2] [3] 0.277210636 - 0.277210633 [3] [4] 0.110267583 - 0.110267544 [4] [5] 0.156016742 - 0.156016710 [5] [6] 0.104063828 - 0.104063823 [6] actual$seM1$Item20 | expected$seM1$Item20 [1] 0.32800331 - 0.32800310 [1] [2] 0.39582450 - 0.39582415 [2] [3] 0.39184379 - 0.39184352 [3] [4] 0.04796078 - 0.04796115 [4] [5] 0.20022352 - 0.20022404 [5] [6] 0.16242615 - 0.16242629 [6] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item1[1, ] 0.059613422 0.033895622 -0.03788908 0.0013905097 -0.0162713911 -0.0012268606 + expected$covM1$Item1[1, ] 0.059613450 0.033895451 -0.03788849 0.0013905550 -0.0162716520 -0.0012268058 - actual$covM1$Item1[2, ] 0.033895622 0.085074321 -0.05659230 0.0163628933 -0.0200489755 -0.0092489002 + expected$covM1$Item1[2, ] 0.033895451 0.085073738 -0.05659170 0.0163633066 -0.0200493442 -0.0092486969 - actual$covM1$Item1[3, ] -0.037889081 -0.056592301 0.11647076 -0.0140778629 0.0185983480 -0.0191013262 + expected$covM1$Item1[3, ] -0.037888488 -0.056591700 0.11646954 -0.0140781639 0.0185985489 -0.0191014640 - actual$covM1$Item1[4, ] 0.001390510 0.016362893 -0.01407786 0.0045344388 -0.0033524127 -0.0007070077 + expected$covM1$Item1[4, ] 0.001390555 0.016363307 -0.01407816 0.0045346669 -0.0033525866 -0.0007070006 - actual$covM1$Item1[5, ] -0.016271391 -0.020048976 0.01859835 -0.0033524127 0.0069725334 0.0005040654 + expected$covM1$Item1[5, ] -0.016271652 -0.020049344 0.01859855 -0.0033525866 0.0069727816 0.0005040511 - actual$covM1$Item1[6, ] -0.001226861 -0.009248900 -0.01910133 -0.0007070077 0.0005040654 0.0111706553 + expected$covM1$Item1[6, ] -0.001226806 -0.009248697 -0.01910146 -0.0007070006 0.0005040511 0.0111706500 actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item2[1, ] 0.077796459 0.03645455 -0.043232356 0.001053448 -0.0127627154 -0.0023512083 + expected$covM1$Item2[1, ] 0.077795502 0.03645450 -0.043232744 0.001053418 -0.0127624706 -0.0023510213 - actual$covM1$Item2[2, ] 0.036454550 0.10604401 -0.052049933 0.032038926 -0.0158693155 -0.0120182341 + expected$covM1$Item2[2, ] 0.036454501 0.10604361 -0.052049456 0.032037316 -0.0158688601 -0.0120180478 - actual$covM1$Item2[3, ] -0.043232356 -0.05204993 0.087371940 -0.018067592 0.0127413555 -0.0086773373 + expected$covM1$Item2[3, ] -0.043232744 -0.05204946 0.087371628 -0.018066549 0.0127410816 -0.0086773384 - actual$covM1$Item2[4, ] 0.001053448 0.03203893 -0.018067592 0.012749045 -0.0042070053 -0.0025155422 + expected$covM1$Item2[4, ] 0.001053418 0.03203732 -0.018066549 0.012747904 -0.0042066758 -0.0025153879 - actual$covM1$Item2[5, ] -0.012762715 -0.01586932 0.012741355 -0.004207005 0.0037831915 0.0007161761 + expected$covM1$Item2[5, ] -0.012762471 -0.01586886 0.012741082 -0.004206676 0.0037830487 0.0007161043 - actual$covM1$Item2[6, ] -0.002351208 -0.01201823 -0.008677337 -0.002515542 0.0007161761 0.0063373128 + expected$covM1$Item2[6, ] -0.002351021 -0.01201805 -0.008677338 -0.002515388 0.0007161043 0.0063372197 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item3[1, ] 0.274558646 -0.119836257 -0.035376431 -0.214245199 0.0028584342 0.0047904822 + expected$covM1$Item3[1, ] 0.274558970 -0.119836488 -0.035376533 -0.214245549 0.0028584671 0.0047904900 - actual$covM1$Item3[2, ] -0.119836257 0.219567986 0.004694018 0.237608307 -0.0262372950 -0.0015761170 + expected$covM1$Item3[2, ] -0.119836488 0.219567975 0.004694152 0.237608422 -0.0262373422 -0.0015760960 - actual$covM1$Item3[3, ] -0.035376431 0.004694018 0.058701594 0.006219013 0.0039069809 -0.0086821575 + expected$covM1$Item3[3, ] -0.035376533 0.004694152 0.058701605 0.006219180 0.0039069696 -0.0086821686 - actual$covM1$Item3[4, ] -0.214245199 0.237608307 0.006219013 0.297136238 -0.0250393159 -0.0014964566 + expected$covM1$Item3[4, ] -0.214245549 0.237608422 0.006219180 0.297136509 -0.0250393742 -0.0014964408 - actual$covM1$Item3[5, ] 0.002858434 -0.026237295 0.003906981 -0.025039316 0.0043344483 -0.0007122021 + expected$covM1$Item3[5, ] 0.002858467 -0.026237342 0.003906970 -0.025039374 0.0043344625 -0.0007122066 - actual$covM1$Item3[6, ] 0.004790482 -0.001576117 -0.008682158 -0.001496457 -0.0007122021 0.0018751249 + expected$covM1$Item3[6, ] 0.004790490 -0.001576096 -0.008682169 -0.001496441 -0.0007122066 0.0018751276 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item4[1, ] 0.84549182 -0.386584423 -0.117704432 -0.746137161 0.0455763236 0.0113227776 + expected$covM1$Item4[1, ] 0.84551299 -0.386592790 -0.117704873 -0.746164504 0.0455777629 0.0113228784 - actual$covM1$Item4[2, ] -0.38658442 0.322275989 0.054566879 0.489632732 -0.0567960503 -0.0036354969 + expected$covM1$Item4[2, ] -0.38659279 0.322277672 0.054566626 0.489644535 -0.0567963466 -0.0036355950 - actual$covM1$Item4[3, ] -0.11770443 0.054566879 0.077719148 0.090915108 -0.0027904554 -0.0123827419 + expected$covM1$Item4[3, ] -0.11770487 0.054566626 0.077718645 0.090916307 -0.0027904548 -0.0123826952 - actual$covM1$Item4[4, ] -0.74613716 0.489632732 0.090915108 0.816565356 -0.0787108976 -0.0059678961 + expected$covM1$Item4[4, ] -0.74616450 0.489644535 0.090916307 0.816599800 -0.0787128583 -0.0059681281 - actual$covM1$Item4[5, ] 0.04557632 -0.056796050 -0.002790455 -0.078710898 0.0120980439 -0.0007038117 + expected$covM1$Item4[5, ] 0.04557776 -0.056796347 -0.002790455 -0.078712858 0.0120980870 -0.0007037845 - actual$covM1$Item4[6, ] 0.01132278 -0.003635497 -0.012382742 -0.005967896 -0.0007038117 0.0026015487 + expected$covM1$Item4[6, ] 0.01132288 -0.003635595 -0.012382695 -0.005968128 -0.0007037845 0.0026015401 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item7[1, ] 0.266226390 -0.113628936 -0.09733677 -0.174640218 0.009870484 0.013157214 + expected$covM1$Item7[1, ] 0.266226425 -0.113628963 -0.09733680 -0.174640246 0.009870488 0.013157219 - actual$covM1$Item7[2, ] -0.113628936 0.189144178 0.07184296 0.187418784 -0.065339142 0.007629050 + expected$covM1$Item7[2, ] -0.113628963 0.189144194 0.07184299 0.187418802 -0.065339143 0.007629049 - actual$covM1$Item7[3, ] -0.097336770 0.071842961 0.09207350 0.080183884 -0.012665935 -0.015228159 + expected$covM1$Item7[3, ] -0.097336804 0.071842985 0.09207352 0.080183911 -0.012665940 -0.015228159 - actual$covM1$Item7[4, ] -0.174640218 0.187418784 0.08018388 0.208602311 -0.057307786 0.004419499 + expected$covM1$Item7[4, ] -0.174640246 0.187418802 0.08018391 0.208602329 -0.057307786 0.004419496 - actual$covM1$Item7[5, ] 0.009870484 -0.065339142 -0.01266594 -0.057307786 0.028346361 -0.007015564 + expected$covM1$Item7[5, ] 0.009870488 -0.065339143 -0.01266594 -0.057307786 0.028346360 -0.007015564 - actual$covM1$Item7[6, ] 0.013157214 0.007629050 -0.01522816 0.004419499 -0.007015564 0.006370655 + expected$covM1$Item7[6, ] 0.013157219 0.007629049 -0.01522816 0.004419496 -0.007015564 0.006370655 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item8[1, ] 0.136218502 -0.001235056 -0.053713687 -0.017824012 -0.0171252722 0.0074586510 + expected$covM1$Item8[1, ] 0.136218579 -0.001234256 -0.053715336 -0.017823007 -0.0171254796 0.0074588406 - actual$covM1$Item8[2, ] -0.001235056 0.194949253 -0.011393608 0.058562531 -0.0377349679 -0.0153597743 + expected$covM1$Item8[2, ] -0.001234256 0.194949926 -0.011393077 0.058559705 -0.0377344472 -0.0153598188 - actual$covM1$Item8[3, ] -0.053713687 -0.011393608 0.099108526 -0.003505491 0.0128447510 -0.0216943247 + expected$covM1$Item8[3, ] -0.053715336 -0.011393077 0.099110747 -0.003505091 0.0128447970 -0.0216946942 - actual$covM1$Item8[4, ] -0.017824012 0.058562531 -0.003505491 0.021305241 -0.0099115667 -0.0039098979 + expected$covM1$Item8[4, ] -0.017823007 0.058559705 -0.003505091 0.021303220 -0.0099108880 -0.0039097113 - actual$covM1$Item8[5, ] -0.017125272 -0.037734968 0.012844751 -0.009911567 0.0105253874 0.0005679264 + expected$covM1$Item8[5, ] -0.017125480 -0.037734447 0.012844797 -0.009910888 0.0105251721 0.0005678539 - actual$covM1$Item8[6, ] 0.007458651 -0.015359774 -0.021694325 -0.003909898 0.0005679264 0.0079417898 + expected$covM1$Item8[6, ] 0.007458841 -0.015359819 -0.021694694 -0.003909711 0.0005678539 0.0079418455 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item9[1, ] 0.239123371 -0.06928616 -0.056225599 -0.101162393 -0.009468276 0.017689588 + expected$covM1$Item9[1, ] 0.239120856 -0.06928255 -0.056224979 -0.101157900 -0.009470020 0.017689780 - actual$covM1$Item9[2, ] -0.069286157 0.27332021 0.017580346 0.201195253 -0.133705162 0.010979430 + expected$covM1$Item9[2, ] -0.069282553 0.27332038 0.017578806 0.201191918 -0.133705653 0.010978220 - actual$covM1$Item9[3, ] -0.056225599 0.01758035 0.092971095 0.014796410 0.008415156 -0.030345344 + expected$covM1$Item9[3, ] -0.056224979 0.01757881 0.092971856 0.014794857 0.008415998 -0.030345936 - actual$covM1$Item9[4, ] -0.101162393 0.20119525 0.014796410 0.162373154 -0.090638965 0.006810577 + expected$covM1$Item9[4, ] -0.101157900 0.20119192 0.014794857 0.162367712 -0.090637763 0.006809695 - actual$covM1$Item9[5, ] -0.009468276 -0.13370516 0.008415156 -0.090638965 0.076010233 -0.012422354 + expected$covM1$Item9[5, ] -0.009470020 -0.13370565 0.008415998 -0.090637763 0.076010742 -0.012421782 - actual$covM1$Item9[6, ] 0.017689588 0.01097943 -0.030345344 0.006810577 -0.012422354 0.012329332 + expected$covM1$Item9[6, ] 0.017689780 0.01097822 -0.030345936 0.006809695 -0.012421782 0.012329435 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item10[1, ] 0.24556966 -0.070617706 -0.0687493008 -0.101110195 -0.0104017018 0.020551716 + expected$covM1$Item10[1, ] 0.24556733 -0.070614574 -0.0687484772 -0.101106299 -0.0104032534 0.020551878 - actual$covM1$Item10[2, ] -0.07061771 0.268321545 0.0369686850 0.195281001 -0.1361829050 0.007363948 + expected$covM1$Item10[2, ] -0.07061457 0.268322110 0.0369672665 0.195278557 -0.1361836657 0.007362498 - actual$covM1$Item10[3, ] -0.06874930 0.036968685 0.0983492569 0.030270001 0.0002279937 -0.031560778 + expected$covM1$Item10[3, ] -0.06874848 0.036967266 0.0983497281 0.030268369 0.0002287695 -0.031561471 - actual$covM1$Item10[4, ] -0.10111019 0.195281001 0.0302700006 0.155842338 -0.0910459674 0.003847953 + expected$covM1$Item10[4, ] -0.10110630 0.195278557 0.0302683687 0.155838100 -0.0910451913 0.003846980 - actual$covM1$Item10[5, ] -0.01040170 -0.136182905 0.0002279937 -0.091045967 0.0807665433 -0.011532399 + expected$covM1$Item10[5, ] -0.01040325 -0.136183666 0.0002287695 -0.091045191 0.0807672412 -0.011531673 - actual$covM1$Item10[6, ] 0.02055172 0.007363948 -0.0315607775 0.003847953 -0.0115323991 0.012988804 + expected$covM1$Item10[6, ] 0.02055188 0.007362498 -0.0315614708 0.003846980 -0.0115316734 0.012988940 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item11[1, ] 0.103191951 -0.0285861172 -0.019795806 -0.0495201257 -0.005388210 0.0052467928 + expected$covM1$Item11[1, ] 0.103187328 -0.0285812587 -0.019794464 -0.0495142615 -0.005389079 0.0052465622 - actual$covM1$Item11[2, ] -0.028586117 0.1344582758 -0.006160079 0.0971658982 -0.031411360 0.0007178486 + expected$covM1$Item11[2, ] -0.028581259 0.1344572434 -0.006164344 0.0971612630 -0.031410646 0.0007173332 - actual$covM1$Item11[3, ] -0.019795806 -0.0061600790 0.046680786 -0.0051186763 0.006833253 -0.0112627485 + expected$covM1$Item11[3, ] -0.019794464 -0.0061643439 0.046681573 -0.0051219438 0.006834130 -0.0112628070 - actual$covM1$Item11[4, ] -0.049520126 0.0971658982 -0.005118676 0.0814297436 -0.020165751 0.0005752760 + expected$covM1$Item11[4, ] -0.049514262 0.0971612630 -0.005121944 0.0814228427 -0.020164500 0.0005750174 - actual$covM1$Item11[5, ] -0.005388210 -0.0314113596 0.006833253 -0.0201657509 0.009658773 -0.0019031035 + expected$covM1$Item11[5, ] -0.005389079 -0.0314106460 0.006834130 -0.0201644997 0.009658431 -0.0019029235 - actual$covM1$Item11[6, ] 0.005246793 0.0007178486 -0.011262748 0.0005752760 -0.001903103 0.0035283359 + expected$covM1$Item11[6, ] 0.005246562 0.0007173332 -0.011262807 0.0005750174 -0.001902924 0.0035283427 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item12[1, ] 0.1469600563 -0.0001282161 -0.067629904 -0.0140345100 -0.035555796 0.0228327071 + expected$covM1$Item12[1, ] 0.1469601590 -0.0001281867 -0.067629868 -0.0140345386 -0.035555832 0.0228327060 - actual$covM1$Item12[2, ] -0.0001282161 0.1897988276 0.014971604 0.0470148351 -0.077308590 0.0019513743 + expected$covM1$Item12[2, ] -0.0001281867 0.1897989048 0.014971637 0.0470149696 -0.077308699 0.0019513695 - actual$covM1$Item12[3, ] -0.0676299043 0.0149716041 0.122773140 0.0045063732 0.015944190 -0.0401982521 + expected$covM1$Item12[3, ] -0.0676298679 0.0149716369 0.122773089 0.0045063904 0.015944168 -0.0401982522 - actual$covM1$Item12[4, ] -0.0140345100 0.0470148351 0.004506373 0.0139765333 -0.016755820 0.0002152145 + expected$covM1$Item12[4, ] -0.0140345386 0.0470149696 0.004506390 0.0139766034 -0.016755887 0.0002152144 - actual$covM1$Item12[5, ] -0.0355557964 -0.0773085900 0.015944190 -0.0167558198 0.042218962 -0.0093404634 + expected$covM1$Item12[5, ] -0.0355558322 -0.0773086986 0.015944168 -0.0167558871 0.042219043 -0.0093404639 - actual$covM1$Item12[6, ] 0.0228327071 0.0019513743 -0.040198252 0.0002152145 -0.009340463 0.0155286980 + expected$covM1$Item12[6, ] 0.0228327060 0.0019513695 -0.040198252 0.0002152144 -0.009340464 0.0155287024 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item13[1, ] 0.165391682 -2.042327e-02 -0.070782548 -0.0243164572 -0.011951221 9.286960e-03 + expected$covM1$Item13[1, ] 0.165391284 -2.042257e-02 -0.070782578 -0.0243160487 -0.011951256 9.286934e-03 - actual$covM1$Item13[2, ] -0.020423270 2.441868e-01 0.041073274 0.0576426651 -0.027996281 2.518582e-05 + expected$covM1$Item13[2, ] -0.020422568 2.441871e-01 0.041072938 0.0576420715 -0.027996099 2.513946e-05 - actual$covM1$Item13[3, ] -0.070782548 4.107327e-02 0.118740091 0.0114982159 0.004067094 -1.552203e-02 + expected$covM1$Item13[3, ] -0.070782578 4.107294e-02 0.118740367 0.0114980017 0.004067157 -1.552203e-02 - actual$covM1$Item13[4, ] -0.024316457 5.764267e-02 0.011498216 0.0171875797 -0.005492417 -1.914646e-04 + expected$covM1$Item13[4, ] -0.024316049 5.764207e-02 0.011498002 0.0171872316 -0.005492314 -1.914701e-04 - actual$covM1$Item13[5, ] -0.011951221 -2.799628e-02 0.004067094 -0.0054924174 0.005163839 -1.670390e-03 + expected$covM1$Item13[5, ] -0.011951256 -2.799610e-02 0.004067157 -0.0054923137 0.005163781 -1.670377e-03 - actual$covM1$Item13[6, ] 0.009286960 2.518582e-05 -0.015522033 -0.0001914646 -0.001670390 2.985397e-03 + expected$covM1$Item13[6, ] 0.009286934 2.513946e-05 -0.015522032 -0.0001914701 -0.001670377 2.985387e-03 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item15[1, ] 0.26895670 -0.060229838 -0.072078189 -0.103943088 -0.021657707 0.026139369 + expected$covM1$Item15[1, ] 0.26895583 -0.060228689 -0.072077245 -0.103942110 -0.021658259 0.026139184 - actual$covM1$Item15[2, ] -0.06022984 0.297969159 0.038728305 0.236168896 -0.195596883 0.008823899 + expected$covM1$Item15[2, ] -0.06022869 0.297969810 0.038727535 0.236169562 -0.195598024 0.008822249 - actual$covM1$Item15[3, ] -0.07207819 0.038728305 0.105481226 0.034376231 -0.001640420 -0.039372357 + expected$covM1$Item15[3, ] -0.07207725 0.038727535 0.105480979 0.034375452 -0.001640105 -0.039372748 - actual$covM1$Item15[4, ] -0.10394309 0.236168896 0.034376231 0.202519686 -0.144107458 0.005148950 + expected$covM1$Item15[4, ] -0.10394211 0.236169562 0.034375452 0.202520313 -0.144108484 0.005147809 - actual$covM1$Item15[5, ] -0.02165771 -0.195596883 -0.001640420 -0.144107458 0.145811887 -0.016742616 + expected$covM1$Item15[5, ] -0.02165826 -0.195598024 -0.001640105 -0.144108484 0.145813104 -0.016741458 - actual$covM1$Item15[6, ] 0.02613937 0.008823899 -0.039372357 0.005148950 -0.016742616 0.018189725 + expected$covM1$Item15[6, ] 0.02613918 0.008822249 -0.039372748 0.005147809 -0.016741458 0.018189751 actual$covM1$Item16 vs expected$covM1$Item16 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item16[1, ] 0.069536923 -0.0024263118 -0.0355826847 -7.366832e-03 -0.018663077 1.334983e-02 + expected$covM1$Item16[1, ] 0.069536906 -0.0024262422 -0.0355826899 -7.366816e-03 -0.018663099 1.334982e-02 - actual$covM1$Item16[2, ] -0.002426312 0.1009296722 0.0010290874 2.228865e-02 -0.039825966 1.697402e-04 + expected$covM1$Item16[2, ] -0.002426242 0.1009296716 0.0010289591 2.228865e-02 -0.039825988 1.697760e-04 - actual$covM1$Item16[3, ] -0.035582685 0.0010290874 0.0702254957 2.817264e-04 0.012895128 -2.629493e-02 + expected$covM1$Item16[3, ] -0.035582690 0.0010289591 0.0702255872 2.816958e-04 0.012895183 -2.629495e-02 - actual$covM1$Item16[4, ] -0.007366832 0.0222886455 0.0002817264 6.286756e-03 -0.007522313 1.680545e-05 + expected$covM1$Item16[4, ] -0.007366816 0.0222886478 0.0002816958 6.286757e-03 -0.007522319 1.681412e-05 - actual$covM1$Item16[5, ] -0.018663077 -0.0398259662 0.0128951283 -7.522313e-03 0.022889367 -6.073929e-03 + expected$covM1$Item16[5, ] -0.018663099 -0.0398259876 0.0128951835 -7.522319e-03 0.022889382 -6.073941e-03 - actual$covM1$Item16[6, ] 0.013349826 0.0001697402 -0.0262949296 1.680545e-05 -0.006073929 1.185987e-02 + expected$covM1$Item16[6, ] 0.013349819 0.0001697760 -0.0262949466 1.681412e-05 -0.006073941 1.185987e-02 actual$covM1$Item17 vs expected$covM1$Item17 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item17[1, ] 0.29779538 0.05187722 -0.107225170 -0.010408881 -0.138288941 0.057442395 + expected$covM1$Item17[1, ] 0.29779539 0.05187723 -0.107225182 -0.010408878 -0.138288955 0.057442390 - actual$covM1$Item17[2, ] 0.05187722 0.28258264 0.058354366 0.111995666 -0.234563110 0.010232005 + expected$covM1$Item17[2, ] 0.05187723 0.28258258 0.058354355 0.111995650 -0.234563084 0.010231970 - actual$covM1$Item17[3, ] -0.10722517 0.05835437 0.181624129 0.027369576 0.001699504 -0.075508531 + expected$covM1$Item17[3, ] -0.10722518 0.05835435 0.181624140 0.027369576 0.001699512 -0.075508551 - actual$covM1$Item17[4, ] -0.01040888 0.11199567 0.027369576 0.049246556 -0.084766142 0.002080860 + expected$covM1$Item17[4, ] -0.01040888 0.11199565 0.027369576 0.049246552 -0.084766137 0.002080846 - actual$covM1$Item17[5, ] -0.13828894 -0.23456311 0.001699504 -0.084766142 0.230285258 -0.033575540 + expected$covM1$Item17[5, ] -0.13828895 -0.23456308 0.001699512 -0.084766137 0.230285257 -0.033575512 - actual$covM1$Item17[6, ] 0.05744239 0.01023201 -0.075508531 0.002080860 -0.033575540 0.038559181 + expected$covM1$Item17[6, ] 0.05744239 0.01023197 -0.075508551 0.002080846 -0.033575512 0.038559188 actual$covM1$Item19 vs expected$covM1$Item19 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item19[1, ] 0.08600475 -0.01146327 -0.041554943 -0.014395520 -0.017346107 0.015376747 + expected$covM1$Item19[1, ] 0.08600476 -0.01146328 -0.041554942 -0.014395521 -0.017346103 0.015376744 - actual$covM1$Item19[2, ] -0.01146327 0.11937672 0.025664932 0.034086337 -0.045215648 0.015560388 + expected$covM1$Item19[2, ] -0.01146328 0.11937670 0.025664916 0.034086320 -0.045215632 0.015560386 - actual$covM1$Item19[3, ] -0.04155494 0.02566493 0.076845737 0.008457500 0.003751187 -0.018726966 + expected$covM1$Item19[3, ] -0.04155494 0.02566492 0.076845735 0.008457492 0.003751194 -0.018726967 - actual$covM1$Item19[4, ] -0.01439552 0.03408634 0.008457500 0.012158940 -0.010916097 0.003499175 + expected$covM1$Item19[4, ] -0.01439552 0.03408632 0.008457492 0.012158931 -0.010916088 0.003499173 - actual$covM1$Item19[5, ] -0.01734611 -0.04521565 0.003751187 -0.010916097 0.024341224 -0.012245019 + expected$covM1$Item19[5, ] -0.01734610 -0.04521563 0.003751194 -0.010916088 0.024341214 -0.012245016 - actual$covM1$Item19[6, ] 0.01537675 0.01556039 -0.018726966 0.003499175 -0.012245019 0.010829280 + expected$covM1$Item19[6, ] 0.01537674 0.01556039 -0.018726967 0.003499173 -0.012245016 0.010829279 actual$covM1$Item20 vs expected$covM1$Item20 [,1] [,2] [,3] [,4] [,5] [,6] - actual$covM1$Item20[1, ] 0.107586174 -0.005732184 -0.063948312 -0.005578328 -0.030986949 0.024126107 + expected$covM1$Item20[1, ] 0.107586034 -0.005731479 -0.063948041 -0.005578295 -0.030987227 0.024126006 - actual$covM1$Item20[2, ] -0.005732184 0.156677033 -0.014016286 0.016089362 -0.065311518 -0.004387159 + expected$covM1$Item20[2, ] -0.005731479 0.156676760 -0.014016535 0.016089490 -0.065311711 -0.004387221 - actual$covM1$Item20[3, ] -0.063948312 -0.014016286 0.153541557 -0.002022993 0.030595899 -0.057951958 + expected$covM1$Item20[3, ] -0.063948041 -0.014016535 0.153541347 -0.002023046 0.030595966 -0.057951967 - actual$covM1$Item20[4, ] -0.005578328 0.016089362 -0.002022993 0.002300237 -0.005704309 -0.000230970 + expected$covM1$Item20[4, ] -0.005578295 0.016089490 -0.002023046 0.002300272 -0.005704386 -0.000230975 - actual$covM1$Item20[5, ] -0.030986949 -0.065311518 0.030595899 -0.005704309 0.040089457 -0.009144267 + expected$covM1$Item20[5, ] -0.030987227 -0.065311711 0.030595966 -0.005704386 0.040089666 -0.009144215 - actual$covM1$Item20[6, ] 0.024126107 -0.004387159 -0.057951958 -0.000230970 -0.009144267 0.026382253 + expected$covM1$Item20[6, ] 0.024126006 -0.004387221 -0.057951967 -0.000230975 -0.009144215 0.026382300 actual$pval | expected$pval [1] 0.000030907 | 0.000030907 [1] [2] 0.000028271 | 0.000028271 [2] [3] 0.854313404 | 0.854313404 [3] [4] 0.877056801 - 0.877056800 [4] [5] 0.979307639 | 0.979307639 [5] [6] 0.821846545 | 0.821846545 [6] [7] 0.068882259 | 0.068882259 [7] [8] 0.244295030 | 0.244295030 [8] [9] 0.659942901 - 0.659942898 [9] [10] 0.490233952 - 0.490233951 [10] ... ... ... and 10 more ... actual$adj.pval | expected$adj.pval [1] 0.000030907 | 0.000030907 [1] [2] 0.000028271 | 0.000028271 [2] [3] 0.854313404 | 0.854313404 [3] [4] 0.877056801 - 0.877056800 [4] [5] 0.979307639 | 0.979307639 [5] [6] 0.821846545 | 0.821846545 [6] [7] 0.068882259 | 0.068882259 [7] [8] 0.244295030 | 0.244295030 [8] [9] 0.659942901 - 0.659942898 [9] [10] 0.490233952 - 0.490233951 [10] ... ... ... and 10 more ... ── Failure ('test-difNLR.R:134:3'): difNLR - examples at help page ───────────── Expected `fit11` to equal `fit11_expected`. Differences: actual$covM0$Item17 vs expected$covM0$Item17 [,1] [,2] [,3] - actual$covM0$Item17[1, ] 0.17133328 -0.06779894 -0.05066771 + expected$covM0$Item17[1, ] 0.17133329 -0.06779894 -0.05066771 actual$covM0$Item17[2, ] -0.06779894 0.03048674 0.02018952 actual$covM0$Item17[3, ] -0.05066771 0.02018952 0.01527094 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item13[1, ] 0.25126912 -0.089346410 -0.0221235270 0.0232188363 -0.105533787 + expected$covM1$Item13[1, ] 0.25126913 -0.089346412 -0.0221235275 0.0232188371 -0.105533790 - actual$covM1$Item13[2, ] -0.08934641 0.043589127 0.0046938528 -0.0191598192 0.038987025 + expected$covM1$Item13[2, ] -0.08934641 0.043589128 0.0046938531 -0.0191598194 0.038987026 - actual$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188728 + expected$covM1$Item13[3, ] -0.02212353 0.004693853 0.0172176106 0.0007736615 0.006188729 actual$covM1$Item13[4, ] 0.02321884 -0.019159819 0.0007736615 0.0235615332 -0.010317708 - actual$covM1$Item13[5, ] -0.10553379 0.038987025 0.0061887284 -0.0103177077 0.045753707 + expected$covM1$Item13[5, ] -0.10553379 0.038987026 0.0061887286 -0.0103177080 0.045753708 ── Failure ('test-difNLR.R:142:3'): difNLR - examples at help page ───────────── Expected `fit13` to equal `fit13_expected`. Differences: actual$seM1$Item8 | expected$seM1$Item8 [1] 0.730251348 - 0.730251282 [1] [2] 0.206478511 - 0.206478465 [2] [3] 0.098993891 - 0.098993872 [3] [4] 0.148676710 - 0.148676713 [4] [5] 0.424514653 - 0.424514567 [5] `actual$seM1$Item11`: 0.32501675 0.14346310 0.10645695 0.11641692 0.20355305 `expected$seM1$Item11`: 0.32559899 0.14364250 0.10645744 0.11641834 0.20393903 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item8[1, ] 0.533267032 -0.140070238 0.0032524017 -0.0759137666 -0.308653218 + expected$covM1$Item8[1, ] 0.533266935 -0.140070190 0.0032522779 -0.0759137634 -0.308653128 - actual$covM1$Item8[2, ] -0.140070238 0.042633375 -0.0026951353 0.0148389829 0.082131213 + expected$covM1$Item8[2, ] -0.140070190 0.042633357 -0.0026951021 0.0148389789 0.082131176 - actual$covM1$Item8[3, ] 0.003252402 -0.002695135 0.0097997904 0.0004640690 -0.004603230 + expected$covM1$Item8[3, ] 0.003252278 -0.002695102 0.0097997867 0.0004640864 -0.004603157 - actual$covM1$Item8[4, ] -0.075913767 0.014838983 0.0004640690 0.0221047640 0.043974903 + expected$covM1$Item8[4, ] -0.075913763 0.014838979 0.0004640864 0.0221047650 0.043974896 - actual$covM1$Item8[5, ] -0.308653218 0.082131213 -0.0046032297 0.0439749031 0.180212690 + expected$covM1$Item8[5, ] -0.308653128 0.082131176 -0.0046031569 0.0439748964 0.180212618 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] - actual$covM1$Item11[1, ] 0.105635891 -0.034959558 -0.004182288 -0.004802015 -0.064304243 + expected$covM1$Item11[1, ] 0.106014700 -0.035099239 -0.004175992 -0.004813214 -0.064548332 - actual$covM1$Item11[2, ] -0.034959558 0.020581662 -0.002434558 -0.005926206 0.023701478 + expected$covM1$Item11[2, ] -0.035099239 0.020633168 -0.002436879 -0.005922076 0.023791483 - actual$covM1$Item11[3, ] -0.004182288 -0.002434558 0.011333082 0.003230946 -0.001066448 + expected$covM1$Item11[3, ] -0.004175992 -0.002436879 0.011333186 0.003230759 -0.001070505 - actual$covM1$Item11[4, ] -0.004802015 -0.005926206 0.003230946 0.013552898 0.001918524 + expected$covM1$Item11[4, ] -0.004813214 -0.005922076 0.003230759 0.013553229 0.001925740 - actual$covM1$Item11[5, ] -0.064304243 0.023701478 -0.001066448 0.001918524 0.041433845 + expected$covM1$Item11[5, ] -0.064548332 0.023791483 -0.001070505 0.001925740 0.041591126 ── Failure ('test-difNLR.R:377:3'): testing paper code - R Journal 2020 - generated data ── Expected `fit1` to equal `fit1_expected`. Differences: actual$nlrPAR[[1]] | expected$nlrPAR[[1]] [1] -1.919268852 - -1.919268809 [1] [2] 1.483505553 - 1.483505528 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.048786387 - 0.048786382 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[5]] | expected$nlrPAR[[5]] [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] -0.0055204 - -0.0055251 [8] actual$nlrPAR[[6]] | expected$nlrPAR[[6]] [1] 0.767939349 - 0.767939292 [1] [2] 1.457691842 - 1.457691801 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.953766881 - 0.953766893 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[7]] | expected$nlrPAR[[7]] [1] -1.23626545 - -1.23626580 [1] [2] 0.88804637 - 0.88804690 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.63552983 - -1.63554150 [1] [2] 1.16247957 - 1.16247138 [2] [3] -0.85442799 - -0.85441048 [3] [4] -0.11668131 - -0.11667586 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00676848 - 0.00676812 [6] [7] 0.86559097 - 0.86560000 [7] [8] 0.13440903 - 0.13440000 [8] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 1.9819501 - 1.9819175 [1] [2] 1.4818425 - 1.4818210 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0000000 | 0.0000000 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9277421 - 0.9277447 [7] [8] 0.0000000 | 0.0000000 [8] actual$nlrPAR[[11]] | expected$nlrPAR[[11]] [1] 1.100010144 - 1.100010487 [1] [2] 1.071118317 - 1.071118399 [2] [3] 2.324115082 - 2.324099309 [3] [4] 1.172861810 - 1.172854836 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.969003950 - 0.969003883 [7] [8] 0.010566232 - 0.010566922 [8] actual$nlrPAR[[12]] | expected$nlrPAR[[12]] [1] -1.63955438 - -1.63955296 [1] [2] 1.05071702 - 1.05071630 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.07960367 - 0.07960350 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] -1.359766982 - -1.359767080 [1] [2] 1.008622179 - 1.008622224 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.084488301 - 0.084488316 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrPAR[[14]] | expected$nlrPAR[[14]] [1] -1.81408679 - -1.81408981 [1] [2] 1.09344011 - 1.09344166 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.14095464 - 0.14095493 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.4947744 - 0.4947587 [1] [2] 0.8750659 - 0.8750560 [2] [3] -0.2604767 - -0.2604823 [3] [4] 0.2049815 - 0.2049770 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9448528 - 0.9448575 [7] [8] -0.1424618 - -0.1424607 [8] actual$nlrSE[[1]] | expected$nlrSE[[1]] [1] 0.306678421 - 0.306678419 [1] [2] 0.384450287 - 0.384450339 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.036074442 - 0.036074445 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.187373486 - 0.187373509 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 0.54915540 - 0.54916309 [1] [2] 0.84406770 - 0.84407406 [2] [3] 0.65457360 - 0.65457970 [3] [4] 1.04476946 - 1.04477916 [4] [5] 0.30726339 - 0.30725777 [5] [6] 0.34492171 - 0.34491364 [6] [7] 0.04447330 - 0.04447248 [7] [8] 0.09301584 - 0.09301238 [8] actual$nlrSE[[6]] | expected$nlrSE[[6]] [1] 0.244309189 - 0.244309199 [1] [2] 0.402094872 - 0.402094890 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.146861977 - 0.146861982 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.059566415 - 0.059566424 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[7]] | expected$nlrSE[[7]] [1] 0.42785780 - 0.42785740 [1] [2] 0.49197774 - 0.49197745 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.10650364 - 0.10650350 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.48019617 - 0.48019549 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.46605987 - 0.46606108 [1] [2] 0.59512318 - 0.59512240 [2] [3] 0.96379670 - 0.96379959 [3] [4] 0.94805984 - 0.94805937 [4] [5] 0.07087731 - 0.07087774 [5] [6] 0.09147737 - 0.09147791 [6] [7] 0.38583672 - 0.38584847 [7] [8] 1.22691979 - 1.22692695 [8] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.36596727 - 0.36596807 [1] [2] 0.53880414 - 0.53880148 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.35994964 - 0.35995458 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.03944259 - 0.03944350 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrSE[[11]] | expected$nlrSE[[11]] [1] 0.534150761 - 0.534150791 [1] [2] 0.648113915 - 0.648113962 [2] [3] 0.867075677 - 0.867071913 [3] [4] 1.082312041 - 1.082308858 [4] [5] 0.521548300 - 0.521548354 [5] [6] 0.659580832 - 0.659580446 [6] [7] 0.105250889 - 0.105250858 [7] [8] 0.109353679 - 0.109353674 [8] actual$nlrSE[[12]] | expected$nlrSE[[12]] [1] 0.437683871 - 0.437683975 [1] [2] 0.518101638 - 0.518101581 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.069033171 - 0.069033277 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.438139683 - 0.438139948 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.426919525 - 0.426919518 [1] [2] 0.521107931 - 0.521107889 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.085772962 - 0.085772946 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.399392015 - 0.399391982 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[14]] | expected$nlrSE[[14]] [1] 0.503724206 - 0.503724008 [1] [2] 0.591103588 - 0.591103524 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.063854830 - 0.063854624 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.477404262 - 0.477403468 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.7281699 - 0.7281753 [1] [2] 0.8488077 - 0.8488101 [2] [3] 0.9085928 - 0.9085989 [3] [4] 1.1464332 - 1.1464343 [4] [5] 0.6082345 - 0.6082423 [5] [6] 0.6693448 - 0.6693534 [6] [7] 0.2471840 - 0.2471916 [7] [8] 0.3043555 - 0.3043653 [8] `actual$parM0$Item1`: -1.919268852 1.483505553 0.048786387 1.000000000 `expected$parM0$Item1`: -1.919268809 1.483505528 0.048786382 1.000000000 `actual$parM0$Item5`: 1.232878141 1.514612611 0.000000000 0.871219470 `expected$parM0$Item5`: 1.232877680 1.514612442 0.000000000 0.871219535 `actual$parM0$Item6`: 0.767939349 1.457691842 0.000000000 0.953766881 `expected$parM0$Item6`: 0.767939292 1.457691801 0.000000000 0.953766893 `actual$parM0$Item7`: -1.23626545 0.88804637 0.00000000 1.00000000 `expected$parM0$Item7`: -1.23626580 0.88804690 0.00000000 1.00000000 `actual$parM0$Item8`: -2.04224668 1.00313832 0.00000000 1.00000000 `expected$parM0$Item8`: -2.04224686 1.00313853 0.00000000 1.00000000 `actual$parM0$Item9`: 1.9819501 1.4818425 0.0000000 0.9277421 `expected$parM0$Item9`: 1.9819175 1.4818210 0.0000000 0.9277447 `actual$parM0$Item11`: 2.071246156 1.476717870 0.000000000 0.947760051 `expected$parM0$Item11`: 2.071244548 1.476716024 0.000000000 0.947760133 `actual$parM0$Item12`: -1.63955438 1.05071702 0.07960367 1.00000000 `expected$parM0$Item12`: -1.63955296 1.05071630 0.07960350 1.00000000 `actual$parM0$Item13`: -1.359766982 1.008622179 0.084488301 1.000000000 `expected$parM0$Item13`: -1.359767080 1.008622224 0.084488316 1.000000000 `actual$parM0$Item14`: -1.81408679 1.09344011 0.14095464 1.00000000 `expected$parM0$Item14`: -1.81408981 1.09344166 0.14095493 1.00000000 `actual$parM0$Item15`: 0.409635301 0.994839602 0.000000000 0.865280941 `expected$parM0$Item15`: 0.409634989 0.994839800 0.000000000 0.865281015 `actual$seM0$Item1`: 0.306678421 0.384450287 0.036074442 0.187373486 `expected$seM0$Item1`: 0.306678419 0.384450339 0.036074445 0.187373509 `actual$seM0$Item5`: 0.304514975 0.493226339 0.194402286 0.051007357 `expected$seM0$Item5`: 0.304514933 0.493226262 0.194402274 0.051007369 `actual$seM0$Item6`: 0.244309189 0.402094872 0.146861977 0.059566415 `expected$seM0$Item6`: 0.244309199 0.402094890 0.146861982 0.059566424 `actual$seM0$Item7`: 0.42785780 0.49197774 0.10650364 0.48019617 `expected$seM0$Item7`: 0.42785740 0.49197745 0.10650350 0.48019549 `actual$seM0$Item8`: 0.467445670 0.465413142 0.052095431 0.612798580 `expected$seM0$Item8`: 0.467445473 0.465413059 0.052095410 0.612798273 `actual$seM0$Item9`: 0.36596727 0.53880414 0.35994964 0.03944259 `expected$seM0$Item9`: 0.36596807 0.53880148 0.35995458 0.03944350 `actual$seM0$Item11`: 0.363926478 0.526273514 0.382432069 0.037293680 `expected$seM0$Item11`: 0.363926904 0.526273633 0.382433014 0.037293744 `actual$seM0$Item12`: 0.437683871 0.518101638 0.069033171 0.438139683 `expected$seM0$Item12`: 0.437683975 0.518101581 0.069033277 0.438139948 `actual$seM0$Item13`: 0.426919525 0.521107931 0.085772962 0.399392015 `expected$seM0$Item13`: 0.426919518 0.521107889 0.085772946 0.399391982 `actual$seM0$Item14`: 0.503724206 0.591103588 0.063854830 0.477404262 `expected$seM0$Item14`: 0.503724008 0.591103524 0.063854624 0.477403468 `actual$seM0$Item15`: 0.429218673 0.565195422 0.284899677 0.138812073 `expected$seM0$Item15`: 0.429218501 0.565195232 0.284899461 0.138812042 actual$covM0$Item1 vs expected$covM0$Item1 [,1] [,2] [,3] [,4] - actual$covM0$Item1[1, ] 0.0940516536 -0.06062457 -0.008213435 0.0005695570 + expected$covM0$Item1[1, ] 0.0940516524 -0.06062458 -0.008213436 0.0005695592 - actual$covM0$Item1[2, ] -0.0606245691 0.14780202 0.011029920 -0.0600486747 + expected$covM0$Item1[2, ] -0.0606245756 0.14780206 0.011029924 -0.0600486926 - actual$covM0$Item1[3, ] -0.0082134354 0.01102992 0.001301365 -0.0036034232 + expected$covM0$Item1[3, ] -0.0082134359 0.01102992 0.001301366 -0.0036034245 - actual$covM0$Item1[4, ] 0.0005695570 -0.06004867 -0.003603423 0.0351088232 + expected$covM0$Item1[4, ] 0.0005695592 -0.06004869 -0.003603425 0.0351088318 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.092729370 0.02218341 -0.018079145 -0.008216770 + expected$covM0$Item5[1, ] 0.092729344 0.02218336 -0.018079156 -0.008216768 - actual$covM0$Item5[2, ] 0.022183413 0.24327222 0.083423481 -0.019990230 + expected$covM0$Item5[2, ] 0.022183362 0.24327215 0.083423465 -0.019990232 - actual$covM0$Item5[3, ] -0.018079145 0.08342348 0.037792249 -0.005582864 + expected$covM0$Item5[3, ] -0.018079156 0.08342347 0.037792244 -0.005582865 - actual$covM0$Item5[4, ] -0.008216770 -0.01999023 -0.005582864 0.002601750 + expected$covM0$Item5[4, ] -0.008216768 -0.01999023 -0.005582865 0.002601752 actual$covM0$Item6 vs expected$covM0$Item6 [,1] [,2] [,3] [,4] - actual$covM0$Item6[1, ] 0.059686980 0.003842519 -0.014247831 -0.006666568 + expected$covM0$Item6[1, ] 0.059686985 0.003842527 -0.014247830 -0.006666570 - actual$covM0$Item6[2, ] 0.003842519 0.161680286 0.051246077 -0.019386338 + expected$covM0$Item6[2, ] 0.003842527 0.161680300 0.051246081 -0.019386343 - actual$covM0$Item6[3, ] -0.014247831 0.051246077 0.021568440 -0.005019625 + expected$covM0$Item6[3, ] -0.014247830 0.051246081 0.021568442 -0.005019627 - actual$covM0$Item6[4, ] -0.006666568 -0.019386338 -0.005019625 0.003548158 + expected$covM0$Item6[4, ] -0.006666570 -0.019386343 -0.005019627 0.003548159 actual$covM0$Item7 vs expected$covM0$Item7 [,1] [,2] [,3] [,4] - actual$covM0$Item7[1, ] 0.183062296 0.03715680 -0.006749282 -0.10684805 + expected$covM0$Item7[1, ] 0.183061953 0.03715657 -0.006749311 -0.10684767 - actual$covM0$Item7[2, ] 0.037156804 0.24204210 0.048253133 -0.21805732 + expected$covM0$Item7[2, ] 0.037156566 0.24204181 0.048253035 -0.21805685 - actual$covM0$Item7[3, ] -0.006749282 0.04825313 0.011343025 -0.03869598 + expected$covM0$Item7[3, ] -0.006749311 0.04825303 0.011342995 -0.03869586 - actual$covM0$Item7[4, ] -0.106848045 -0.21805732 -0.038695983 0.23058837 + expected$covM0$Item7[4, ] -0.106847672 -0.21805685 -0.038695864 0.23058771 actual$covM0$Item8 vs expected$covM0$Item8 [,1] [,2] [,3] [,4] - actual$covM0$Item8[1, ] 0.218505454 0.06208626 -0.001320037 -0.18111318 + expected$covM0$Item8[1, ] 0.218505270 0.06208614 -0.001320047 -0.18111294 - actual$covM0$Item8[2, ] 0.062086262 0.21660939 0.021651508 -0.26088664 + expected$covM0$Item8[2, ] 0.062086137 0.21660932 0.021651495 -0.26088645 - actual$covM0$Item8[3, ] -0.001320037 0.02165151 0.002713934 -0.02284838 + expected$covM0$Item8[3, ] -0.001320047 0.02165149 0.002713932 -0.02284835 - actual$covM0$Item8[4, ] -0.181113184 -0.26088664 -0.022848376 0.37552210 + expected$covM0$Item8[4, ] -0.181112935 -0.26088645 -0.022848354 0.37552172 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] - actual$covM0$Item9[1, ] 0.133932046 0.009809339 -0.049576389 -0.006149387 + expected$covM0$Item9[1, ] 0.133932631 0.009803413 -0.049580436 -0.006149203 - actual$covM0$Item9[2, ] 0.009809339 0.290309899 0.173148946 -0.016907163 + expected$covM0$Item9[2, ] 0.009803413 0.290307040 0.173150779 -0.016907567 - actual$covM0$Item9[3, ] -0.049576389 0.173148946 0.129563743 -0.008359778 + expected$covM0$Item9[3, ] -0.049580436 0.173150779 0.129567298 -0.008360168 - actual$covM0$Item9[4, ] -0.006149387 -0.016907163 -0.008359778 0.001555718 + expected$covM0$Item9[4, ] -0.006149203 -0.016907567 -0.008360168 0.001555790 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] [,4] - actual$covM0$Item11[1, ] 0.132442481 0.002754336 -0.056383563 -0.005360472 + expected$covM0$Item11[1, ] 0.132442791 0.002753742 -0.056384124 -0.005360453 - actual$covM0$Item11[2, ] 0.002754336 0.276963812 0.180266093 -0.015622068 + expected$covM0$Item11[2, ] 0.002753742 0.276963937 0.180266613 -0.015622106 - actual$covM0$Item11[3, ] -0.056383563 0.180266093 0.146254287 -0.008448745 + expected$covM0$Item11[3, ] -0.056384124 0.180266613 0.146255011 -0.008448788 - actual$covM0$Item11[4, ] -0.005360472 -0.015622068 -0.008448745 0.001390819 + expected$covM0$Item11[4, ] -0.005360453 -0.015622106 -0.008448788 0.001390823 actual$covM0$Item12 vs expected$covM0$Item12 [,1] [,2] [,3] [,4] - actual$covM0$Item12[1, ] 0.191567171 0.002397711 -0.010013695 -0.07972811 + expected$covM0$Item12[1, ] 0.191567262 0.002397913 -0.010013687 -0.07972831 - actual$covM0$Item12[2, ] 0.002397711 0.268429307 0.031745764 -0.20454872 + expected$covM0$Item12[2, ] 0.002397913 0.268429248 0.031745814 -0.20454884 - actual$covM0$Item12[3, ] -0.010013695 0.031745764 0.004765579 -0.02092361 + expected$covM0$Item12[3, ] -0.010013687 0.031745814 0.004765593 -0.02092366 - actual$covM0$Item12[4, ] -0.079728107 -0.204548723 -0.020923609 0.19196638 + expected$covM0$Item12[4, ] -0.079728306 -0.204548839 -0.020923659 0.19196661 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.182260281 0.001025277 -0.012256093 -0.06825178 + expected$covM0$Item13[1, ] 0.182260274 0.001025282 -0.012256091 -0.06825178 - actual$covM0$Item13[2, ] 0.001025277 0.271553476 0.040175884 -0.18833999 + expected$covM0$Item13[2, ] 0.001025282 0.271553432 0.040175872 -0.18833995 - actual$covM0$Item13[3, ] -0.012256093 0.040175884 0.007357001 -0.02425908 + expected$covM0$Item13[3, ] -0.012256091 0.040175872 0.007356998 -0.02425907 - actual$covM0$Item13[4, ] -0.068251781 -0.188339986 -0.024259077 0.15951398 + expected$covM0$Item13[4, ] -0.068251782 -0.188339952 -0.024259069 0.15951396 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] [,4] - actual$covM0$Item14[1, ] 0.253738076 -0.006413722 -0.011665965 -0.09530079 + expected$covM0$Item14[1, ] 0.253737876 -0.006414399 -0.011665992 -0.09530019 - actual$covM0$Item14[2, ] -0.006413722 0.349403452 0.033102518 -0.25297742 + expected$covM0$Item14[2, ] -0.006414399 0.349403377 0.033102394 -0.25297691 - actual$covM0$Item14[3, ] -0.011665965 0.033102518 0.004077439 -0.02059410 + expected$covM0$Item14[3, ] -0.011665992 0.033102394 0.004077413 -0.02059398 - actual$covM0$Item14[4, ] -0.095300786 -0.252977421 -0.020594102 0.22791483 + expected$covM0$Item14[4, ] -0.095300189 -0.252976908 -0.020593982 0.22791407 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.184228670 -0.07225212 -0.07462452 -0.005053716 + expected$covM0$Item15[1, ] 0.184228521 -0.07225200 -0.07462441 -0.005053736 - actual$covM0$Item15[2, ] -0.072252124 0.31944587 0.14861310 -0.070362019 + expected$covM0$Item15[2, ] -0.072252000 0.31944565 0.14861293 -0.070361976 - actual$covM0$Item15[3, ] -0.074624519 0.14861310 0.08116783 -0.028685416 + expected$covM0$Item15[3, ] -0.074624413 0.14861293 0.08116770 -0.028685383 - actual$covM0$Item15[4, ] -0.005053716 -0.07036202 -0.02868542 0.019268792 + expected$covM0$Item15[4, ] -0.005053736 -0.07036198 -0.02868538 0.019268783 actual$parM1$Item1 | expected$parM1$Item1 [1] -1.90929015 - -1.90928345 [1] [2] 1.64049130 - 1.64048699 [2] [3] -0.20081739 - -0.20083007 [3] [4] 0.40777652 - 0.40778961 [4] [5] 0.05405268 - 0.05405210 [5] [6] 0.02192026 - 0.02192116 [6] [7] 1.00000000 | 1.00000000 [7] [8] -0.25867734 - -0.25867837 [8] actual$parM1$Item5 | expected$parM1$Item5 [1] 2.2538570 - 2.2538944 [1] [2] 1.9645552 - 1.9645865 [2] [3] -1.6647861 - -1.6648021 [3] [4] -0.4075996 - -0.4075863 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0225104 - 0.0225164 [6] [7] 0.8676096 - 0.8676076 [7] [8] -0.0055204 - -0.0055251 [8] actual$parM1$Item6 | expected$parM1$Item6 [1] 0.945660582 - 0.945660646 [1] [2] 1.419521001 - 1.419521062 [2] [3] -0.313224103 - -0.313224107 [3] [4] 0.310991986 - 0.310991767 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.058811343 - 0.058811298 [6] [7] 0.880409668 - 0.880409657 [7] [8] 0.119590332 - 0.119590343 [8] actual$parM1$Item7 | expected$parM1$Item7 [1] -1.313996673 - -1.313996743 [1] [2] 0.820933135 - 0.820933253 [2] [3] 0.153415204 - 0.153415264 [3] [4] 0.139597780 - 0.139597674 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 1.000000000 | 1.000000000 [7] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.63552983 - -1.63554150 [1] [2] 1.16247957 - 1.16247138 [2] [3] -0.85442799 - -0.85441048 [3] [4] -0.11668131 - -0.11667586 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00676848 - 0.00676812 [6] [7] 0.86559097 - 0.86560000 [7] [8] 0.13440903 - 0.13440000 [8] actual$parM1$Item9 | expected$parM1$Item9 [1] 2.0292178 - 2.0291994 [1] [2] 1.5870281 - 1.5870152 [2] [3] -0.0043324 - -0.0042984 [3] [4] -0.1294808 - -0.1294579 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9081880 - 0.9081894 [7] [8] 0.0330801 - 0.0330775 [8] actual$parM1$Item10 | expected$parM1$Item10 [1] 0.726953237 - 0.726952670 [1] [2] 1.480260172 - 1.480260729 [2] [3] 0.190258291 - 0.190258956 [3] [4] -0.152291973 - -0.152292435 [4] [5] 0.004353361 - 0.004353699 [5] [6] -0.004353361 - -0.004353699 [6] [7] 0.948339321 - 0.948339307 [7] [8] 0.026509399 - 0.026509394 [8] actual$parM1$Item11 | expected$parM1$Item11 [1] 1.100010144 - 1.100010487 [1] [2] 1.071118317 - 1.071118399 [2] [3] 2.324115082 - 2.324099309 [3] [4] 1.172861810 - 1.172854836 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.969003950 - 0.969003883 [7] [8] 0.010566232 - 0.010566922 [8] actual$parM1$Item12 | expected$parM1$Item12 [1] -1.83982259 - -1.83982409 [1] [2] 1.06770284 - 1.06770308 [2] [3] 0.49283543 - 0.49284485 [3] [4] -0.07781130 - -0.07781537 [4] [5] 0.06380438 - 0.06380456 [5] [6] 0.01697194 - 0.01697057 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$parM1$Item13 | expected$parM1$Item13 [1] -1.1061016 - -1.1060757 [1] [2] 0.9611492 - 0.9611378 [2] [3] -0.5411758 - -0.5411974 [3] [4] 0.1163717 - 0.1163820 [4] [5] 0.0597237 - 0.0597188 [5] [6] 0.0444403 - 0.0444447 [6] [7] 1.0000000 | 1.0000000 [7] [8] 0.0000000 | 0.0000000 [8] actual$parM1$Item14 | expected$parM1$Item14 [1] -1.47100850 - -1.47101229 [1] [2] 0.80324979 - 0.80325053 [2] [3] -0.83925484 - -0.83907990 [3] [4] 0.72275150 - 0.72264467 [4] [5] 0.09422996 - 0.09423054 [5] [6] 0.08551748 - 0.08550778 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] actual$parM1$Item15 | expected$parM1$Item15 [1] 0.4947744 - 0.4947587 [1] [2] 0.8750659 - 0.8750560 [2] [3] -0.2604767 - -0.2604823 [3] [4] 0.2049815 - 0.2049770 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9448528 - 0.9448575 [7] [8] -0.1424618 - -0.1424607 [8] actual$seM1$Item1 | expected$seM1$Item1 [1] 0.424596035 - 0.424595119 [1] [2] 0.548897953 - 0.548897284 [2] [3] 0.723580549 - 0.723581673 [3] [4] 0.934744332 - 0.934746051 [4] [5] 0.048663048 - 0.048663266 [5] [6] 0.060416893 - 0.060416984 [6] [7] 0.213475367 - 0.213475868 [7] [8] 0.254307784 - 0.254307782 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 0.440195514 - 0.440195511 [1] [2] 0.541812299 - 0.541812298 [2] [3] 0.680132578 - 0.680132551 [3] [4] 0.771896629 - 0.771896611 [4] [5] 0.052217412 | 0.052217412 [5] [6] 0.061351682 | 0.061351682 [6] [7] 0.451801109 - 0.451801105 [7] [8] 0.581465196 - 0.581465199 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 0.54915540 - 0.54916309 [1] [2] 0.84406770 - 0.84407406 [2] [3] 0.65457360 - 0.65457970 [3] [4] 1.04476946 - 1.04477916 [4] [5] 0.30726339 - 0.30725777 [5] [6] 0.34492171 - 0.34491364 [6] [7] 0.04447330 - 0.04447248 [7] [8] 0.09301584 - 0.09301238 [8] actual$seM1$Item6 | expected$seM1$Item6 [1] 0.411903273 | 0.411903273 [1] [2] 0.656807546 - 0.656807484 [2] [3] 0.506972633 - 0.506972678 [3] [4] 0.850207590 - 0.850207391 [4] [5] 0.262132360 - 0.262132335 [5] [6] 0.292580286 - 0.292580260 [6] [7] 0.083673043 - 0.083673032 [7] [8] 0.109324620 - 0.109324606 [8] actual$seM1$Item7 | expected$seM1$Item7 [1] 0.784107084 - 0.784106907 [1] [2] 0.821897288 - 0.821897247 [2] [3] 0.928791769 - 0.928791593 [3] [4] 1.022618129 - 1.022618157 [4] [5] 0.180769488 - 0.180769442 [5] [6] 0.221557689 - 0.221557676 [6] [7] 0.980454441 - 0.980454221 [7] [8] 1.095622142 - 1.095622058 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.46605987 - 0.46606108 [1] [2] 0.59512318 - 0.59512240 [2] [3] 0.96379670 - 0.96379959 [3] [4] 0.94805984 - 0.94805937 [4] [5] 0.07087731 - 0.07087774 [5] [6] 0.09147737 - 0.09147791 [6] [7] 0.38583672 - 0.38584847 [7] [8] 1.22691979 - 1.22692695 [8] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.50473674 - 0.50473638 [1] [2] 0.77535830 - 0.77535595 [2] [3] 0.72965225 - 0.72966167 [3] [4] 1.08404303 - 1.08404336 [4] [5] 0.44917633 - 0.44918001 [5] [6] 0.70279792 - 0.70279951 [6] [7] 0.05187092 - 0.05187156 [7] [8] 0.07621787 - 0.07621774 [8] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.351055135 - 0.351055765 [1] [2] 0.581605244 - 0.581607061 [2] [3] 0.516361432 - 0.516361846 [3] [4] 0.823666328 - 0.823667368 [4] [5] 0.206605749 - 0.206606165 [5] [6] 0.343638899 - 0.343639068 [6] [7] 0.085395181 - 0.085395124 [7] [8] 0.123585019 - 0.123584904 [8] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.534150761 - 0.534150791 [1] [2] 0.648113915 - 0.648113962 [2] [3] 0.867075677 - 0.867071913 [3] [4] 1.082312041 - 1.082308858 [4] [5] 0.521548300 - 0.521548354 [5] [6] 0.659580832 - 0.659580446 [6] [7] 0.105250889 - 0.105250858 [7] [8] 0.109353679 - 0.109353674 [8] actual$seM1$Item12 | expected$seM1$Item12 [1] 0.682150132 - 0.682150557 [1] [2] 0.799717924 - 0.799718399 [2] [3] 0.892106898 - 0.892107588 [3] [4] 1.054422301 - 1.054423464 [4] [5] 0.094446754 - 0.094446680 [5] [6] 0.148434752 - 0.148435651 [6] [7] 0.761115843 - 0.761116495 [7] [8] 0.933508363 - 0.933510418 [8] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.58892458 - 0.58892604 [1] [2] 0.74271982 - 0.74272025 [2] [3] 0.85529308 - 0.85529361 [3] [4] 1.04313279 - 1.04313238 [4] [5] 0.15796018 - 0.15796551 [5] [6] 0.18275228 - 0.18275700 [6] [7] 0.54514222 - 0.54514767 [7] [8] 0.78932452 - 0.78932785 [8] actual$seM1$Item14 | expected$seM1$Item14 [1] 1.13583878 - 1.13584061 [1] [2] 1.06408310 - 1.06408399 [2] [3] 1.31552967 - 1.31551318 [3] [4] 1.30508842 - 1.30507987 [4] [5] 0.19054395 - 0.19054330 [5] [6] 0.19681496 - 0.19681563 [6] [7] 1.34401433 - 1.34401613 [7] [8] 1.38863091 - 1.38863977 [8] actual$seM1$Item15 | expected$seM1$Item15 [1] 0.7281699 - 0.7281753 [1] [2] 0.8488077 - 0.8488101 [2] [3] 0.9085928 - 0.9085989 [3] [4] 1.1464332 - 1.1464343 [4] [5] 0.6082345 - 0.6082423 [5] [6] 0.6693448 - 0.6693534 [6] [7] 0.2471840 - 0.2471916 [7] [8] 0.3043555 - 0.3043653 [8] actual$covM1$Item1 vs expected$covM1$Item1 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item1[1, ] 0.180281793 -0.14220880 -0.180281801 0.14220882 -0.016297838 0.016297839 0.009434399 -0.009434401 + expected$covM1$Item1[1, ] 0.180281015 -0.14220773 -0.180281009 0.14220771 -0.016297862 0.016297862 0.009434185 -0.009434189 - actual$covM1$Item1[2, ] -0.142208800 0.30128896 0.142208816 -0.30128897 0.020886691 -0.020886691 -0.095682925 0.095682923 + expected$covM1$Item1[2, ] -0.142207726 0.30128823 0.142207709 -0.30128820 0.020886785 -0.020886784 -0.095683095 0.095683097 - actual$covM1$Item1[3, ] -0.180281801 0.14220882 0.523568811 -0.46372619 0.016297839 -0.032478909 -0.009434403 0.024788505 + expected$covM1$Item1[3, ] -0.180281009 0.14220771 0.523570437 -0.46372828 0.016297861 -0.032478908 -0.009434179 0.024788422 - actual$covM1$Item1[4, ] 0.142208818 -0.30128897 -0.463726194 0.87374697 -0.020886692 0.039021930 0.095682924 -0.174960492 + expected$covM1$Item1[4, ] 0.142207708 -0.30128820 -0.463728282 0.87375018 -0.020886783 0.039021964 0.095683090 -0.174960398 - actual$covM1$Item1[5, ] -0.016297838 0.02088669 0.016297839 -0.02088669 0.002368092 -0.002368092 -0.005292538 0.005292538 + expected$covM1$Item1[5, ] -0.016297862 0.02088678 0.016297861 -0.02088678 0.002368113 -0.002368113 -0.005292587 0.005292587 - actual$covM1$Item1[6, ] 0.016297839 -0.02088669 -0.032478909 0.03902193 -0.002368092 0.003650201 0.005292538 -0.007160537 + expected$covM1$Item1[6, ] 0.016297862 -0.02088678 -0.032478908 0.03902196 -0.002368113 0.003650212 0.005292586 -0.007160560 - actual$covM1$Item1[7, ] 0.009434399 -0.09568292 -0.009434403 0.09568292 -0.005292538 0.005292538 0.045571732 -0.045571731 + expected$covM1$Item1[7, ] 0.009434185 -0.09568310 -0.009434179 0.09568309 -0.005292587 0.005292586 0.045571946 -0.045571946 - actual$covM1$Item1[8, ] -0.009434401 0.09568292 0.024788505 -0.17496049 0.005292538 -0.007160537 -0.045571731 0.064672449 + expected$covM1$Item1[8, ] -0.009434189 0.09568310 0.024788422 -0.17496040 0.005292587 -0.007160560 -0.045571946 0.064672448 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648306 -0.012481388 0.012481388 -0.04274783 0.04274783 + expected$covM1$Item3[1, ] 0.19377209 -0.05648306 -0.19377209 0.05648307 -0.012481388 0.012481389 -0.04274783 0.04274783 - actual$covM1$Item3[2, ] -0.05648306 0.29356057 0.05648305 -0.29356058 0.024052293 -0.024052293 -0.21619777 0.21619778 + expected$covM1$Item3[2, ] -0.05648306 0.29356057 0.05648305 -0.29356057 0.024052293 -0.024052293 -0.21619777 0.21619777 - actual$covM1$Item3[3, ] -0.19377209 0.05648305 0.46258032 -0.22687772 0.012481388 -0.024789301 0.04274784 -0.02494489 + expected$covM1$Item3[3, ] -0.19377209 0.05648305 0.46258029 -0.22687769 0.012481387 -0.024789299 0.04274784 -0.02494490 - actual$covM1$Item3[4, ] 0.05648306 -0.29356058 -0.22687772 0.59582441 -0.024052294 0.037360620 0.21619778 -0.38386284 + expected$covM1$Item3[4, ] 0.05648307 -0.29356057 -0.22687769 0.59582438 -0.024052293 0.037360619 0.21619777 -0.38386284 actual$covM1$Item3[5, ] -0.01248139 0.02405229 0.01248139 -0.02405229 0.002726658 -0.002726658 -0.01500150 0.01500150 actual$covM1$Item3[6, ] 0.01248139 -0.02405229 -0.02478930 0.03736062 -0.002726658 0.003764029 0.01500150 -0.02091492 - actual$covM1$Item3[7, ] -0.04274783 -0.21619777 0.04274784 0.21619778 -0.015001498 0.015001498 0.20412424 -0.20412425 + expected$covM1$Item3[7, ] -0.04274783 -0.21619777 0.04274784 0.21619777 -0.015001498 0.015001498 0.20412424 -0.20412424 - actual$covM1$Item3[8, ] 0.04274783 0.21619778 -0.02494489 -0.38386284 0.015001498 -0.020914916 -0.20412425 0.33810177 + expected$covM1$Item3[8, ] 0.04274783 0.21619777 -0.02494490 -0.38386284 0.015001498 -0.020914916 -0.20412424 0.33810178 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 0.30157166 0.26588435 -0.301571646 -0.26588439 0.014151149 -0.014151157 -0.017895029 0.017895029 + expected$covM1$Item5[1, ] 0.30158010 0.26590043 -0.301580090 -0.26590045 0.014154934 -0.014154939 -0.017895100 0.017895099 - actual$covM1$Item5[2, ] 0.26588435 0.71245028 -0.265884325 -0.71245037 0.217326908 -0.217326927 -0.026568290 0.026568289 + expected$covM1$Item5[2, ] 0.26590043 0.71246101 -0.265900397 -0.71246105 0.217323877 -0.217323891 -0.026567789 0.026567786 - actual$covM1$Item5[3, ] -0.30157165 -0.26588432 0.428466601 0.28114910 -0.014151140 -0.006631521 0.017895028 -0.032468198 + expected$covM1$Item5[3, ] -0.30158009 -0.26590040 0.428474586 0.28117118 -0.014154923 -0.006625789 0.017895099 -0.032468278 - actual$covM1$Item5[4, ] -0.26588439 -0.71245037 0.281149104 1.09154322 -0.217326933 0.299753271 0.026568293 -0.066144719 + expected$covM1$Item5[4, ] -0.26590045 -0.71246105 0.281171183 1.09156349 -0.217323888 0.299747189 0.026567790 -0.066142597 - actual$covM1$Item5[5, ] 0.01415115 0.21732691 -0.014151140 -0.21732693 0.094410792 -0.094410797 -0.006384210 0.006384210 + expected$covM1$Item5[5, ] 0.01415493 0.21732388 -0.014154923 -0.21732389 0.094407337 -0.094407341 -0.006383889 0.006383888 - actual$covM1$Item5[6, ] -0.01415116 -0.21732693 -0.006631521 0.29975327 -0.094410797 0.118970984 0.006384211 -0.013318215 + expected$covM1$Item5[6, ] -0.01415494 -0.21732389 -0.006625789 0.29974719 -0.094407341 0.118965422 0.006383889 -0.013317136 - actual$covM1$Item5[7, ] -0.01789503 -0.02656829 0.017895028 0.02656829 -0.006384210 0.006384211 0.001977874 -0.001977874 + expected$covM1$Item5[7, ] -0.01789510 -0.02656779 0.017895099 0.02656779 -0.006383889 0.006383889 0.001977802 -0.001977802 - actual$covM1$Item5[8, ] 0.01789503 0.02656829 -0.032468198 -0.06614472 0.006384210 -0.013318215 -0.001977874 0.008651946 + expected$covM1$Item5[8, ] 0.01789510 0.02656779 -0.032468278 -0.06614260 0.006383888 -0.013317136 -0.001977802 0.008651303 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item6[1, ] 0.169664307 0.002710250 -0.169664299 -0.002710221 -0.04611905 0.04611906 -0.014431574 0.014431572 + expected$covM1$Item6[1, ] 0.169664307 0.002710252 -0.169664314 -0.002710253 -0.04611905 0.04611905 -0.014431574 0.014431574 - actual$covM1$Item6[2, ] 0.002710250 0.431396152 -0.002710279 -0.431396157 0.15015989 -0.15015989 -0.045104904 0.045104908 + expected$covM1$Item6[2, ] 0.002710252 0.431396071 -0.002710244 -0.431396039 0.15015986 -0.15015986 -0.045104892 0.045104892 - actual$covM1$Item6[3, ] -0.169664299 -0.002710279 0.257021251 0.027847992 0.04611904 -0.05811650 0.014431577 -0.026294686 + expected$covM1$Item6[3, ] -0.169664314 -0.002710244 0.257021296 0.027847973 0.04611905 -0.05811652 0.014431573 -0.026294687 - actual$covM1$Item6[4, ] -0.002710221 -0.431396157 0.027847992 0.722852946 -0.15015990 0.20849334 0.045104902 -0.073803760 + expected$covM1$Item6[4, ] -0.002710253 -0.431396039 0.027847973 0.722852608 -0.15015985 0.20849327 0.045104888 -0.073803729 - actual$covM1$Item6[5, ] -0.046119051 0.150159893 0.046119038 -0.150159903 0.06871337 -0.06871338 -0.012909402 0.012909404 + expected$covM1$Item6[5, ] -0.046119048 0.150159861 0.046119053 -0.150159849 0.06871336 -0.06871336 -0.012909398 0.012909397 - actual$covM1$Item6[6, ] 0.046119056 -0.150159891 -0.058116503 0.208493342 -0.06871338 0.08560322 0.012909401 -0.017438282 + expected$covM1$Item6[6, ] 0.046119048 -0.150159858 -0.058116520 0.208493268 -0.06871336 0.08560321 0.012909397 -0.017438274 - actual$covM1$Item6[7, ] -0.014431574 -0.045104904 0.014431577 0.045104902 -0.01290940 0.01290940 0.007001178 -0.007001178 + expected$covM1$Item6[7, ] -0.014431574 -0.045104892 0.014431573 0.045104888 -0.01290940 0.01290940 0.007001176 -0.007001176 - actual$covM1$Item6[8, ] 0.014431572 0.045104908 -0.026294686 -0.073803760 0.01290940 -0.01743828 -0.007001178 0.011951872 + expected$covM1$Item6[8, ] 0.014431574 0.045104892 -0.026294687 -0.073803729 0.01290940 -0.01743827 -0.007001176 0.011951870 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 0.614823920 0.2293664 -0.614823934 -0.2293665 0.008075119 -0.008075134 -0.4970704 0.4970705 + expected$covM1$Item7[1, ] 0.614823642 0.2293663 -0.614823640 -0.2293664 0.008075103 -0.008075122 -0.4970702 0.4970702 - actual$covM1$Item7[2, ] 0.229366386 0.6755152 -0.229366390 -0.6755153 0.138826735 -0.138826751 -0.7547802 0.7547803 + expected$covM1$Item7[2, ] 0.229366283 0.6755151 -0.229366285 -0.6755153 0.138826691 -0.138826726 -0.7547800 0.7547801 - actual$covM1$Item7[3, ] -0.614823934 -0.2293664 0.862654149 0.2374455 -0.008075118 -0.011701528 0.4970704 -0.5971980 + expected$covM1$Item7[3, ] -0.614823640 -0.2293663 0.862653823 0.2374453 -0.008075104 -0.011701541 0.4970702 -0.5971977 - actual$covM1$Item7[4, ] -0.229366515 -0.6755153 0.237445504 1.0457478 -0.138826760 0.209479826 0.7547804 -1.0250927 + expected$covM1$Item7[4, ] -0.229366382 -0.6755153 0.237445339 1.0457479 -0.138826728 0.209479826 0.7547802 -1.0250926 - actual$covM1$Item7[5, ] 0.008075119 0.1388267 -0.008075118 -0.1388268 0.032677608 -0.032677611 -0.1403356 0.1403356 + expected$covM1$Item7[5, ] 0.008075103 0.1388267 -0.008075104 -0.1388267 0.032677591 -0.032677598 -0.1403355 0.1403355 - actual$covM1$Item7[6, ] -0.008075134 -0.1388268 -0.011701528 0.2094798 -0.032677611 0.049087809 0.1403356 -0.1855377 + expected$covM1$Item7[6, ] -0.008075122 -0.1388267 -0.011701541 0.2094798 -0.032677598 0.049087804 0.1403356 -0.1855377 - actual$covM1$Item7[7, ] -0.497070423 -0.7547802 0.497070432 0.7547804 -0.140335577 0.140335600 0.9612909 -0.9612910 + expected$covM1$Item7[7, ] -0.497070156 -0.7547800 0.497070157 0.7547802 -0.140335508 0.140335550 0.9612905 -0.9612907 - actual$covM1$Item7[8, ] 0.497070491 0.7547803 -0.597197969 -1.0250927 0.140335588 -0.185537715 -0.9612910 1.2003879 + expected$covM1$Item7[8, ] 0.497070250 0.7547801 -0.597197709 -1.0250926 0.140335537 -0.185537697 -0.9612907 1.2003877 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 0.21721180 -0.05067917 -0.21721180 0.05067916 -0.016727691 0.016727691 -0.04568449 0.04568449 + expected$covM1$Item8[1, ] 0.21721293 -0.05067505 -0.21721294 0.05067505 -0.016727393 0.016727393 -0.04568823 0.04568824 - actual$covM1$Item8[2, ] -0.05067917 0.35417160 0.05067913 -0.35417160 0.036914444 -0.036914444 -0.20401809 0.20401813 + expected$covM1$Item8[2, ] -0.05067505 0.35417067 0.05067500 -0.35417068 0.036914681 -0.036914682 -0.20402439 0.20402444 - actual$covM1$Item8[3, ] -0.21721180 0.05067913 0.92890408 0.17793678 0.016727687 -0.015627451 0.04568452 -0.73525815 + expected$covM1$Item8[3, ] -0.21721294 0.05067500 0.92890964 0.17794430 0.016727388 -0.015626913 0.04568827 -0.73526903 - actual$covM1$Item8[4, ] 0.05067916 -0.35417160 0.17793678 0.89881745 -0.036914444 0.074224335 0.20401809 -0.98882991 + expected$covM1$Item8[4, ] 0.05067505 -0.35417068 0.17794430 0.89881657 -0.036914681 0.074224803 0.20402440 -0.98883893 - actual$covM1$Item8[5, ] -0.01672769 0.03691444 0.01672769 -0.03691444 0.005023592 -0.005023592 -0.01817277 0.01817277 + expected$covM1$Item8[5, ] -0.01672739 0.03691468 0.01672739 -0.03691468 0.005023655 -0.005023655 -0.01817352 0.01817353 - actual$covM1$Item8[6, ] 0.01672769 -0.03691444 -0.01562745 0.07422434 -0.005023592 0.008368109 0.01817277 -0.06501135 + expected$covM1$Item8[6, ] 0.01672739 -0.03691468 -0.01562691 0.07422480 -0.005023655 0.008368207 0.01817352 -0.06501257 - actual$covM1$Item8[7, ] -0.04568449 -0.20401809 0.04568452 0.20401809 -0.018172771 0.018172771 0.14886997 -0.14886999 + expected$covM1$Item8[7, ] -0.04568823 -0.20402439 0.04568827 0.20402440 -0.018173524 0.018173525 0.14887904 -0.14887907 - actual$covM1$Item8[8, ] 0.04568449 0.20401813 -0.73525815 -0.98882991 0.018172774 -0.065011354 -0.14886999 1.50533216 + expected$covM1$Item8[8, ] 0.04568824 0.20402444 -0.73526903 -0.98883893 0.018173528 -0.065012570 -0.14887907 1.50534974 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item9[1, ] 0.25475917 0.07025672 -0.25475490 -0.07025636 -0.06274698 0.06274585 -0.013663845 0.013663896 + expected$covM1$Item9[1, ] 0.25475881 0.07024992 -0.25475808 -0.07024849 -0.06275074 0.06275105 -0.013663700 0.013663655 - actual$covM1$Item9[2, ] 0.07025672 0.60118049 -0.07025539 -0.60118038 0.30597946 -0.30597983 -0.031332253 0.031332288 + expected$covM1$Item9[2, ] 0.07024992 0.60117685 -0.07024990 -0.60117701 0.30598139 -0.30598158 -0.031332654 0.031332662 - actual$covM1$Item9[3, ] -0.25475490 -0.07025539 0.53239241 0.08083954 0.06274601 -0.17381536 0.013663609 -0.025656774 + expected$covM1$Item9[3, ] -0.25475808 -0.07024990 0.53240615 0.08083796 0.06275046 -0.17381997 0.013663670 -0.025657010 - actual$covM1$Item9[4, ] -0.07025636 -0.60118038 0.08083954 1.17514929 -0.30597954 0.67373042 0.031332233 -0.065022801 + expected$covM1$Item9[4, ] -0.07024849 -0.60117701 0.08083796 1.17515001 -0.30598205 0.67373212 0.031332603 -0.065022751 - actual$covM1$Item9[5, ] -0.06274698 0.30597946 0.06274601 -0.30597954 0.20175938 -0.20175913 -0.013085260 0.013085260 + expected$covM1$Item9[5, ] -0.06275074 0.30598139 0.06275046 -0.30598205 0.20176268 -0.20176292 -0.013085605 0.013085628 - actual$covM1$Item9[6, ] 0.06274585 -0.30597983 -0.17381536 0.67373042 -0.20175913 0.49392492 0.013085324 -0.031002528 + expected$covM1$Item9[6, ] 0.06275105 -0.30598158 -0.17381997 0.67373212 -0.20176292 0.49392715 0.013085602 -0.031002435 - actual$covM1$Item9[7, ] -0.01366385 -0.03133225 0.01366361 0.03133223 -0.01308526 0.01308532 0.002690592 -0.002690596 + expected$covM1$Item9[7, ] -0.01366370 -0.03133265 0.01366367 0.03133260 -0.01308561 0.01308560 0.002690658 -0.002690657 - actual$covM1$Item9[8, ] 0.01366390 0.03133229 -0.02565677 -0.06502280 0.01308526 -0.03100253 -0.002690596 0.005809164 + expected$covM1$Item9[8, ] 0.01366365 0.03133266 -0.02565701 -0.06502275 0.01308563 -0.03100243 -0.002690657 0.005809144 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item10[1, ] 0.123239708 0.004515539 -0.123239716 -0.004515557 -0.03078644 0.03078643 -0.013233381 0.013233386 + expected$covM1$Item10[1, ] 0.123240150 0.004514483 -0.123240156 -0.004514475 -0.03078682 0.03078682 -0.013233311 0.013233312 - actual$covM1$Item10[2, ] 0.004515539 0.338264660 -0.004515492 -0.338264680 0.10337045 -0.10337048 -0.040320536 0.040320545 + expected$covM1$Item10[2, ] 0.004514483 0.338266774 -0.004514401 -0.338266690 0.10337108 -0.10337107 -0.040320596 0.040320576 - actual$covM1$Item10[3, ] -0.123239716 -0.004515492 0.266629128 -0.003079555 0.03078646 -0.07613289 0.013233376 -0.026303439 + expected$covM1$Item10[3, ] -0.123240156 -0.004514401 0.266629556 -0.003080710 0.03078685 -0.07613330 0.013233302 -0.026303354 - actual$covM1$Item10[4, ] -0.004515557 -0.338264680 -0.003079555 0.678426219 -0.10337045 0.24605848 0.040320540 -0.083396082 + expected$covM1$Item10[4, ] -0.004514475 -0.338266690 -0.003080710 0.678427933 -0.10337106 0.24605896 0.040320585 -0.083396045 - actual$covM1$Item10[5, ] -0.030786442 0.103370453 0.030786459 -0.103370454 0.04268594 -0.04268594 -0.010016364 0.010016366 + expected$covM1$Item10[5, ] -0.030786821 0.103371082 0.030786848 -0.103371059 0.04268611 -0.04268610 -0.010016368 0.010016361 - actual$covM1$Item10[6, ] 0.030786435 -0.103370476 -0.076132887 0.246058478 -0.04268594 0.11808769 0.010016367 -0.025064216 + expected$covM1$Item10[6, ] 0.030786824 -0.103371068 -0.076133298 0.246058961 -0.04268610 0.11808781 0.010016366 -0.025064184 - actual$covM1$Item10[7, ] -0.013233381 -0.040320536 0.013233376 0.040320540 -0.01001636 0.01001637 0.007292337 -0.007292339 + expected$covM1$Item10[7, ] -0.013233311 -0.040320596 0.013233302 0.040320585 -0.01001637 0.01001637 0.007292327 -0.007292325 - actual$covM1$Item10[8, ] 0.013233386 0.040320545 -0.026303439 -0.083396082 0.01001637 -0.02506422 -0.007292339 0.015273257 + expected$covM1$Item10[8, ] 0.013233312 0.040320576 -0.026303354 -0.083396045 0.01001636 -0.02506418 -0.007292325 0.015273228 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item11[1, ] 0.2853170350 -0.13513475 -0.2853170333 0.13513473 -0.19501418 0.19501418 0.0008025076 -0.0008025077 + expected$covM1$Item11[1, ] 0.2853170680 -0.13513477 -0.2853171198 0.13513471 -0.19501422 0.19501420 0.0008025077 -0.0008025058 - actual$covM1$Item11[2, ] -0.1351347455 0.42005165 0.1351347479 -0.42005162 0.31078868 -0.31078866 -0.0603193445 0.0603193433 + expected$covM1$Item11[2, ] -0.1351347690 0.42005171 0.1351348313 -0.42005162 0.31078874 -0.31078870 -0.0603193300 0.0603193272 - actual$covM1$Item11[3, ] -0.2853170333 0.13513475 0.7518202302 0.31830358 0.19501418 -0.09585123 -0.0008025082 -0.0138611184 + expected$covM1$Item11[3, ] -0.2853171198 0.13513483 0.7518137019 0.31829662 0.19501428 -0.09585322 -0.0008025142 -0.0138610701 - actual$covM1$Item11[4, ] 0.1351347318 -0.42005162 0.3183035770 1.17139935 -0.31078866 0.61202503 0.0603193405 -0.0767658804 + expected$covM1$Item11[4, ] 0.1351347105 -0.42005162 0.3182966215 1.17139246 -0.31078866 0.61202317 0.0603193191 -0.0767658668 - actual$covM1$Item11[5, ] -0.1950141836 0.31078868 0.1950141844 -0.31078866 0.27201263 -0.27201262 -0.0388227762 0.0388227755 + expected$covM1$Item11[5, ] -0.1950142183 0.31078874 0.1950142769 -0.31078866 0.27201269 -0.27201266 -0.0388227682 0.0388227657 - actual$covM1$Item11[6, ] 0.1950141757 -0.31078866 -0.0958512284 0.61202503 -0.27201262 0.43504687 0.0388227739 -0.0440350966 + expected$covM1$Item11[6, ] 0.1950142009 -0.31078870 -0.0958532239 0.61202317 -0.27201266 0.43504636 0.0388227639 -0.0440351038 - actual$covM1$Item11[7, ] 0.0008025076 -0.06031934 -0.0008025082 0.06031934 -0.03882278 0.03882277 0.0110777496 -0.0110777493 + expected$covM1$Item11[7, ] 0.0008025077 -0.06031933 -0.0008025142 0.06031932 -0.03882277 0.03882276 0.0110777432 -0.0110777428 - actual$covM1$Item11[8, ] -0.0008025077 0.06031934 -0.0138611184 -0.07676588 0.03882278 -0.04403510 -0.0110777493 0.0119582270 + expected$covM1$Item11[8, ] -0.0008025058 0.06031933 -0.0138610701 -0.07676587 0.03882277 -0.04403510 -0.0110777428 0.0119582260 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item12[1, ] 0.46532880 0.03519907 -0.46532885 -0.03519906 -0.017663749 0.017663751 -0.23638430 0.23638431 + expected$covM1$Item12[1, ] 0.46532938 0.03519918 -0.46532939 -0.03519920 -0.017663737 0.017663735 -0.23638470 0.23638472 - actual$covM1$Item12[2, ] 0.03519907 0.63954876 -0.03519930 -0.63954856 0.067234169 -0.067234132 -0.55221442 0.55221436 + expected$covM1$Item12[2, ] 0.03519918 0.63954952 -0.03519932 -0.63954966 0.067234153 -0.067234152 -0.55221523 0.55221533 - actual$covM1$Item12[3, ] -0.46532885 -0.03519930 0.79585472 0.04754275 0.017663726 -0.038085190 0.23638452 -0.36834603 + expected$covM1$Item12[3, ] -0.46532939 -0.03519932 0.79585595 0.04754444 0.017663723 -0.038085119 0.23638482 -0.36834784 - actual$covM1$Item12[4, ] -0.03519906 -0.63954856 0.04754275 1.11180639 -0.067234148 0.137902815 0.55221425 -0.88825045 + expected$covM1$Item12[4, ] -0.03519920 -0.63954966 0.04754444 1.11180884 -0.067234166 0.137903755 0.55221536 -0.88825380 - actual$covM1$Item12[5, ] -0.01766375 0.06723417 0.01766373 -0.06723415 0.008920189 -0.008920186 -0.05055104 0.05055104 + expected$covM1$Item12[5, ] -0.01766374 0.06723415 0.01766372 -0.06723417 0.008920175 -0.008920175 -0.05055105 0.05055105 - actual$covM1$Item12[6, ] 0.01766375 -0.06723413 -0.03808519 0.13790282 -0.008920186 0.022032876 0.05055101 -0.09433350 + expected$covM1$Item12[6, ] 0.01766373 -0.06723415 -0.03808512 0.13790376 -0.008920175 0.022033142 0.05055105 -0.09433432 - actual$covM1$Item12[7, ] -0.23638430 -0.55221442 0.23638452 0.55221425 -0.050551043 0.050551011 0.57929733 -0.57929728 + expected$covM1$Item12[7, ] -0.23638470 -0.55221523 0.23638482 0.55221536 -0.050551045 0.050551046 0.57929832 -0.57929841 - actual$covM1$Item12[8, ] 0.23638431 0.55221436 -0.36834603 -0.88825045 0.050551035 -0.094333503 -0.57929728 0.87143786 + expected$covM1$Item12[8, ] 0.23638472 0.55221533 -0.36834784 -0.88825380 0.050551055 -0.094334319 -0.57929841 0.87144170 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item13[1, ] 0.346832163 -0.001452976 -0.346832155 0.001452979 -0.03101076 0.03101076 -0.12039290 0.12039289 + expected$covM1$Item13[1, ] 0.346833879 -0.001449219 -0.346833876 0.001449206 -0.03101099 0.03101099 -0.12039596 0.12039597 - actual$covM1$Item13[2, ] -0.001452976 0.551632728 0.001453087 -0.551632824 0.10722592 -0.10722594 -0.36983550 0.36983552 + expected$covM1$Item13[2, ] -0.001449219 0.551633366 0.001449266 -0.551633339 0.10722983 -0.10722983 -0.36984003 0.36983999 - actual$covM1$Item13[3, ] -0.346832155 0.001453087 0.731526255 -0.023016131 0.03101078 -0.05329754 0.12039282 -0.25410484 + expected$covM1$Item13[3, ] -0.346833876 0.001449266 0.731527155 -0.023011660 0.03101100 -0.05329773 0.12039593 -0.25410804 - actual$covM1$Item13[4, ] 0.001452979 -0.551632824 -0.023016131 1.088126023 -0.10722594 0.16616822 0.36983556 -0.74287641 + expected$covM1$Item13[4, ] 0.001449206 -0.551633339 -0.023011660 1.088125162 -0.10722983 0.16617219 0.36984002 -0.74288007 - actual$covM1$Item13[5, ] -0.031010759 0.107225923 0.031010780 -0.107225942 0.02495142 -0.02495142 -0.06329570 0.06329571 + expected$covM1$Item13[5, ] -0.031010987 0.107229832 0.031010996 -0.107229825 0.02495310 -0.02495310 -0.06329883 0.06329882 - actual$covM1$Item13[6, ] 0.031010759 -0.107225936 -0.053297543 0.166168218 -0.02495142 0.03339840 0.06329571 -0.09836558 + expected$covM1$Item13[6, ] 0.031010986 -0.107229829 -0.053297734 0.166172192 -0.02495310 0.03340012 0.06329883 -0.09836876 - actual$covM1$Item13[7, ] -0.120392897 -0.369835497 0.120392820 0.369835561 -0.06329570 0.06329571 0.29718003 -0.29718005 + expected$covM1$Item13[7, ] -0.120395965 -0.369840030 0.120395932 0.369840016 -0.06329883 0.06329883 0.29718598 -0.29718595 - actual$covM1$Item13[8, ] 0.120392893 0.369835524 -0.254104838 -0.742876412 0.06329571 -0.09836558 -0.29718005 0.62303319 + expected$covM1$Item13[8, ] 0.120395968 0.369839990 -0.254108038 -0.742880067 0.06329882 -0.09836876 -0.29718595 0.62303846 actual$covM1$Item14 vs expected$covM1$Item14 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item14[1, ] 1.29012972 0.5768067 -1.29012979 -0.5768067 0.04202913 -0.04202912 -1.1245212 1.1245212 + expected$covM1$Item14[1, ] 1.29013389 0.5768087 -1.29013390 -0.5768087 0.04202913 -0.04202913 -1.1245253 1.1245253 - actual$covM1$Item14[2, ] 0.57680674 1.1322728 -0.57680681 -1.1322727 0.18989000 -0.18989000 -1.3451745 1.3451745 + expected$covM1$Item14[2, ] 0.57680872 1.1322747 -0.57680876 -1.1322746 0.18988948 -0.18988948 -1.3451774 1.3451773 - actual$covM1$Item14[3, ] -1.29012979 -0.5768068 1.73061832 0.2906231 -0.04202914 0.01751389 1.1245213 -1.1126608 + expected$covM1$Item14[3, ] -1.29013390 -0.5768088 1.73057493 0.2906891 -0.04202914 0.01751352 1.1245253 -1.1126825 - actual$covM1$Item14[4, ] -0.57680665 -1.1322727 0.29062312 1.7032558 -0.18988998 0.21828024 1.3451744 -1.5619705 + expected$covM1$Item14[4, ] -0.57680865 -1.1322746 0.29068913 1.7032335 -0.18988947 0.21828314 1.3451772 -1.5619906 - actual$covM1$Item14[5, ] 0.04202913 0.1898900 -0.04202914 -0.1898900 0.03630700 -0.03630700 -0.2049987 0.2049987 + expected$covM1$Item14[5, ] 0.04202913 0.1898895 -0.04202914 -0.1898895 0.03630675 -0.03630675 -0.2049982 0.2049982 - actual$covM1$Item14[6, ] -0.04202912 -0.1898900 0.01751389 0.2182802 -0.03630700 0.03873613 0.2049987 -0.2135023 + expected$covM1$Item14[6, ] -0.04202913 -0.1898895 0.01751352 0.2182831 -0.03630675 0.03873639 0.2049982 -0.2135040 - actual$covM1$Item14[7, ] -1.12452124 -1.3451745 1.12452133 1.3451744 -0.20499871 0.20499870 1.8063745 -1.8063745 + expected$covM1$Item14[7, ] -1.12452529 -1.3451774 1.12452534 1.3451772 -0.20499822 0.20499821 1.8063793 -1.8063793 - actual$covM1$Item14[8, ] 1.12452121 1.3451745 -1.11266084 -1.5619705 0.20499870 -0.21350228 -1.8063745 1.9282958 + expected$covM1$Item14[8, ] 1.12452525 1.3451773 -1.11268248 -1.5619906 0.20499821 -0.21350400 -1.8063793 1.9283204 actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 0.53023134 -0.2644534 -0.530231308 0.2644534 -0.3092289 0.3092289 0.01617392 -0.016173904 + expected$covM1$Item15[1, ] 0.53023927 -0.2644582 -0.530239287 0.2644583 -0.3092356 0.3092356 0.01617564 -0.016175658 - actual$covM1$Item15[2, ] -0.26445341 0.7204745 0.264453287 -0.7204746 0.4833377 -0.4833377 -0.19288102 0.192881027 + expected$covM1$Item15[2, ] -0.26445820 0.7204786 0.264458183 -0.7204786 0.4833458 -0.4833458 -0.19288788 0.192887899 - actual$covM1$Item15[3, ] -0.53023131 0.2644533 0.825540852 -0.3536748 0.3092288 -0.3923990 -0.01617388 -0.002782237 + expected$covM1$Item15[3, ] -0.53023929 0.2644582 0.825552007 -0.3536826 0.3092355 -0.3924076 -0.01617563 -0.002780406 - actual$covM1$Item15[4, ] 0.26445337 -0.7204746 -0.353674825 1.3143090 -0.4833377 0.6797754 0.19288103 -0.313293823 + expected$covM1$Item15[4, ] 0.26445825 -0.7204786 -0.353682554 1.3143115 -0.4833458 0.6797861 0.19288787 -0.313305071 - actual$covM1$Item15[5, ] -0.30922892 0.4833377 0.309228841 -0.4833377 0.3699492 -0.3699492 -0.11566501 0.115665014 + expected$covM1$Item15[5, ] -0.30923555 0.4833458 0.309235547 -0.4833458 0.3699587 -0.3699587 -0.11567060 0.115670621 - actual$covM1$Item15[6, ] 0.30922890 -0.4833377 -0.392399037 0.6797754 -0.3699492 0.4480225 0.11566501 -0.150122940 + expected$covM1$Item15[6, ] 0.30923557 -0.4833458 -0.392407610 0.6797861 -0.3699587 0.4480340 0.11567061 -0.150130417 - actual$covM1$Item15[7, ] 0.01617392 -0.1928810 -0.016173883 0.1928810 -0.1156650 0.1156650 0.06109991 -0.061099919 + expected$covM1$Item15[7, ] 0.01617564 -0.1928879 -0.016175634 0.1928879 -0.1156706 0.1156706 0.06110370 -0.061103703 - actual$covM1$Item15[8, ] -0.01617390 0.1928810 -0.002782237 -0.3132938 0.1156650 -0.1501229 -0.06109992 0.092632245 + expected$covM1$Item15[8, ] -0.01617566 0.1928879 -0.002780406 -0.3133051 0.1156706 -0.1501304 -0.06110370 0.092638208 ── Failure ('test-difNLR.R:509:3'): testing paper code - R Journal 2020 - generated data ── Expected `... <- NULL` to throw a message. Backtrace: ▆ 1. ├─testthat::expect_message(...) at test-difNLR.R:509:3 2. │ └─testthat:::expect_condition_matching_(...) 3. │ └─testthat:::quasi_capture(...) 4. │ ├─testthat (local) .capture(...) 5. │ │ └─base::withCallingHandlers(...) 6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo)) 7. └─testthat::expect_message(...) ── Failure ('test-difNLR.R:509:3'): testing paper code - R Journal 2020 - generated data ── Expected `expect_message(...)` to throw a message. ── Failure ('test-difNLR.R:514:3'): testing paper code - R Journal 2020 - generated data ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:621:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:627:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fit12b` to equal `fit12b_expected`. Differences: actual$Sval | expected$Sval [1] 2.093482953 | 2.093482953 [1] [2] 0.789631643 - 0.789631652 [2] [3] 17.651549159 - 17.651549152 [3] [4] 4.840289796 - 4.840289795 [4] [5] 13.156640531 - 13.157333673 [5] [6] 3.871428579 | 3.871428579 [6] [7] 1.577764911 | 1.577764911 [7] [8] 10.909263458 | 10.909263458 [8] [9] 0.609726070 - 0.609726059 [9] [10] 2.485424900 - 2.485338076 [10] ... ... ... and 5 more ... actual$nlrPAR[[2]] | expected$nlrPAR[[2]] [1] 0.35746079 - 0.35745971 [1] [2] 1.77519049 - 1.77518955 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.82152317 - 0.82152338 [7] [8] 0.00000000 | 0.00000000 [8] actual$nlrPAR[[3]] | expected$nlrPAR[[3]] [1] -2.3199631 - -2.3197733 [1] [2] 5.3421365 - 5.3415445 [2] [3] -25.4964528 - -25.4964281 [3] [4] 9.8076985 - 9.8081699 [4] [5] 0.0376932 - 0.0376918 [5] [6] 0.0437675 - 0.0437688 [6] [7] 0.3018453 - 0.3018493 [7] [8] 0.6981547 - 0.6981507 [8] actual$nlrPAR[[5]] | expected$nlrPAR[[5]] [1] 5.12797 - 5.16284 [1] [2] 8.07602 - 8.10857 [2] [3] -4.10592 - -4.14541 [3] [4] -6.69324 - -6.72599 [4] [5] 0.26881 - 0.26828 [5] [6] -0.26881 - -0.26828 [6] [7] 0.82650 - 0.82589 [7] [8] -0.03161 - -0.03059 [8] actual$nlrPAR[[8]] | expected$nlrPAR[[8]] [1] -1.4729980 - -1.4730029 [1] [2] 1.6516312 - 1.6518039 [2] [3] -0.8481872 - -0.8481823 [3] [4] -0.3600650 - -0.3602377 [4] [5] 0.0384072 - 0.0384135 [5] [6] -0.0384072 - -0.0384135 [6] [7] 0.5958526 - 0.5958153 [7] [8] 0.0759435 - 0.0759808 [8] actual$nlrPAR[[9]] | expected$nlrPAR[[9]] [1] 1.9367668 - 1.9367987 [1] [2] 1.6539646 - 1.6539875 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0000000 | 0.0000000 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9430469 - 0.9430443 [7] [8] 0.0000000 | 0.0000000 [8] actual$nlrPAR[[11]] | expected$nlrPAR[[11]] [1] 0.128202655 - 0.128183950 [1] [2] 1.125003661 - 1.125023799 [2] [3] 3.463543589 - 3.463561224 [3] [4] 1.510459054 - 1.510437940 [4] [5] 0.330662387 - 0.330668718 [5] [6] -0.330662387 - -0.330668718 [6] [7] 1.000000000 | 1.000000000 [7] [8] -0.042567298 - -0.042567283 [8] actual$nlrPAR[[13]] | expected$nlrPAR[[13]] [1] -1.66009050 - -1.66008240 [1] [2] 1.33991768 - 1.33991285 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.13504804 - 0.13504722 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] `actual$nlrPAR[[14]]` is a double vector (-1.23566868838301, 0.929485919261406, 0, 0, 0.0679990023329196, ...) `expected$nlrPAR[[14]]` is a logical vector (NA, NA, NA, NA, NA, ...) actual$nlrPAR[[15]] | expected$nlrPAR[[15]] [1] 0.35938123 - 0.35938085 [1] [2] 0.92645356 - 0.92645250 [2] [3] -0.70337283 - -0.70337258 [3] [4] -0.29152945 - -0.29152742 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] actual$nlrSE[[2]] | expected$nlrSE[[2]] [1] 0.354203780 - 0.354203751 [1] [2] 0.684475083 - 0.684474846 [2] [3] 0.000000000 | 0.000000000 [3] [4] 0.000000000 | 0.000000000 [4] [5] 0.123356423 - 0.123356465 [5] [6] 0.000000000 | 0.000000000 [6] [7] 0.083923066 - 0.083923146 [7] [8] 0.000000000 | 0.000000000 [8] actual$nlrSE[[3]] | expected$nlrSE[[3]] [1] 2.01441185 - 2.01422145 [1] [2] 4.55481384 - 4.55422652 [2] [3] 45.88628206 - 45.88470108 [3] [4] 27.17529638 - 27.17429000 [4] [5] 0.03196063 - 0.03196191 [5] [6] 0.03831176 - 0.03831283 [6] [7] 0.05301940 - 0.05302205 [7] [8] 0.15715096 - 0.15715189 [8] actual$nlrSE[[5]] | expected$nlrSE[[5]] [1] 2.831687 - 2.843232 [1] [2] 4.884886 - 4.881027 [2] [3] 2.919046 - 2.929939 [3] [4] 5.007261 - 5.003131 [4] [5] 0.088102 - 0.088051 [5] [6] 0.411614 - 0.410328 [6] [7] 0.041607 - 0.041566 [7] [8] 0.133356 - 0.133532 [8] actual$nlrSE[[8]] | expected$nlrSE[[8]] [1] 0.8085484 - 0.8085699 [1] [2] 1.1780994 - 1.1781691 [2] [3] 1.2789891 - 1.2790027 [3] [4] 1.6155253 - 1.6155762 [4] [5] 0.0737609 - 0.0737526 [5] [6] 0.0983961 - 0.0983899 [6] [7] 0.2400120 - 0.2399573 [7] [8] 0.6294437 - 0.6294228 [8] actual$nlrSE[[9]] | expected$nlrSE[[9]] [1] 0.4655066 - 0.4655093 [1] [2] 0.7330510 - 0.7330551 [2] [3] 0.0000000 | 0.0000000 [3] [4] 0.0000000 | 0.0000000 [4] [5] 0.3729587 - 0.3729535 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.0536663 - 0.0536652 [7] [8] 0.0000000 | 0.0000000 [8] actual$nlrSE[[11]] | expected$nlrSE[[11]] [1] 0.8419896 - 0.8419775 [1] [2] 1.3140020 - 1.3139954 [2] [3] 1.4691407 - 1.4691334 [3] [4] 1.8800335 - 1.8800289 [4] [5] 0.3588125 - 0.3587939 [5] [6] 0.5100984 - 0.5100855 [6] [7] 0.2566619 - 0.2566554 [7] [8] 0.2601705 - 0.2601641 [8] actual$nlrSE[[13]] | expected$nlrSE[[13]] [1] 0.57657355 - 0.57657277 [1] [2] 0.72417834 - 0.72417780 [2] [3] 0.00000000 | 0.00000000 [3] [4] 0.00000000 | 0.00000000 [4] [5] 0.07691239 - 0.07691293 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.35708734 - 0.35708867 [7] [8] 0.00000000 | 0.00000000 [8] `actual$nlrSE[[14]]` is a double vector (0.702643015237967, 0.815358854678453, 0, 0, 0.158538986678922, ...) `expected$nlrSE[[14]]` is a logical vector (NA, NA, NA, NA, NA, ...) actual$nlrSE[[15]] | expected$nlrSE[[15]] [1] 0.95061735 - 0.95061909 [1] [2] 1.30016990 - 1.30017136 [2] [3] 1.54750906 - 1.54750791 [3] [4] 1.93544833 - 1.93544739 [4] [5] 0.81941644 - 0.81941848 [5] [6] 1.17045038 - 1.17044962 [6] [7] 0.40982958 - 0.40983069 [7] [8] 1.25697730 - 1.25697337 [8] `actual$parM0$Item2`: 0.35746079 1.77519049 0.00000000 0.82152317 `expected$parM0$Item2`: 0.35745971 1.77518955 0.00000000 0.82152338 `actual$parM0$Item5`: 1.359628667 1.599830035 0.000000000 0.846203266 `expected$parM0$Item5`: 1.359628363 1.599829768 0.000000000 0.846203299 `actual$parM0$Item9`: 1.9367668 1.6539646 0.0000000 0.9430469 `expected$parM0$Item9`: 1.9367987 1.6539875 0.0000000 0.9430443 `actual$parM0$Item13`: -1.66009050 1.33991768 0.13504804 1.00000000 `expected$parM0$Item13`: -1.66008240 1.33991285 0.13504722 1.00000000 `actual$parM0$Item14`: -1.235668688 0.929485919 0.067999002 1.000000000 `expected$parM0$Item14`: -1.235668242 0.929485444 0.067998934 1.000000000 `actual$parM0$Item15`: -0.002871154 0.741514022 0.000000000 1.000000000 `expected$parM0$Item15`: -0.002870816 0.741514036 0.000000000 1.000000000 `actual$seM0$Item2`: 0.354203780 0.684475083 0.123356423 0.083923066 `expected$seM0$Item2`: 0.354203751 0.684474846 0.123356465 0.083923146 `actual$seM0$Item3`: 0.614646293 0.667965483 0.044831990 0.751300799 `expected$seM0$Item3`: 0.614646232 0.667965449 0.044831989 0.751300770 `actual$seM0$Item5`: 0.481953236 0.804813562 0.291545907 0.072434442 `expected$seM0$Item5`: 0.481953218 0.804813504 0.291545961 0.072434456 `actual$seM0$Item9`: 0.4655066 0.7330510 0.3729587 0.0536663 `expected$seM0$Item9`: 0.4655093 0.7330551 0.3729535 0.0536652 `actual$seM0$Item11`: 0.563259467 0.797881387 0.586945683 0.068677472 `expected$seM0$Item11`: 0.563259429 0.797881417 0.586945703 0.068677471 `actual$seM0$Item13`: 0.57657355 0.72417834 0.07691239 0.35708734 `expected$seM0$Item13`: 0.57657277 0.72417780 0.07691293 0.35708867 `actual$seM0$Item14`: 0.70264302 0.81535885 0.15853899 0.68836089 `expected$seM0$Item14`: 0.70264343 0.81535916 0.15853917 0.68836163 `actual$seM0$Item15`: 0.77548569 0.96120960 0.61211662 0.51441550 `expected$seM0$Item15`: 0.77546791 0.96121158 0.61211727 0.51441502 actual$covM0$Item2 vs expected$covM0$Item2 [,1] [,2] [,3] [,4] - actual$covM0$Item2[1, ] 0.12546032 0.01600656 -0.017484507 -0.015139077 + expected$covM0$Item2[1, ] 0.12546030 0.01600639 -0.017484532 -0.015139075 - actual$covM0$Item2[2, ] 0.01600656 0.46850614 0.068668193 -0.043624943 + expected$covM0$Item2[2, ] 0.01600639 0.46850581 0.068668203 -0.043624981 - actual$covM0$Item2[3, ] -0.01748451 0.06866819 0.015216807 -0.005050117 + expected$covM0$Item2[3, ] -0.01748453 0.06866820 0.015216817 -0.005050126 - actual$covM0$Item2[4, ] -0.01513908 -0.04362494 -0.005050117 0.007043081 + expected$covM0$Item2[4, ] -0.01513907 -0.04362498 -0.005050126 0.007043094 actual$covM0$Item3 vs expected$covM0$Item3 [,1] [,2] [,3] [,4] - actual$covM0$Item3[1, ] 0.37779007 -0.03882079 -0.011412623 -0.1627677 + expected$covM0$Item3[1, ] 0.37778999 -0.03882075 -0.011412619 -0.1627677 - actual$covM0$Item3[2, ] -0.03882079 0.44617789 0.025013289 -0.4452426 + expected$covM0$Item3[2, ] -0.03882075 0.44617784 0.025013287 -0.4452425 actual$covM0$Item3[3, ] -0.01141262 0.02501329 0.002009907 -0.0211514 - actual$covM0$Item3[4, ] -0.16276769 -0.44524258 -0.021151404 0.5644529 + expected$covM0$Item3[4, ] -0.16276770 -0.44524254 -0.021151403 0.5644528 actual$covM0$Item5 vs expected$covM0$Item5 [,1] [,2] [,3] [,4] - actual$covM0$Item5[1, ] 0.23227892 0.08629765 -0.03249396 -0.020520656 + expected$covM0$Item5[1, ] 0.23227890 0.08629751 -0.03249401 -0.020520651 - actual$covM0$Item5[2, ] 0.08629765 0.64772487 0.20386028 -0.045111270 + expected$covM0$Item5[2, ] 0.08629751 0.64772478 0.20386031 -0.045111277 - actual$covM0$Item5[3, ] -0.03249396 0.20386028 0.08499902 -0.011494711 + expected$covM0$Item5[3, ] -0.03249401 0.20386031 0.08499905 -0.011494716 - actual$covM0$Item5[4, ] -0.02052066 -0.04511127 -0.01149471 0.005246748 + expected$covM0$Item5[4, ] -0.02052065 -0.04511128 -0.01149472 0.005246750 actual$covM0$Item9 vs expected$covM0$Item9 [,1] [,2] [,3] [,4] - actual$covM0$Item9[1, ] 0.21669637 0.09920145 -0.02810531 -0.015318804 + expected$covM0$Item9[1, ] 0.21669891 0.09921175 -0.02810089 -0.015318989 - actual$covM0$Item9[2, ] 0.09920145 0.53736380 0.23993657 -0.029885042 + expected$covM0$Item9[2, ] 0.09921175 0.53736971 0.23993405 -0.029884439 - actual$covM0$Item9[3, ] -0.02810531 0.23993657 0.13909816 -0.010791228 + expected$covM0$Item9[3, ] -0.02810089 0.23993405 0.13909431 -0.010790751 - actual$covM0$Item9[4, ] -0.01531880 -0.02988504 -0.01079123 0.002880068 + expected$covM0$Item9[4, ] -0.01531899 -0.02988444 -0.01079075 0.002879954 actual$covM0$Item11 vs expected$covM0$Item11 [,1] [,2] [,3] [,4] - actual$covM0$Item11[1, ] 0.31726123 -0.05669515 -0.16785082 -0.011100733 + expected$covM0$Item11[1, ] 0.31726118 -0.05669517 -0.16785082 -0.011100729 - actual$covM0$Item11[2, ] -0.05669515 0.63661471 0.42438104 -0.044653974 + expected$covM0$Item11[2, ] -0.05669517 0.63661475 0.42438108 -0.044653976 - actual$covM0$Item11[3, ] -0.16785082 0.42438104 0.34450524 -0.024960115 + expected$covM0$Item11[3, ] -0.16785082 0.42438108 0.34450526 -0.024960118 - actual$covM0$Item11[4, ] -0.01110073 -0.04465397 -0.02496011 0.004716595 + expected$covM0$Item11[4, ] -0.01110073 -0.04465398 -0.02496012 0.004716595 actual$covM0$Item13 vs expected$covM0$Item13 [,1] [,2] [,3] [,4] - actual$covM0$Item13[1, ] 0.33243706 -0.15554523 -0.029739605 -0.02580202 + expected$covM0$Item13[1, ] 0.33243616 -0.15554292 -0.029739639 -0.02580286 - actual$covM0$Item13[2, ] -0.15554523 0.52443427 0.045822417 -0.21908648 + expected$covM0$Item13[2, ] -0.15554292 0.52443349 0.045822766 -0.21908733 - actual$covM0$Item13[3, ] -0.02973960 0.04582242 0.005915516 -0.01549431 + expected$covM0$Item13[3, ] -0.02973964 0.04582277 0.005915598 -0.01549452 - actual$covM0$Item13[4, ] -0.02580202 -0.21908648 -0.015494306 0.12751137 + expected$covM0$Item13[4, ] -0.02580286 -0.21908733 -0.015494520 0.12751232 actual$covM0$Item14 vs expected$covM0$Item14 [,1] [,2] [,3] [,4] - actual$covM0$Item14[1, ] 0.49370721 0.06430097 -0.02562503 -0.23252192 + expected$covM0$Item14[1, ] 0.49370779 0.06430145 -0.02562498 -0.23252255 - actual$covM0$Item14[2, ] 0.06430097 0.66481006 0.11747525 -0.51281016 + expected$covM0$Item14[2, ] 0.06430145 0.66481055 0.11747544 -0.51281095 - actual$covM0$Item14[3, ] -0.02562503 0.11747525 0.02513461 -0.07948284 + expected$covM0$Item14[3, ] -0.02562498 0.11747544 0.02513467 -0.07948304 - actual$covM0$Item14[4, ] -0.23252192 -0.51281016 -0.07948284 0.47384071 + expected$covM0$Item14[4, ] -0.23252255 -0.51281095 -0.07948304 0.47384173 actual$covM0$Item15 vs expected$covM0$Item15 [,1] [,2] [,3] [,4] - actual$covM0$Item15[1, ] 0.60137806 -0.2033310 -0.2531193 -0.01492302 + expected$covM0$Item15[1, ] 0.60135048 -0.2033324 -0.2531145 -0.01491655 - actual$covM0$Item15[2, ] -0.20333105 0.9239239 0.5597288 -0.46550302 + expected$covM0$Item15[2, ] -0.20333244 0.9239277 0.5597316 -0.46550469 - actual$covM0$Item15[3, ] -0.25311935 0.5597288 0.3746868 -0.25885124 + expected$covM0$Item15[3, ] -0.25311450 0.5597316 0.3746876 -0.25885369 - actual$covM0$Item15[4, ] -0.01492302 -0.4655030 -0.2588512 0.26462331 + expected$covM0$Item15[4, ] -0.01491655 -0.4655047 -0.2588537 0.26462281 actual$parM1$Item2 | expected$parM1$Item2 [1] 0.548409830 - 0.548409842 [1] [2] 1.789779848 - 1.789779824 [2] [3] -0.355700992 - -0.355698420 [3] [4] 0.414195831 - 0.414259525 [4] [5] 0.000000000 | 0.000000000 [5] [6] 0.044729213 - 0.044734175 [6] [7] 0.783276974 - 0.783276972 [7] [8] 0.039050319 - 0.039046109 [8] actual$parM1$Item3 | expected$parM1$Item3 [1] -2.3199631 - -2.3197733 [1] [2] 5.3421365 - 5.3415445 [2] [3] -25.4964528 - -25.4964281 [3] [4] 9.8076985 - 9.8081699 [4] [5] 0.0376932 - 0.0376918 [5] [6] 0.0437675 - 0.0437688 [6] [7] 0.3018453 - 0.3018493 [7] [8] 0.6981547 - 0.6981507 [8] actual$parM1$Item4 | expected$parM1$Item4 [1] -1.567209923 - -1.567209311 [1] [2] 1.903818995 - 1.903817654 [2] [3] 1.011419581 - 1.011419036 [3] [4] -0.062105562 - -0.062104333 [4] [5] 0.112839514 - 0.112839428 [5] [6] -0.112839514 - -0.112839428 [6] [7] 0.971993138 - 0.971993376 [7] [8] -0.036729069 - -0.036729310 [8] actual$parM1$Item5 | expected$parM1$Item5 [1] 5.12797 - 5.16284 [1] [2] 8.07602 - 8.10857 [2] [3] -4.10592 - -4.14541 [3] [4] -6.69324 - -6.72599 [4] [5] 0.26881 - 0.26828 [5] [6] -0.26881 - -0.26828 [6] [7] 0.82650 - 0.82589 [7] [8] -0.03161 - -0.03059 [8] actual$parM1$Item6 | expected$parM1$Item6 [1] 0.54915291 - 0.54915597 [1] [2] 1.16980187 - 1.16980434 [2] [3] 0.16302451 - 0.16302139 [3] [4] 0.11036885 - 0.11036628 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 0.91472809 - 0.91472732 [7] [8] 0.08527191 - 0.08527268 [8] actual$parM1$Item7 | expected$parM1$Item7 [1] -1.854092975 - -1.854092274 [1] [2] 1.162006272 - 1.162005916 [2] [3] 0.721442516 - 0.721441760 [3] [4] -0.169188466 - -0.169188006 [4] [5] 0.080101984 - 0.080101913 [5] [6] -0.080101984 - -0.080101913 [6] [7] 1.000000000 | 1.000000000 [7] [8] 0.000000000 | 0.000000000 [8] actual$parM1$Item8 | expected$parM1$Item8 [1] -1.4729980 - -1.4730029 [1] [2] 1.6516312 - 1.6518039 [2] [3] -0.8481872 - -0.8481823 [3] [4] -0.3600650 - -0.3602377 [4] [5] 0.0384072 - 0.0384135 [5] [6] -0.0384072 - -0.0384135 [6] [7] 0.5958526 - 0.5958153 [7] [8] 0.0759435 - 0.0759808 [8] actual$parM1$Item9 | expected$parM1$Item9 [1] 2.0691320 - 2.0691010 [1] [2] 1.8190875 - 1.8190633 [2] [3] -0.1501738 - -0.1501237 [3] [4] -0.2347559 - -0.2347183 [4] [5] 0.0000000 | 0.0000000 [5] [6] 0.0000000 | 0.0000000 [6] [7] 0.9215582 - 0.9215604 [7] [8] 0.0343620 - 0.0343582 [8] actual$parM1$Item10 | expected$parM1$Item10 [1] 0.46843 - 0.46672 [1] [2] 1.24360 - 1.24293 [2] [3] 0.33282 - 0.33068 [3] [4] 0.05890 - 0.05762 [4] [5] 0.00000 | 0.00000 [5] [6] 0.00000 | 0.00000 [6] [7] 0.98901 - 0.98955 [7] [8] 0.00956 - 0.01001 [8] actual$parM1$Item11 | expected$parM1$Item11 [1] 0.128202655 - 0.128183950 [1] [2] 1.125003661 - 1.125023799 [2] [3] 3.463543589 - 3.463561224 [3] [4] 1.510459054 - 1.510437940 [4] [5] 0.330662387 - 0.330668718 [5] [6] -0.330662387 - -0.330668718 [6] [7] 1.000000000 | 1.000000000 [7] [8] -0.042567298 - -0.042567283 [8] actual$parM1$Item12 | expected$parM1$Item12 [1] -2.104040882 - -2.104031973 [1] [2] 1.107953117 - 1.107948014 [2] [3] 1.445234304 - 1.445225411 [3] [4] 0.233239884 - 0.233244931 [4] [5] 0.098411279 - 0.098410593 [5] [6] -0.008780327 - -0.008779648 [6] [7] 1.000000000 | 1.000000000 [7] [8] -0.307435122 - -0.307435112 [8] actual$parM1$Item13 | expected$parM1$Item13 [1] -0.92711855 - -0.92711599 [1] [2] 1.01643331 - 1.01643212 [2] [3] -1.38139064 - -1.38140303 [3] [4] 0.67161738 - 0.67162536 [4] [5] 0.05590652 - 0.05590597 [5] [6] 0.09865493 - 0.09865600 [6] [7] 1.00000000 | 1.00000000 [7] [8] 0.00000000 | 0.00000000 [8] `actual$parM1$Item14`: -0.2 3.0 -1.8 -1.6 0.1 0.0 0.5 0.5 `expected$parM1$Item14`: NA NA NA NA NA NA NA NA actual$parM1$Item15 | expected$parM1$Item15 [1] 0.35938123 - 0.35938085 [1] [2] 0.92645356 - 0.92645250 [2] [3] -0.70337283 - -0.70337258 [3] [4] -0.29152945 - -0.29152742 [4] [5] 0.00000000 | 0.00000000 [5] [6] 0.00000000 | 0.00000000 [6] [7] 1.00000000 | 1.00000000 [7] actual$seM1$Item2 | expected$seM1$Item2 [1] 0.552405130 - 0.552405157 [1] [2] 1.110828496 - 1.110828561 [2] [3] 0.725335883 - 0.725336841 [3] [4] 1.507641229 - 1.507657654 [4] [5] 0.214041286 - 0.214041298 [5] [6] 0.240956580 - 0.240954837 [6] [7] 0.116391208 - 0.116391215 [7] [8] 0.151066110 - 0.151064468 [8] actual$seM1$Item3 | expected$seM1$Item3 [1] 2.01441185 - 2.01422145 [1] [2] 4.55481384 - 4.55422652 [2] [3] 45.88628206 - 45.88470108 [3] [4] 27.17529638 - 27.17429000 [4] [5] 0.03196063 - 0.03196191 [5] [6] 0.03831176 - 0.03831283 [6] [7] 0.05301940 - 0.05302205 [7] [8] 0.15715096 - 0.15715189 [8] actual$seM1$Item4 | expected$seM1$Item4 [1] 0.642819527 - 0.642819304 [1] [2] 0.961230077 - 0.961229614 [2] [3] 0.762108561 - 0.762108396 [3] [4] 1.213841240 - 1.213840174 [4] [5] 0.078494417 - 0.078494480 [5] [6] 0.125287868 - 0.125287890 [6] [7] 0.234655852 - 0.234656108 [7] [8] 0.271485350 - 0.271485545 [8] actual$seM1$Item5 | expected$seM1$Item5 [1] 2.831687 - 2.843232 [1] [2] 4.884886 - 4.881027 [2] [3] 2.919046 - 2.929939 [3] [4] 5.007261 - 5.003131 [4] [5] 0.088102 - 0.088051 [5] [6] 0.411614 - 0.410328 [6] [7] 0.041607 - 0.041566 [7] [8] 0.133356 - 0.133532 [8] actual$seM1$Item6 | expected$seM1$Item6 [1] 0.730603729 - 0.730602809 [1] [2] 1.135651677 - 1.135651553 [2] [3] 0.918260759 - 0.918260251 [3] [4] 1.413724919 - 1.413724857 [4] [5] 0.524381051 - 0.524379810 [5] [6] 0.645519595 - 0.645518695 [6] [7] 0.221429964 - 0.221428820 [7] [8] 0.269873098 - 0.269872183 [8] actual$seM1$Item7 | expected$seM1$Item7 [1] 1.026425210 - 1.026425305 [1] [2] 1.245751340 - 1.245751287 [2] [3] 1.238218184 - 1.238218222 [3] [4] 1.507201316 - 1.507201091 [4] [5] 0.131341587 - 0.131341674 [5] [6] 0.222342697 - 0.222342694 [6] [7] 1.070633692 - 1.070633996 [7] [8] 1.232382485 - 1.232382611 [8] actual$seM1$Item8 | expected$seM1$Item8 [1] 0.8085484 - 0.8085699 [1] [2] 1.1780994 - 1.1781691 [2] [3] 1.2789891 - 1.2790027 [3] [4] 1.6155253 - 1.6155762 [4] [5] 0.0737609 - 0.0737526 [5] [6] 0.0983961 - 0.0983899 [6] [7] 0.2400120 - 0.2399573 [7] [8] 0.6294437 - 0.6294228 [8] actual$seM1$Item9 | expected$seM1$Item9 [1] 0.69061453 - 0.69060975 [1] [2] 1.15434519 - 1.15433921 [2] [3] 0.95084234 - 0.95084034 [3] [4] 1.52067646 - 1.52067364 [4] [5] 0.53704129 - 0.53704891 [5] [6] 0.75152247 - 0.75152470 [6] [7] 0.07119869 - 0.07119991 [7] [8] 0.10501630 - 0.10501641 [8] actual$seM1$Item10 | expected$seM1$Item10 [1] 0.595041 - 0.594891 [1] [2] 0.970029 - 0.969557 [2] [3] 0.807290 - 0.807024 [3] [4] 1.276810 - 1.275855 [4] [5] 0.416901 - 0.416843 [5] [6] 0.562600 - 0.562674 [6] [7] 0.200888 - 0.201230 [7] [8] 0.246264 - 0.246819 [8] actual$seM1$Item11 | expected$seM1$Item11 [1] 0.8419896 - 0.8419775 [1] [2] 1.3140020 - 1.3139954 [2] [3] 1.4691407 - 1.4691334 [3] [4] 1.8800335 - 1.8800289 [4] [5] 0.3588125 - 0.3587939 [5] [6] 0.5100984 - 0.5100855 [6] [7] 0.2566619 - 0.2566554 [7] [8] 0.2601705 - 0.2601641 [8] actual$seM1$Item12 | expected$seM1$Item12 [1] 1.46620433 - 1.46621145 [1] [2] 1.56125221 - 1.56125317 [2] [3] 1.67980272 - 1.67980895 [3] [4] 1.98082483 - 1.98082551 [4] [5] 0.13784176 - 0.13784310 [5] [6] 0.20204308 - 0.20204400 [6] [7] 1.72534323 - 1.72535389 [7] [8] 1.74329722 - 1.74330780 [8] actual$seM1$Item13 | expected$seM1$Item13 [1] 0.848260328 - 0.848260525 [1] [2] 1.149874896 - 1.149875238 [2] [3] 1.255096894 - 1.255099472 [3] [4] 1.531206150 - 1.531207479 [4] [5] 0.253245757 - 0.253246679 [5] [6] 0.262327780 - 0.262328580 [6] [7] 0.730205217 - 0.730205972 [7] [8] 0.816108812 - 0.816108756 [8] `actual$seM1$Item14` is a double vector (0.893497398110729, 2.57281931084159, 1.23596891962177, 2.7577886465888, 0.0848166469217657, ...) `expected$seM1$Item14` is a logical vector (NA, NA, NA, NA, NA, ...) actual$seM1$Item15 | expected$seM1$Item15 [1] 0.95061735 - 0.95061909 [1] [2] 1.30016990 - 1.30017136 [2] [3] 1.54750906 - 1.54750791 [3] [4] 1.93544833 - 1.93544739 [4] [5] 0.81941644 - 0.81941848 [5] [6] 1.17045038 - 1.17044962 [6] [7] 0.40982958 - 0.40983069 [7] [8] 1.25697730 - 1.25697337 [8] actual$covM1$Item2 vs expected$covM1$Item2 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item2[1, ] 0.30515143 0.06054241 -0.30515146 -0.06054247 -0.04313702 0.04313702 -0.03341430 0.03341430 + expected$covM1$Item2[1, ] 0.30515146 0.06054246 -0.30515146 -0.06054249 -0.04313702 0.04313702 -0.03341430 0.03341431 - actual$covM1$Item2[2, ] 0.06054241 1.23393995 -0.06054241 -1.23394012 0.19807170 -0.19807171 -0.09865889 0.09865890 + expected$covM1$Item2[2, ] 0.06054246 1.23394009 -0.06054245 -1.23394020 0.19807172 -0.19807173 -0.09865891 0.09865891 - actual$covM1$Item2[3, ] -0.30515146 -0.06054241 0.52611214 0.09132583 0.04313703 -0.06515984 0.03341430 -0.05741240 + expected$covM1$Item2[3, ] -0.30515146 -0.06054245 0.52611353 0.09133095 0.04313702 -0.06515891 0.03341430 -0.05741208 - actual$covM1$Item2[4, ] -0.06054247 -1.23394012 0.09132583 2.27298208 -0.19807172 0.28027232 0.09865891 -0.16624410 + expected$covM1$Item2[4, ] -0.06054249 -1.23394020 0.09133095 2.27303160 -0.19807173 0.28027037 0.09865892 -0.16624311 - actual$covM1$Item2[5, ] -0.04313702 0.19807170 0.04313703 -0.19807172 0.04581367 -0.04581367 -0.01272400 0.01272400 + expected$covM1$Item2[5, ] -0.04313702 0.19807172 0.04313702 -0.19807173 0.04581368 -0.04581368 -0.01272400 0.01272400 - actual$covM1$Item2[6, ] 0.04313702 -0.19807171 -0.06515984 0.28027232 -0.04581367 0.05806007 0.01272400 -0.01668542 + expected$covM1$Item2[6, ] 0.04313702 -0.19807173 -0.06515891 0.28027037 -0.04581368 0.05805923 0.01272400 -0.01668506 - actual$covM1$Item2[7, ] -0.03341430 -0.09865889 0.03341430 0.09865891 -0.01272400 0.01272400 0.01354691 -0.01354691 + expected$covM1$Item2[7, ] -0.03341430 -0.09865891 0.03341430 0.09865892 -0.01272400 0.01272400 0.01354692 -0.01354692 - actual$covM1$Item2[8, ] 0.03341430 0.09865890 -0.05741240 -0.16624410 0.01272400 -0.01668542 -0.01354691 0.02282097 + expected$covM1$Item2[8, ] 0.03341431 0.09865891 -0.05741208 -0.16624311 0.01272400 -0.01668506 -0.01354692 0.02282047 actual$covM1$Item3 vs expected$covM1$Item3 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item3[1, ] 4.05785509 -7.87861491 -4.057855e+00 7.878615e+00 -0.0363867486 0.0363867488 0.0185489041 -0.0185488934 + expected$covM1$Item3[1, ] 4.05708804 -7.87672878 -4.057092e+00 7.876731e+00 -0.0363876397 0.0363876397 0.0185481640 -0.0185481760 - actual$covM1$Item3[2, ] -7.87861491 20.74632916 7.878620e+00 -2.074633e+01 0.0631582061 -0.0631582065 -0.1118375547 0.1118375256 + expected$covM1$Item3[2, ] -7.87672878 20.74097921 7.876741e+00 -2.074099e+01 0.0631586701 -0.0631586701 -0.1118357009 0.1118357328 - actual$covM1$Item3[3, ] -4.05785466 7.87861964 2.105551e+03 -1.235778e+03 0.0363867371 -0.0728074475 -0.0185489796 4.2813044623 + expected$covM1$Item3[3, ] -4.05709191 7.87674094 2.105406e+03 -1.235692e+03 0.0363876680 -0.0728079551 -0.0185482465 4.2811523979 - actual$covM1$Item3[4, ] 7.87861453 -20.74633144 -1.235778e+03 7.384967e+02 -0.0631581986 0.0822778909 0.1118375950 -2.6177337294 + expected$covM1$Item3[4, ] 7.87673093 -20.74098592 -1.235692e+03 7.384420e+02 -0.0631586859 0.0822781447 0.1118357460 -2.6176435164 - actual$covM1$Item3[5, ] -0.03638675 0.06315821 3.638674e-02 -6.315820e-02 0.0010214817 -0.0010214817 -0.0002134556 0.0002134555 + expected$covM1$Item3[5, ] -0.03638764 0.06315867 3.638767e-02 -6.315869e-02 0.0010215636 -0.0010215636 -0.0002135192 0.0002135193 - actual$covM1$Item3[6, ] 0.03638675 -0.06315821 -7.280745e-02 8.227789e-02 -0.0010214817 0.0014677913 0.0002134556 -0.0002495478 + expected$covM1$Item3[6, ] 0.03638764 -0.06315867 -7.280796e-02 8.227814e-02 -0.0010215636 0.0014678733 0.0002135192 -0.0002496122 - actual$covM1$Item3[7, ] 0.01854890 -0.11183755 -1.854898e-02 1.118376e-01 -0.0002134556 0.0002134556 0.0028110571 -0.0028110569 + expected$covM1$Item3[7, ] 0.01854816 -0.11183570 -1.854825e-02 1.118357e-01 -0.0002135192 0.0002135192 0.0028113378 -0.0028113380 - actual$covM1$Item3[8, ] -0.01854889 0.11183753 4.281304e+00 -2.617734e+00 0.0002134555 -0.0002495478 -0.0028110569 0.0246964255 + expected$covM1$Item3[8, ] -0.01854818 0.11183573 4.281152e+00 -2.617644e+00 0.0002135193 -0.0002496122 -0.0028113380 0.0246967159 actual$covM1$Item4 vs expected$covM1$Item4 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item4[1, ] 0.413216944 -0.35539902 -0.413216941 0.35539899 -0.039550690 0.039550686 0.008273772 -0.008273776 + expected$covM1$Item4[1, ] 0.413216657 -0.35539845 -0.413216667 0.35539821 -0.039550703 0.039550689 0.008273723 -0.008273715 - actual$covM1$Item4[2, ] -0.355399016 0.92396326 0.355398995 -0.92396316 0.056609039 -0.056609025 -0.179534054 0.179534064 + expected$covM1$Item4[2, ] -0.355398450 0.92396237 0.355398486 -0.92396174 0.056609075 -0.056609036 -0.179534198 0.179534178 - actual$covM1$Item4[3, ] -0.413216941 0.35539900 0.580809459 -0.45634154 0.039550690 -0.066430525 -0.008273767 -0.004042090 + expected$covM1$Item4[3, ] -0.413216667 0.35539849 0.580809207 -0.45634078 0.039550705 -0.066430533 -0.008273730 -0.004042139 - actual$covM1$Item4[4, ] 0.355398986 -0.92396316 -0.456341540 1.47341056 -0.056609033 0.111534391 0.179534031 -0.255284750 + expected$covM1$Item4[4, ] 0.355398213 -0.92396174 -0.456340783 1.47340797 -0.056609036 0.111534329 0.179534074 -0.255284706 - actual$covM1$Item4[5, ] -0.039550690 0.05660904 0.039550690 -0.05660903 0.006161374 -0.006161373 -0.008446771 0.008446772 + expected$covM1$Item4[5, ] -0.039550703 0.05660907 0.039550705 -0.05660904 0.006161383 -0.006161381 -0.008446793 0.008446792 - actual$covM1$Item4[6, ] 0.039550686 -0.05660903 -0.066430525 0.11153439 -0.006161373 0.015697050 0.008446769 -0.014274250 + expected$covM1$Item4[6, ] 0.039550689 -0.05660904 -0.066430533 0.11153433 -0.006161381 0.015697055 0.008446786 -0.014274262 - actual$covM1$Item4[7, ] 0.008273772 -0.17953405 -0.008273767 0.17953403 -0.008446771 0.008446769 0.055063369 -0.055063371 + expected$covM1$Item4[7, ] 0.008273723 -0.17953420 -0.008273730 0.17953407 -0.008446793 0.008446786 0.055063489 -0.055063485 - actual$covM1$Item4[8, ] -0.008273776 0.17953406 -0.004042090 -0.25528475 0.008446772 -0.014274250 -0.055063371 0.073704295 + expected$covM1$Item4[8, ] -0.008273715 0.17953418 -0.004042139 -0.25528471 0.008446792 -0.014274262 -0.055063485 0.073704401 actual$covM1$Item5 vs expected$covM1$Item5 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item5[1, ] 8.01845020 13.18869615 -8.01845002 -13.18869600 0.0937204300 -0.0937205098 -0.0419188887 0.0419189140 + expected$covM1$Item5[1, ] 8.08396658 13.22870342 -8.08396632 -13.22870373 0.0931436084 -0.0931438048 -0.0420419459 0.0420419882 - actual$covM1$Item5[2, ] 13.18869615 23.86210892 -13.18869583 -23.86210864 0.2265875446 -0.2265876888 -0.0527737456 0.0527737885 + expected$covM1$Item5[2, ] 13.22870342 23.82442586 -13.22870297 -23.82442642 0.2250768467 -0.2250771953 -0.0526480731 0.0526481476 - actual$covM1$Item5[3, ] -8.01845002 -13.18869583 8.52082983 13.23272526 -0.0937204269 -0.0104873976 0.0419188880 -0.0839862273 + expected$covM1$Item5[3, ] -8.08396632 -13.22870297 8.58454043 13.27214216 -0.0931436045 -0.0106856180 0.0420419447 -0.0840730119 - actual$covM1$Item5[4, ] -13.18869600 -23.86210864 13.23272526 25.07266650 -0.2265875421 0.6165787686 0.0527737449 -0.1660007115 + expected$covM1$Item5[4, ] -13.22870373 -23.82442642 13.27214216 25.03131616 -0.2250768519 0.6131749712 0.0526480743 -0.1658866730 - actual$covM1$Item5[5, ] 0.09372043 0.22658754 -0.09372043 -0.22658754 0.0077620424 -0.0077620438 -0.0002204438 0.0002204442 + expected$covM1$Item5[5, ] 0.09314361 0.22507685 -0.09314360 -0.22507685 0.0077529840 -0.0077529872 -0.0002142025 0.0002142032 - actual$covM1$Item5[6, ] -0.09372051 -0.22658769 -0.01048740 0.61657877 -0.0077620438 0.1694263572 0.0002204442 -0.0302539783 + expected$covM1$Item5[6, ] -0.09314380 -0.22507720 -0.01068562 0.61317497 -0.0077529872 0.1683692035 0.0002142033 -0.0301949874 - actual$covM1$Item5[7, ] -0.04191889 -0.05277375 0.04191889 0.05277374 -0.0002204438 0.0002204442 0.0017311666 -0.0017311668 + expected$covM1$Item5[7, ] -0.04204195 -0.05264807 0.04204194 0.05264807 -0.0002142025 0.0002142033 0.0017277220 -0.0017277222 - actual$covM1$Item5[8, ] 0.04191891 0.05277379 -0.08398623 -0.16600071 0.0002204442 -0.0302539783 -0.0017311668 0.0177839368 + expected$covM1$Item5[8, ] 0.04204199 0.05264815 -0.08407301 -0.16588667 0.0002142032 -0.0301949874 -0.0017277222 0.0178307405 actual$covM1$Item6 vs expected$covM1$Item6 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item6[1, ] 0.53378181 -0.2054028 -0.53378176 0.2054028 -0.22140459 0.22140457 -0.02306589 0.02306589 + expected$covM1$Item6[1, ] 0.53378046 -0.2054014 -0.53378054 0.2054014 -0.22140348 0.22140349 -0.02306605 0.02306606 - actual$covM1$Item6[2, ] -0.20540283 1.2897047 0.20540275 -1.2897048 0.54528570 -0.54528570 -0.22167027 0.22167026 + expected$covM1$Item6[2, ] -0.20540138 1.2897044 0.20540146 -1.2897046 0.54528421 -0.54528427 -0.22166897 0.22166897 - actual$covM1$Item6[3, ] -0.53378176 0.2054027 0.84320282 -0.2335129 0.22140454 -0.31653528 0.02306590 -0.05500887 + expected$covM1$Item6[3, ] -0.53378054 0.2054015 0.84320189 -0.2335118 0.22140353 -0.31653440 0.02306604 -0.05500902 - actual$covM1$Item6[4, ] 0.20540281 -1.2897048 -0.23351295 1.9986181 -0.54528573 0.82688962 0.22167029 -0.32976718 + expected$covM1$Item6[4, ] 0.20540139 -1.2897046 -0.23351182 1.9986180 -0.54528426 0.82688830 0.22166899 -0.32976591 - actual$covM1$Item6[5, ] -0.22140459 0.5452857 0.22140454 -0.5452857 0.27497549 -0.27497548 -0.08196554 0.08196554 + expected$covM1$Item6[5, ] -0.22140348 0.5452842 0.22140353 -0.5452843 0.27497419 -0.27497421 -0.08196483 0.08196482 - actual$covM1$Item6[6, ] 0.22140457 -0.5452857 -0.31653528 0.8268896 -0.27497548 0.41669555 0.08196554 -0.11775072 + expected$covM1$Item6[6, ] 0.22140349 -0.5452843 -0.31653440 0.8268883 -0.27497421 0.41669439 0.08196484 -0.11775003 - actual$covM1$Item6[7, ] -0.02306589 -0.2216703 0.02306590 0.2216703 -0.08196554 0.08196554 0.04903123 -0.04903123 + expected$covM1$Item6[7, ] -0.02306605 -0.2216690 0.02306604 0.2216690 -0.08196483 0.08196484 0.04903072 -0.04903072 - actual$covM1$Item6[8, ] 0.02306589 0.2216703 -0.05500887 -0.3297672 0.08196554 -0.11775072 -0.04903123 0.07283149 + expected$covM1$Item6[8, ] 0.02306606 0.2216690 -0.05500902 -0.3297659 0.08196482 -0.11775003 -0.04903072 0.07283100 actual$covM1$Item7 vs expected$covM1$Item7 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item7[1, ] 1.05354871 0.05909203 -1.053548728 -0.059092064 -0.04146779 0.04146779 -0.49205770 0.49205773 + expected$covM1$Item7[1, ] 1.05354891 0.05909267 -1.053548924 -0.059092653 -0.04146776 0.04146777 -0.49205829 0.49205830 - actual$covM1$Item7[2, ] 0.05909203 1.55189640 -0.059091947 -1.551896440 0.14354980 -0.14354982 -1.20400357 1.20400360 + expected$covM1$Item7[2, ] 0.05909267 1.55189627 -0.059092592 -1.551896136 0.14354990 -0.14354988 -1.20400392 1.20400385 - actual$covM1$Item7[3, ] -1.05354873 -0.05909195 1.533184270 0.004085243 0.04146780 -0.09524013 0.49205764 -0.62935304 + expected$covM1$Item7[3, ] -1.05354892 -0.05909259 1.533184366 0.004085817 0.04146777 -0.09524010 0.49205824 -0.62935357 - actual$covM1$Item7[4, ] -0.05909206 -1.55189644 0.004085243 2.271655807 -0.14354980 0.27932832 1.20400361 -1.66658587 + expected$covM1$Item7[4, ] -0.05909265 -1.55189614 0.004085817 2.271655128 -0.14354989 0.27932830 1.20400381 -1.66658577 - actual$covM1$Item7[5, ] -0.04146779 0.14354980 0.041467800 -0.143549802 0.01725061 -0.01725061 -0.09547115 0.09547115 + expected$covM1$Item7[5, ] -0.04146776 0.14354990 0.041467771 -0.143549886 0.01725064 -0.01725063 -0.09547125 0.09547125 - actual$covM1$Item7[6, ] 0.04146779 -0.14354982 -0.095240130 0.279328317 -0.01725061 0.04943627 0.09547117 -0.17080804 + expected$covM1$Item7[6, ] 0.04146777 -0.14354988 -0.095240102 0.279328302 -0.01725063 0.04943627 0.09547124 -0.17080805 - actual$covM1$Item7[7, ] -0.49205770 -1.20400357 0.492057644 1.204003614 -0.09547115 0.09547117 1.14625650 -1.14625654 + expected$covM1$Item7[7, ] -0.49205829 -1.20400392 0.492058235 1.204003810 -0.09547125 0.09547124 1.14625715 -1.14625711 - actual$covM1$Item7[8, ] 0.49205773 1.20400360 -0.629353039 -1.666585867 0.09547115 -0.17080804 -1.14625654 1.51876659 + expected$covM1$Item7[8, ] 0.49205830 1.20400385 -0.629353572 -1.666585768 0.09547125 -0.17080805 -1.14625711 1.51876690 actual$covM1$Item8 vs expected$covM1$Item8 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item8[1, ] 0.653750466 -0.44914188 -0.653750466 0.44914187 -0.044385362 0.044385362 -0.005721698 0.005721704 + expected$covM1$Item8[1, ] 0.653785288 -0.44925180 -0.653785274 0.44925181 -0.044383941 0.044383942 -0.005709095 0.005709083 - actual$covM1$Item8[2, ] -0.449141877 1.38791828 0.449141861 -1.38791822 0.068817708 -0.068817706 -0.234096416 0.234096390 + expected$covM1$Item8[2, ] -0.449251797 1.38808238 0.449251736 -1.38808240 0.068811560 -0.068811561 -0.234050353 0.234050386 - actual$covM1$Item8[3, ] -0.653750466 0.44914186 1.635813034 -0.89301017 0.044385361 -0.087216409 0.005721701 -0.055468322 + expected$covM1$Item8[3, ] -0.653785274 0.44925174 1.635847779 -0.89312006 0.044383938 -0.087214985 0.005709106 -0.055455691 - actual$covM1$Item8[4, ] 0.449141868 -1.38791822 -0.893010173 2.60992215 -0.068817706 0.126928002 0.234096406 -0.784572769 + expected$covM1$Item8[4, ] 0.449251805 -1.38808240 -0.893120064 2.61008653 -0.068811561 0.126921862 0.234050355 -0.784526835 - actual$covM1$Item8[5, ] -0.044385362 0.06881771 0.044385361 -0.06881771 0.005440665 -0.005440665 -0.009169083 0.009169082 + expected$covM1$Item8[5, ] -0.044383941 0.06881156 0.044383938 -0.06881156 0.005439443 -0.005439443 -0.009165181 0.009165183 - actual$covM1$Item8[6, ] 0.044385362 -0.06881771 -0.087216409 0.12692800 -0.005440665 0.009681794 0.009169083 -0.030680480 + expected$covM1$Item8[6, ] 0.044383942 -0.06881156 -0.087214985 0.12692186 -0.005439443 0.009680572 0.009165181 -0.030676583 - actual$covM1$Item8[7, ] -0.005721698 -0.23409642 0.005721701 0.23409641 -0.009169083 0.009169083 0.057605779 -0.057605774 + expected$covM1$Item8[7, ] -0.005709095 -0.23405035 0.005709106 0.23405035 -0.009165181 0.009165181 0.057579494 -0.057579500 - actual$covM1$Item8[8, ] 0.005721704 0.23409639 -0.055468322 -0.78457277 0.009169082 -0.030680480 -0.057605774 0.396199341 + expected$covM1$Item8[8, ] 0.005709083 0.23405039 -0.055455691 -0.78452683 0.009165183 -0.030676583 -0.057579500 0.396173090 actual$covM1$Item9 vs expected$covM1$Item9 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item9[1, ] 0.47694843 0.26391757 -0.47694847 -0.26391794 -0.04644033 0.04644015 -0.031384704 0.031384717 + expected$covM1$Item9[1, ] 0.47694182 0.26389351 -0.47694182 -0.26389335 -0.04644957 0.04644966 -0.031384335 0.031384331 - actual$covM1$Item9[2, ] 0.26391757 1.33251282 -0.26391740 -1.33251319 0.54226713 -0.54226737 -0.060190039 0.060190036 + expected$covM1$Item9[2, ] 0.26389351 1.33249900 -0.26389340 -1.33249892 0.54227319 -0.54227314 -0.060191115 0.060191116 - actual$covM1$Item9[3, ] -0.47694847 -0.26391740 0.90410116 0.46155828 0.04644043 -0.09546162 0.031384699 -0.062534372 + expected$covM1$Item9[3, ] -0.47694182 -0.26389340 0.90409736 0.46154531 0.04644961 -0.09546590 0.031384331 -0.062534184 - actual$covM1$Item9[4, ] -0.26391794 -1.33251319 0.46155828 2.31245689 -0.54226717 1.00042296 0.060190069 -0.119270450 + expected$covM1$Item9[4, ] -0.26389335 -1.33249892 0.46154531 2.31244832 -0.54227320 1.00042563 0.060191105 -0.119270731 - actual$covM1$Item9[5, ] -0.04644033 0.54226713 0.04644043 -0.54226717 0.28841335 -0.28841340 -0.019544279 0.019544273 + expected$covM1$Item9[5, ] -0.04644957 0.54227319 0.04644961 -0.54227320 0.28842154 -0.28842155 -0.019545103 0.019545105 - actual$covM1$Item9[6, ] 0.04644015 -0.54226737 -0.09546162 1.00042296 -0.28841340 0.56478602 0.019544296 -0.042082073 + expected$covM1$Item9[6, ] 0.04644966 -0.54227314 -0.09546590 1.00042563 -0.28842155 0.56478938 0.019545097 -0.042082266 - actual$covM1$Item9[7, ] -0.03138470 -0.06019004 0.03138470 0.06019007 -0.01954428 0.01954430 0.005069254 -0.005069255 + expected$covM1$Item9[7, ] -0.03138433 -0.06019112 0.03138433 0.06019111 -0.01954510 0.01954510 0.005069427 -0.005069427 - actual$covM1$Item9[8, ] 0.03138472 0.06019004 -0.06253437 -0.11927045 0.01954427 -0.04208207 -0.005069255 0.011028424 + expected$covM1$Item9[8, ] 0.03138433 0.06019112 -0.06253418 -0.11927073 0.01954510 -0.04208227 -0.005069427 0.011028447 actual$covM1$Item10 vs expected$covM1$Item10 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item10[1, ] 0.35407391 -0.1059987 -0.35407393 0.1059986 -0.13331065 0.13331063 -0.02622942 0.02622942 + expected$covM1$Item10[1, ] 0.35389496 -0.1060786 -0.35389488 0.1060786 -0.13329510 0.13329511 -0.02622100 0.02622099 - actual$covM1$Item10[2, ] -0.10599873 0.9409561 0.10599873 -0.9409561 0.36585078 -0.36585078 -0.16938830 0.16938837 + expected$covM1$Item10[2, ] -0.10607858 0.9400403 0.10607820 -0.9400404 0.36563983 -0.36563979 -0.16962426 0.16962427 - actual$covM1$Item10[3, ] -0.35407393 0.1059987 0.65171674 -0.1217540 0.13331066 -0.22307660 0.02622942 -0.05681743 + expected$covM1$Item10[3, ] -0.35389488 0.1060782 0.65128775 -0.1227036 0.13329494 -0.22336174 0.02622107 -0.05676038 - actual$covM1$Item10[4, ] 0.10599864 -0.9409561 -0.12175403 1.6302425 -0.36585075 0.64415833 0.16938831 -0.26727951 + expected$covM1$Item10[4, ] 0.10607865 -0.9400404 -0.12270358 1.6278054 -0.36563989 0.64382548 0.16962427 -0.26778007 - actual$covM1$Item10[5, ] -0.13331065 0.3658508 0.13331066 -0.3658507 0.17380660 -0.17380660 -0.05695872 0.05695874 + expected$covM1$Item10[5, ] -0.13329510 0.3656398 0.13329494 -0.3656399 0.17375774 -0.17375774 -0.05706582 0.05706583 - actual$covM1$Item10[6, ] 0.13331063 -0.3658508 -0.22307660 0.6441583 -0.17380660 0.31651869 0.05695872 -0.08981149 + expected$covM1$Item10[6, ] 0.13329511 -0.3656398 -0.22336174 0.6438255 -0.17375774 0.31660190 0.05706581 -0.09007437 - actual$covM1$Item10[7, ] -0.02622942 -0.1693883 0.02622942 0.1693883 -0.05695872 0.05695872 0.04035609 -0.04035610 + expected$covM1$Item10[7, ] -0.02622100 -0.1696243 0.02622107 0.1696243 -0.05706582 0.05706581 0.04049331 -0.04049331 - actual$covM1$Item10[8, ] 0.02622942 0.1693884 -0.05681743 -0.2672795 0.05695874 -0.08981149 -0.04035610 0.06064597 + expected$covM1$Item10[8, ] 0.02622099 0.1696243 -0.05676038 -0.2677801 0.05706583 -0.09007437 -0.04049331 0.06091960 actual$covM1$Item11 vs expected$covM1$Item11 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item11[1, ] 0.70894649 -0.2232497 -0.70894622 0.2232500 -0.16256796 0.16256799 -0.03869120 0.03869123 + expected$covM1$Item11[1, ] 0.70892610 -0.2232343 -0.70892610 0.2232347 -0.16255575 0.16255588 -0.03869272 0.03869273 - actual$covM1$Item11[2, ] -0.22324971 1.7266012 0.22324989 -1.7266010 0.43015169 -0.43015164 -0.30204230 0.30204228 + expected$covM1$Item11[2, ] -0.22323432 1.7265838 0.22323409 -1.7265840 0.43012574 -0.43012577 -0.30203207 0.30203208 - actual$covM1$Item11[3, ] -0.70894622 0.2232499 2.15837428 1.2173274 0.16256796 0.06080744 0.03869113 -0.07345647 + expected$covM1$Item11[3, ] -0.70892610 0.2232341 2.15835296 1.2173418 0.16255570 0.06081951 0.03869277 -0.07345808 - actual$covM1$Item11[4, ] 0.22324996 -1.7266010 1.21732741 3.5345261 -0.43015169 0.83177542 0.30204224 -0.33532597 + expected$covM1$Item11[4, ] 0.22323465 -1.7265840 1.21734176 3.5345086 -0.43012584 0.83174981 0.30203208 -0.33531585 - actual$covM1$Item11[5, ] -0.16256796 0.4301517 0.16256796 -0.4301517 0.12874640 -0.12874640 -0.06603188 0.06603187 + expected$covM1$Item11[5, ] -0.16255575 0.4301257 0.16255570 -0.4301258 0.12873303 -0.12873306 -0.06602612 0.06602612 - actual$covM1$Item11[6, ] 0.16256799 -0.4301516 0.06080744 0.8317754 -0.12874640 0.26020035 0.06603187 -0.07180132 + expected$covM1$Item11[6, ] 0.16255588 -0.4301258 0.06081951 0.8317498 -0.12873306 0.26018720 0.06602611 -0.07179558 - actual$covM1$Item11[7, ] -0.03869120 -0.3020423 0.03869113 0.3020422 -0.06603188 0.06603187 0.06587535 -0.06587535 + expected$covM1$Item11[7, ] -0.03869272 -0.3020321 0.03869277 0.3020321 -0.06602612 0.06602611 0.06587201 -0.06587201 - actual$covM1$Item11[8, ] 0.03869123 0.3020423 -0.07345647 -0.3353260 0.06603187 -0.07180132 -0.06587535 0.06768871 + expected$covM1$Item11[8, ] 0.03869273 0.3020321 -0.07345808 -0.3353158 0.06602612 -0.07179558 -0.06587201 0.06768537 actual$covM1$Item12 vs expected$covM1$Item12 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item12[1, ] 2.14975514 0.6371254 -2.14975506 -0.6371254 -0.01406078 0.01406077 -1.5846109 1.5846109 + expected$covM1$Item12[1, ] 2.14977602 0.6371468 -2.14977598 -0.6371468 -0.01405930 0.01405930 -1.5846421 1.5846421 - actual$covM1$Item12[2, ] 0.63712536 2.4375085 -0.63712508 -2.4375085 0.19101740 -0.19101742 -2.4657669 2.4657669 + expected$covM1$Item12[2, ] 0.63714682 2.4375115 -0.63714669 -2.4375114 0.19101958 -0.19101958 -2.4657851 2.4657851 - actual$covM1$Item12[3, ] -2.14975506 -0.6371251 2.82173719 0.3515804 0.01406080 -0.09040153 1.5846106 -1.6264848 + expected$covM1$Item12[3, ] -2.14977598 -0.6371467 2.82175811 0.3516020 0.01405931 -0.09040003 1.5846420 -1.6265163 - actual$covM1$Item12[4, ] -0.63712540 -2.4375085 0.35158037 3.9236670 -0.19101740 0.34241018 2.4657670 -2.7187565 + expected$covM1$Item12[4, ] -0.63714682 -2.4375114 0.35160203 3.9236697 -0.19101957 0.34241234 2.4657851 -2.7187746 - actual$covM1$Item12[5, ] -0.01406078 0.1910174 0.01406080 -0.1910174 0.01900035 -0.01900035 -0.1682629 0.1682629 + expected$covM1$Item12[5, ] -0.01405930 0.1910196 0.01405931 -0.1910196 0.01900072 -0.01900072 -0.1682660 0.1682660 - actual$covM1$Item12[6, ] 0.01406077 -0.1910174 -0.09040153 0.3424102 -0.01900035 0.04082141 0.1682630 -0.1893783 + expected$covM1$Item12[6, ] 0.01405930 -0.1910196 -0.09040003 0.3424123 -0.01900072 0.04082178 0.1682660 -0.1893814 - actual$covM1$Item12[7, ] -1.58461087 -2.4657669 1.58461058 2.4657670 -0.16826295 0.16826297 2.9768092 -2.9768092 + expected$covM1$Item12[7, ] -1.58464212 -2.4657851 1.58464198 2.4657851 -0.16826601 0.16826601 2.9768460 -2.9768460 - actual$covM1$Item12[8, ] 1.58461086 2.4657669 -1.62648484 -2.7187565 0.16826294 -0.18937834 -2.9768092 3.0390852 + expected$covM1$Item12[8, ] 1.58464212 2.4657851 -1.62651627 -2.7187746 0.16826600 -0.18938140 -2.9768460 3.0391221 actual$covM1$Item13 vs expected$covM1$Item13 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item13[1, ] 0.71954558 0.03048035 -0.71954557 -0.03048035 -0.06848619 0.06848619 -0.2438941 0.2438941 + expected$covM1$Item13[1, ] 0.71954592 0.03048081 -0.71954594 -0.03048081 -0.06848630 0.06848630 -0.2438945 0.2438945 - actual$covM1$Item13[2, ] 0.03048035 1.32221228 -0.03048044 -1.32221226 0.26451819 -0.26451819 -0.7703040 0.7703040 + expected$covM1$Item13[2, ] 0.03048081 1.32221306 -0.03048086 -1.32221304 0.26451931 -0.26451931 -0.7703051 0.7703051 - actual$covM1$Item13[3, ] -0.71954557 -0.03048044 1.57526821 -0.60788723 0.06848617 -0.11809758 0.2438942 -0.1999263 + expected$covM1$Item13[3, ] -0.71954594 -0.03048086 1.57527468 -0.60789320 0.06848630 -0.11809763 0.2438945 -0.1999257 - actual$covM1$Item13[4, ] -0.03048035 -1.32221226 -0.60788723 2.34459227 -0.26451819 0.31391654 0.7703040 -1.0549128 + expected$covM1$Item13[4, ] -0.03048081 -1.32221304 -0.60789320 2.34459634 -0.26451930 0.31391737 0.7703051 -1.0549127 - actual$covM1$Item13[5, ] -0.06848619 0.26451819 0.06848617 -0.26451819 0.06413341 -0.06413341 -0.1353449 0.1353449 + expected$covM1$Item13[5, ] -0.06848630 0.26451931 0.06848630 -0.26451930 0.06413388 -0.06413388 -0.1353456 0.1353456 - actual$covM1$Item13[6, ] 0.06848619 -0.26451819 -0.11809758 0.31391654 -0.06413341 0.06881586 0.1353449 -0.1456388 + expected$covM1$Item13[6, ] 0.06848630 -0.26451931 -0.11809763 0.31391737 -0.06413388 0.06881628 0.1353456 -0.1456393 - actual$covM1$Item13[7, ] -0.24389411 -0.77030397 0.24389416 0.77030396 -0.13534491 0.13534490 0.5331997 -0.5331997 + expected$covM1$Item13[7, ] -0.24389447 -0.77030513 0.24389451 0.77030512 -0.13534563 0.13534563 0.5332008 -0.5332008 - actual$covM1$Item13[8, ] 0.24389410 0.77030398 -0.19992625 -1.05491283 0.13534491 -0.14563877 -0.5331997 0.6660336 + expected$covM1$Item13[8, ] 0.24389448 0.77030513 -0.19992570 -1.05491273 0.13534563 -0.14563935 -0.5332008 0.6660335 `actual$covM1$Item14` is a double vector (0.798337600430643, -0.23887959835364, -0.798337299486588, 0.238879424921897, -0.0415945899813763, ...) `expected$covM1$Item14` is a logical vector (NA, NA, NA, NA, NA, ...) actual$covM1$Item15 vs expected$covM1$Item15 [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] - actual$covM1$Item15[1, ] 0.90367334 -0.4642925 -0.90367337 0.4642926 -0.5014526 0.5014526 0.01903688 -0.01903694 + expected$covM1$Item15[1, ] 0.90367665 -0.4642947 -0.90367666 0.4642949 -0.5014550 0.5014551 0.01903736 -0.01903752 - actual$covM1$Item15[2, ] -0.46429249 1.6904418 0.46429251 -1.6904419 1.0024265 -1.0024267 -0.49311324 0.49311337 + expected$covM1$Item15[2, ] -0.46429469 1.6904456 0.46429454 -1.6904460 1.0024303 -1.0024305 -0.49311521 0.49311556 - actual$covM1$Item15[3, ] -0.90367337 0.4642925 2.39478429 -0.5450774 0.5014526 -0.8092926 -0.01903688 -0.33843668 + expected$covM1$Item15[3, ] -0.90367666 0.4642945 2.39478074 -0.5450802 0.5014549 -0.8092939 -0.01903731 -0.33843376 - actual$covM1$Item15[4, ] 0.46429258 -1.6904419 -0.54507745 3.7459603 -1.0024267 2.1520637 0.49311328 -2.11300862 + expected$covM1$Item15[4, ] 0.46429490 -1.6904460 -0.54508018 3.7459566 -1.0024306 2.1520610 0.49311532 -2.11300122 - actual$covM1$Item15[5, ] -0.50145257 1.0024265 0.50145259 -1.0024267 0.6714433 -0.6714434 -0.26496108 0.26496117 + expected$covM1$Item15[5, ] -0.50145502 1.0024303 0.50145494 -1.0024306 0.6714466 -0.6714468 -0.26496257 0.26496280 - actual$covM1$Item15[6, ] 0.50145262 -1.0024267 -0.80929257 2.1520637 -0.6714434 1.3699541 0.26496111 -1.10671886 + expected$covM1$Item15[6, ] 0.50145513 -1.0024305 -0.80929394 2.1520610 -0.6714468 1.3699523 0.26496262 -1.10671372 - actual$covM1$Item15[7, ] 0.01903688 -0.4931132 -0.01903688 0.4931133 -0.2649611 0.2649611 0.16796029 -0.16796032 + expected$covM1$Item15[7, ] 0.01903736 -0.4931152 -0.01903731 0.4931153 -0.2649626 0.2649626 0.16796119 -0.16796128 - actual$covM1$Item15[8, ] -0.01903694 0.4931134 -0.33843668 -2.1130086 0.2649612 -1.1067189 -0.16796032 1.57999194 + expected$covM1$Item15[8, ] -0.01903752 0.4931156 -0.33843376 -2.1130012 0.2649628 -1.1067137 -0.16796128 1.57998205 actual$llM1 | expected$llM1 [1] -196.679581961 | -196.679581961 [1] [2] -243.274684142 - -243.274684138 [2] [3] -79.930016275 - -79.930016278 [3] [4] -211.234195622 | -211.234195622 [4] [5] -249.170904416 - -249.170557845 [5] [6] -246.655698470 | -246.655698470 [6] [7] -217.559317418 | -217.559317418 [7] [8] -115.890000377 | -115.890000377 [8] [9] -198.330606464 - -198.330606466 [9] [10] -236.015424935 - -236.015468347 [10] ... ... ... and 5 more ... actual$pval | expected$pval [1] 0.718569771 | 0.718569771 [1] [2] 0.939832658 - 0.939832657 [2] [3] 0.001443383 | 0.001443383 [3] [4] 0.304080752 | 0.304080752 [4] [5] 0.010535248 - 0.010532079 [5] [6] 0.423685647 | 0.423685647 [6] [7] 0.812782805 | 0.812782805 [7] [8] 0.027602919 | 0.027602919 [8] [9] 0.961976792 - 0.961976793 [9] [10] 0.647247579 - 0.647263148 [10] ... ... ... and 5 more ... actual$adj.pval | expected$adj.pval [1] 0.718569771 | 0.718569771 [1] [2] 0.939832658 - 0.939832657 [2] [3] 0.001443383 | 0.001443383 [3] [4] 0.304080752 | 0.304080752 [4] [5] 0.010535248 - 0.010532079 [5] [6] 0.423685647 | 0.423685647 [6] [7] 0.812782805 | 0.812782805 [7] [8] 0.027602919 | 0.027602919 [8] [9] 0.961976792 - 0.961976793 [9] [10] 0.647247579 - 0.647263148 [10] ... ... ... and 5 more ... `actual$conv.fail`: 0 `expected$conv.fail`: 1 `actual$conv.fail.which`: `expected$conv.fail.which`: 14 ── Failure ('test-difNLR.R:630:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:631:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12b, item = c(1, 14))` to throw a warning. ── Failure ('test-difNLR.R:632:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12b, plot.type = "stat")` to throw a warning. ── Failure ('test-difNLR.R:635:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fitted(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:636:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `fitted(fit12b, item = paste0("Item", c(2, 14)))` to throw a warning. ── Failure ('test-difNLR.R:638:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `predict(fit12b, item = 14, match = c(0, 1), group = 0)` to throw a error. ── Failure ('test-difNLR.R:639:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `predict(...)` to throw a warning. ── Failure ('test-difNLR.R:641:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `logLik(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:642:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `logLik(fit12b, item = paste0("Item", c(2, 14)))` to throw a warning. ── Failure ('test-difNLR.R:644:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:645:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = paste0("Item", c(15, 14)))` to throw a warning. ── Failure ('test-difNLR.R:647:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:648:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `AIC(fit12b, item = paste0("Item", c(4, 6, 10, 14)))` to throw a warning. ── Failure ('test-difNLR.R:650:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `residuals(fit12b, item = 14)` to throw a error. ── Failure ('test-difNLR.R:651:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `residuals(fit12b, item = paste0("Item", c(10, 14)))` to throw a warning. ── Failure ('test-difNLR.R:654:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:659:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12c, plot.type = "stat")` to throw a warning. ── Failure ('test-difNLR.R:661:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `... <- NULL` to throw a warning. ── Failure ('test-difNLR.R:666:3'): testing paper code - R Journal 2020 - special cases (not included) ── Expected `plot(fit12d, plot.type = "stat")` to throw a warning. ── Failure ('test-difORD.R:14:3'): difORD - examples at help page ────────────── Expected `fit1` to equal `fit1_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095012 - -2.859095114 [1] [2] -4.474700992 - -4.474701157 [2] [3] -6.617933564 - -6.617933791 [3] [4] -7.683709757 - -7.683710147 [4] [5] 1.973534170 - 1.973534245 [5] [6] 0.391732776 - 0.391732843 [6] [7] -0.103073586 - -0.103073618 [7] ── Failure ('test-difORD.R:49:3'): difORD - examples at help page ────────────── Expected `fit2` to equal `fit2_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095012 - -2.859095114 [1] [2] -4.474700992 - -4.474701157 [2] [3] -6.617933564 - -6.617933791 [3] [4] -7.683709757 - -7.683710147 [4] [5] 1.973534170 - 1.973534245 [5] [6] 0.391732776 - 0.391732843 [6] [7] -0.103073586 - -0.103073618 [7] ── Failure ('test-difORD.R:55:3'): difORD - examples at help page ────────────── Expected `fit3` to equal `fit3_expected`. Differences: actual$ordPAR$R28 | expected$ordPAR$R28 [1] 0.516855675 - 0.516855693 [1] [2] -0.355536095 - -0.355536107 [2] [3] -3.088430071 - -3.088430132 [3] [4] -5.995404036 - -5.995404231 [4] [5] 1.896255945 - 1.896255978 [5] actual$parM0$R28 | expected$parM0$R28 [1] 0.516855675 - 0.516855693 [1] [2] -0.355536095 - -0.355536107 [2] [3] -3.088430071 - -3.088430132 [3] [4] -5.995404036 - -5.995404231 [4] [5] 1.896255945 - 1.896255978 [5] ── Failure ('test-difORD.R:61:3'): difORD - examples at help page ────────────── Expected `fit4` to equal `fit4_expected`. Differences: actual$ordPAR$R24 | expected$ordPAR$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM0$R24 | expected$parM0$R24 [1] 0.067726993 - 0.067726984 [1] [2] -1.295691816 - -1.295691792 [2] [3] -3.713274816 - -3.713274756 [3] [4] -5.405622049 - -5.405621944 [4] [5] 1.824596604 - 1.824596577 [5] actual$parM1$R17 | expected$parM1$R17 [1] -2.781485763 - -2.781485821 [1] [2] -4.400399853 - -4.400399968 [2] [3] -6.549566486 - -6.549566659 [3] [4] -7.640105733 - -7.640106082 [4] [5] 1.915188066 - 1.915188114 [5] [6] 0.260331013 - 0.260331026 [6] ── Failure ('test-difORD.R:67:3'): difORD - examples at help page ────────────── Expected `fit5` to equal `fit5_expected`. Differences: actual$ordPAR$R17 | expected$ordPAR$R17 [1] -2.781485763 - -2.781485821 [1] [2] -4.400399853 - -4.400399968 [2] [3] -6.549566486 - -6.549566659 [3] [4] -7.640105733 - -7.640106082 [4] [5] 1.915188066 - 1.915188114 [5] [6] 0.260331013 - 0.260331026 [6] actual$parM0$R17 | expected$parM0$R17 [1] -2.781485763 - -2.781485821 [1] [2] -4.400399853 - -4.400399968 [2] [3] -6.549566486 - -6.549566659 [3] [4] -7.640105733 - -7.640106082 [4] [5] 1.915188066 - 1.915188114 [5] [6] 0.260331013 - 0.260331026 [6] actual$parM1$R17 | expected$parM1$R17 [1] -2.859095012 - -2.859095114 [1] [2] -4.474700992 - -4.474701157 [2] [3] -6.617933564 - -6.617933791 [3] [4] -7.683709757 - -7.683710147 [4] [5] 1.973534170 - 1.973534245 [5] [6] 0.391732776 - 0.391732843 [6] [7] -0.103073586 - -0.103073618 [7] ── Failure ('test-difORD.R:73:3'): difORD - examples at help page ────────────── Expected `fit6` to equal `fit6_expected`. Differences: actual$ordPAR$R28 | expected$ordPAR$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] actual$parM0$R20 | expected$parM0$R20 [1] -5.683252711 - -5.683253024 [1] [2] -6.437898816 - -6.437899279 [2] [3] -8.982539929 - -8.982540492 [3] [4] -10.651801297 - -10.651801994 [4] [5] 0.091752686 - 0.091752692 [5] actual$parM0$R28 | expected$parM0$R28 [1] -4.121246755 - -4.121246690 [1] [2] -4.950121086 - -4.950120991 [2] [3] -7.704178990 - -7.704178841 [3] [4] -10.667119450 - -10.667119165 [4] [5] 0.093639175 - 0.093639173 [5] actual$parM1$R17 | expected$parM1$R17 [1] -7.708446519 - -7.708446234 [1] [2] -9.324052563 - -9.324052214 [2] [3] -11.467285197 - -11.467284786 [3] [4] -12.533061553 - -12.533060979 [4] [5] 0.098064975 - 0.098064971 [5] [6] 0.645004452 - 0.645004306 [6] [7] -0.005121731 - -0.005121730 [7] ── Failure ('test-estimNLR.R:27:3'): estimNLR - examples at help page ────────── Expected `fit_nls` to equal `fit_nls_expected`. Differences: environment(actual$m$resid)$QR$qr vs environment(expected$m$resid)$QR$qr [,1] [,2] [,3] [,4] [,5] - environment(actual$m$resid)$QR$qr[1, ] 5.963120661 0.852642643 -13.527931249 3.177205947 1.7583828032 + environment(expected$m$resid)$QR$qr[1, ] 5.963261226 0.852560464 -13.527556506 3.177313389 1.7583516255 - environment(actual$m$resid)$QR$qr[2, ] -0.029687716 8.648112225 -21.144404001 0.899205358 3.8468824021 + environment(expected$m$resid)$QR$qr[2, ] -0.029687977 8.648110747 -21.144447110 0.899232349 3.8468635002 - environment(actual$m$resid)$QR$qr[3, ] -0.028436188 0.016244083 -7.267865949 0.953687516 0.1653027588 + environment(expected$m$resid)$QR$qr[3, ] -0.028435985 0.016243760 -7.267532821 0.953686407 0.1653872982 - environment(actual$m$resid)$QR$qr[4, ] 0.030301791 0.008537437 0.036798702 2.670830880 0.4799710535 + environment(expected$m$resid)$QR$qr[4, ] 0.030302593 0.008538069 0.036797385 2.670897273 0.4798861365 - environment(actual$m$resid)$QR$qr[5, ] -0.028448373 0.023909891 0.016097513 0.021135142 -4.0766938069 + environment(expected$m$resid)$QR$qr[5, ] -0.028448307 0.023909519 0.016097352 0.021135607 -4.0766899133 - environment(actual$m$resid)$QR$qr[6, ] 0.029223825 0.015616436 0.006908037 -0.042582070 0.0244168656 + environment(expected$m$resid)$QR$qr[6, ] 0.029223489 0.015617142 0.006907559 -0.042581943 0.0244181648 - environment(actual$m$resid)$QR$qr[7, ] 0.007239807 0.025996907 -0.014138455 0.004974952 -0.0281132693 + environment(expected$m$resid)$QR$qr[7, ] 0.007238958 0.025996739 -0.014137714 0.004973591 -0.0281138382 - environment(actual$m$resid)$QR$qr[8, ] 0.018242250 0.024167186 -0.016928780 -0.022879455 0.0289711621 + environment(expected$m$resid)$QR$qr[8, ] 0.018241477 0.024167696 -0.016929652 -0.022878721 0.0289712647 - environment(actual$m$resid)$QR$qr[9, ] -0.028448373 0.023909891 0.016097513 0.021135142 0.0128984388 + environment(expected$m$resid)$QR$qr[9, ] -0.028448307 0.023909519 0.016097352 0.021135607 0.0128981480 - environment(actual$m$resid)$QR$qr[10, ] -0.029687716 0.023424644 0.021184209 -0.045425542 -0.0378482111 + environment(expected$m$resid)$QR$qr[10, ] -0.029687977 0.023424170 0.021185597 -0.045425625 -0.0378467920 and 1990 more ... environment(actual$m$resid)$QR$qraux vs environment(expected$m$resid)$QR$qraux - 1.017945042 + 1.017944242 - 1.023424644 + 1.023424170 - 1.024304474 + 1.024304511 - 1.014607926 + 1.014608993 - 1.012898439 + 1.012898148 `environment(actual$m$resid)$env$a`: 1.1211192 `environment(expected$m$resid)$env$a`: 1.1211100 `environment(actual$m$resid)$env$aDif`: -0.064508 `environment(expected$m$resid)$env$aDif`: -0.064526 `environment(actual$m$resid)$env$b`: -0.303651 `environment(expected$m$resid)$env$b`: -0.303670 `environment(actual$m$resid)$env$bDif`: 0.9496967 `environment(expected$m$resid)$env$bDif`: 0.9496952 `environment(actual$m$resid)$env$c`: 0.1105615 `environment(expected$m$resid)$env$c`: 0.1105529 environment(actual$m$resid)$internalPars vs environment(expected$m$resid)$internalPars - 1.1211192 + 1.1211100 - -0.3036505 + -0.3036699 - 0.1105615 + 0.1105529 - -0.0645084 + -0.0645258 - 0.9496967 + 0.9496952 attr(environment(actual$m$resid)$resid, 'gradient') vs attr(environment(expected$m$resid)$resid, 'gradient') [,1] [,2] [,3] [,4] [,5] - attr(environment(actual$m$resid)$resid, 'gradient')[1, ] -0.10700845 -0.21818103 0.63356912 -0.10700846 -0.21818104 + attr(environment(expected$m$resid)$resid, 'gradient')[1, ] -0.10700620 -0.21817975 0.63356084 -0.10700627 -0.21817974 - attr(environment(actual$m$resid)$resid, 'gradient')[2, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$resid, 'gradient')[2, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 - attr(environment(actual$m$resid)$resid, 'gradient')[3, ] 0.16956842 -0.11056730 0.12701408 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[3, ] 0.16957121 -0.11056701 0.12701335 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[4, ] -0.18069324 -0.10570857 0.87083552 -0.18069322 -0.10570857 + attr(environment(expected$m$resid)$resid, 'gradient')[4, ] -0.18070228 -0.10571242 0.87082766 -0.18070227 -0.10571242 - attr(environment(actual$m$resid)$resid, 'gradient')[5, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[5, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[6, ] -0.17426520 -0.16579459 0.78936882 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[6, ] -0.17426730 -0.16579795 0.78936344 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[7, ] -0.04317184 -0.23244006 0.55165442 -0.04317192 -0.23244006 + attr(environment(expected$m$resid)$resid, 'gradient')[7, ] -0.04316780 -0.23243709 0.55164768 -0.04316789 -0.23243709 - attr(environment(actual$m$resid)$resid, 'gradient')[8, ] -0.10878074 -0.22819040 0.64546899 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[8, ] -0.10877869 -0.22819249 0.64546285 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[9, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$resid, 'gradient')[9, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$resid, 'gradient')[10, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$resid, 'gradient')[10, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 and 1990 more ... environment(actual$m$resid)$resid vs environment(expected$m$resid)$resid - -0.43647923 + -0.43648118 - 0.21334032 + 0.21334351 - 0.11297119 + 0.11297170 - -0.22544538 + -0.22544492 - 0.20498593 + 0.20498604 - -0.29790500 + -0.29790303 - 0.49066267 + 0.49066141 - 0.57410495 + 0.57410507 - 0.20498593 + 0.20498604 - 0.21334032 + 0.21334351 and 1990 more ... attr(environment(actual$m$resid)$rhs, 'gradient') vs attr(environment(expected$m$resid)$rhs, 'gradient') [,1] [,2] [,3] [,4] [,5] - attr(environment(actual$m$resid)$rhs, 'gradient')[1, ] -0.10700845 -0.21818103 0.63356912 -0.10700846 -0.21818104 + attr(environment(expected$m$resid)$rhs, 'gradient')[1, ] -0.10700620 -0.21817975 0.63356084 -0.10700627 -0.21817974 - attr(environment(actual$m$resid)$rhs, 'gradient')[2, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$rhs, 'gradient')[2, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 - attr(environment(actual$m$resid)$rhs, 'gradient')[3, ] 0.16956842 -0.11056730 0.12701408 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[3, ] 0.16957121 -0.11056701 0.12701335 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[4, ] -0.18069324 -0.10570857 0.87083552 -0.18069322 -0.10570857 + attr(environment(expected$m$resid)$rhs, 'gradient')[4, ] -0.18070228 -0.10571242 0.87082766 -0.18070227 -0.10571242 - attr(environment(actual$m$resid)$rhs, 'gradient')[5, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[5, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[6, ] -0.17426520 -0.16579459 0.78936882 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[6, ] -0.17426730 -0.16579795 0.78936344 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[7, ] -0.04317184 -0.23244006 0.55165442 -0.04317192 -0.23244006 + attr(environment(expected$m$resid)$rhs, 'gradient')[7, ] -0.04316780 -0.23243709 0.55164768 -0.04316789 -0.23243709 - attr(environment(actual$m$resid)$rhs, 'gradient')[8, ] -0.10878074 -0.22819040 0.64546899 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[8, ] -0.10877869 -0.22819249 0.64546285 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[9, ] 0.16964108 -0.17684926 0.23046670 0.00000000 0.00000000 + attr(environment(expected$m$resid)$rhs, 'gradient')[9, ] 0.16964469 -0.17684838 0.23046462 0.00000000 0.00000000 - attr(environment(actual$m$resid)$rhs, 'gradient')[10, ] 0.17703143 -0.17134906 0.23985958 0.17703153 -0.17134909 + attr(environment(expected$m$resid)$rhs, 'gradient')[10, ] 0.17703716 -0.17134706 0.23986080 0.17703712 -0.17134706 and 1990 more ... environment(actual$m$resid)$rhs vs environment(expected$m$resid)$rhs - 0.43647923 + 0.43648118 - 0.78665968 + 0.78665649 - 0.88702881 + 0.88702830 - 0.22544538 + 0.22544492 - 0.79501407 + 0.79501396 - 0.29790500 + 0.29790303 - 0.50933733 + 0.50933859 - 0.42589505 + 0.42589493 - 0.79501407 + 0.79501396 - 0.78665968 + 0.78665649 and 1990 more ... `actual$convInfo$finIter`: 9 `expected$convInfo$finIter`: 8 `actual$convInfo$nEval`: 10 10 `expected$convInfo$nEval`: 11 9 ── Failure ('test-estimNLR.R:96:3'): estimNLR - examples at help page ────────── Expected `fit_irls` to equal `fit_irls_expected`. Differences: environment(actual$family$variance)$okLinks[3:6] vs environment(expected$family$variance)$okLinks[3:5] "cloglog" "cauchit" "log" - "identity" [ FAIL 48 | WARN 1 | SKIP 16 | PASS 294 ] Deleting unused snapshots: 'difNLR/plot-fit1-gen.svg', 'difNLR/plot-fit2-gen.svg', and 'difNLR/plot-stat-gen.svg' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc