CRAN Package Check Results for Package CausalGPS

Last updated on 2025-12-04 02:50:23 CET.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	0.5.0	31.99	149.90	181.89	NOTE
r-devel-linux-x86_64-debian-gcc	0.5.0	20.12	107.60	127.72	NOTE
r-devel-linux-x86_64-fedora-clang	0.5.0	118.00	171.62	289.62	ERROR
r-devel-linux-x86_64-fedora-gcc	0.5.0	207.00	91.34	298.34	ERROR
r-devel-windows-x86_64	0.5.0	38.00	171.00	209.00	OK
r-patched-linux-x86_64	0.5.0	30.97	136.56	167.53	OK
r-release-linux-x86_64	0.5.0	29.17	145.16	174.33	OK
r-release-macos-arm64	0.5.0				OK
r-release-macos-x86_64	0.5.0	17.00	125.00	142.00	OK
r-release-windows-x86_64	0.5.0	38.00	170.00	208.00	OK
r-oldrel-macos-arm64	0.5.0				OK
r-oldrel-macos-x86_64	0.5.0	28.00	188.00	216.00	OK
r-oldrel-windows-x86_64	0.5.0	47.00	212.00	259.00	OK

Additional issues

donttest

Check Details

Version: 0.5.0
Check: DESCRIPTION meta-information
Result: NOTE Author field differs from that derived from Authors@R Author: ‘Naeem Khoshnevis [aut, cre] (<https://orcid.org/0000-0003-4315-1426>, Kempner), Xiao Wu [aut] (<https://orcid.org/0000-0002-4884-657X>, CUMC), Danielle Braun [aut] (<https://orcid.org/0000-0002-5177-8598>, HSPH)’ Authors@R: ‘Naeem Khoshnevis [aut, cre] (ORCID: <https://orcid.org/0000-0003-4315-1426>, AFFILIATION: Kempner), Xiao Wu [aut] (ORCID: <https://orcid.org/0000-0002-4884-657X>, AFFILIATION: CUMC), Danielle Braun [aut] (ORCID: <https://orcid.org/0000-0002-5177-8598>, AFFILIATION: HSPH)’ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 0.5.0
Check: tests
Result: ERROR Running ‘testthat.R’ [20s/62s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(CausalGPS) > > Sys.setenv("R_TESTS" = "") > library(testthat) > test_check("CausalGPS") Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-estimate_erf-22.R Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-estimate_gps-29.R Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-generate_pseudo_pop-35.R Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-trim_it-34.R [ FAIL 4 | WARN 200 | SKIP 19 | PASS 68 ] ══ Skipped tests (19) ══════════════════════════════════════════════════════════ • On CRAN (17): 'test-CausalGPS_smooth.R:3:4', 'test-absolute_corr_fun.R:4:3', 'test-absolute_weighted_corr_fun.R:4:3', 'test-check_covar_balance.R:2:1', 'test-check_kolmogorov_smirnov.R:2:3', 'test-compile_pseudo_pop.R:3:3', 'test-compute_density.R:3:3', 'test-compute_minmax.R:3:3', 'test-compute_resid.R:3:3', 'test-create_weighting.R:3:3', 'test-estimate_gps.R:63:3', 'test-estimate_gps.R:92:3', 'test-estimate_hat_vals.R:3:3', 'test-matching_fn.R:3:3', 'test-set_logger.R:3:5', 'test-train_it.R:3:3', 'test-train_it.R:18:3' • empty test (2): 'test-estimate_npmetric_erf.R:1:1', 'test-estimate_npmetric_erf.R:89:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-estimate_erf.R:19:3'): estimate erf works as expected ────────── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-estimate_erf.R:19:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) ── Error ('test-estimate_gps.R:26:3'): estimate_gps works as expected. ───────── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-estimate_gps.R:26:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) ── Error ('test-generate_pseudo_pop.R:31:3'): generate_pseudo_pop works as expected. ── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-generate_pseudo_pop.R:31:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) ── Error ('test-trim_it.R:31:3'): trim_it works as expected ──────────────────── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-trim_it.R:31:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) [ FAIL 4 | WARN 200 | SKIP 19 | PASS 68 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.5.0
Check: tests
Result: ERROR Running ‘testthat.R’ [19s/75s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(CausalGPS) > > Sys.setenv("R_TESTS" = "") > library(testthat) > test_check("CausalGPS") Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-estimate_erf-22.R Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-estimate_gps-29.R Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-generate_pseudo_pop-35.R Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Error in xgboost::xgboost(data = xgmat, objective = objective, nrounds = ntrees, : argument "y" is missing, with no default Saving _problems/test-trim_it-34.R [ FAIL 4 | WARN 200 | SKIP 19 | PASS 68 ] ══ Skipped tests (19) ══════════════════════════════════════════════════════════ • On CRAN (17): 'test-CausalGPS_smooth.R:3:4', 'test-absolute_corr_fun.R:4:3', 'test-absolute_weighted_corr_fun.R:4:3', 'test-check_covar_balance.R:2:1', 'test-check_kolmogorov_smirnov.R:2:3', 'test-compile_pseudo_pop.R:3:3', 'test-compute_density.R:3:3', 'test-compute_minmax.R:3:3', 'test-compute_resid.R:3:3', 'test-create_weighting.R:3:3', 'test-estimate_gps.R:63:3', 'test-estimate_gps.R:92:3', 'test-estimate_hat_vals.R:3:3', 'test-matching_fn.R:3:3', 'test-set_logger.R:3:5', 'test-train_it.R:3:3', 'test-train_it.R:18:3' • empty test (2): 'test-estimate_npmetric_erf.R:1:1', 'test-estimate_npmetric_erf.R:89:1' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-estimate_erf.R:19:3'): estimate erf works as expected ────────── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-estimate_erf.R:19:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) ── Error ('test-estimate_gps.R:26:3'): estimate_gps works as expected. ───────── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-estimate_gps.R:26:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) ── Error ('test-generate_pseudo_pop.R:31:3'): generate_pseudo_pop works as expected. ── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-generate_pseudo_pop.R:31:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) ── Error ('test-trim_it.R:31:3'): trim_it works as expected ──────────────────── Error in `SuperLearner::SuperLearner(Y = target, X = data.frame(input), SL.library = sl_lib_internal)`: All algorithms dropped from library Backtrace: ▆ 1. └─CausalGPS::estimate_gps(...) at test-trim_it.R:31:3 2. └─CausalGPS:::train_it(...) 3. └─SuperLearner::SuperLearner(...) [ FAIL 4 | WARN 200 | SKIP 19 | PASS 68 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc