Last updated on 2025-11-01 01:51:18 CET.
| Package | ERROR | OK |
|---|---|---|
| backbone | 1 | 12 |
| childfree | 13 | |
| grand | 13 | |
| incidentally | 13 | |
| KOLaide | 13 |
Current CRAN status: ERROR: 1, OK: 12
Version: 3.0.2
Check: tests
Result: ERROR
Running ‘tinytest.R’ [7s/9s]
Running the tests in ‘tests/tinytest.R’ failed.
Complete output:
> if ( requireNamespace("tinytest", quietly=TRUE) ){
+ tinytest::test_package("backbone")
+ }
____ backbone v3.0.2
| _ \ Cite: Neal, Z. P., (2025). backbone: An R package to extract network
|#|_) | backbones. CRAN. https://doi.org/10.32614/CRAN.package.backbone
|# _ <
|#|_) | Help: type vignette("backbone"); email zpneal@msu.edu; github zpneal/backbone
|____/ Beta: type devtools::install_github("zpneal/backbone", ref = "devel")
test_backbone.R............... 0 tests
test_backbone.R............... 0 tests
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test_backbone.R............... 40 tests <1b>[0;32mOK<1b>[0m Constructing edges' Monte Carlo p-values
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test_backbone.R............... 80 tests <1b>[0;32mOK<1b>[0m Constructing edges' Monte Carlo p-values
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test_backbone.R............... 80 tests <1b>[0;32mOK<1b>[0m
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test_backbone.R............... 110 tests <1b>[0;32mOK<1b>[0m
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test_backbone.R............... 125 tests <1b>[0;32mOK<1b>[0m
test_backbone.R............... 126 tests <1b>[0;32mOK<1b>[0m Constructing edges' Monte Carlo p-values
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test_backbone.R............... 126 tests <1b>[0;32mOK<1b>[0m
test_backbone.R............... 127 tests <1b>[0;32mOK<1b>[0m
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test_backbone.R............... 404 tests <1b>[0;31m1 fails<1b>[0m
test_backbone.R............... 405 tests <1b>[0;31m1 fails<1b>[0m
test_backbone.R............... 406 tests <1b>[0;31m1 fails<1b>[0m
test_backbone.R............... 406 tests <1b>[0;31m1 fails<1b>[0m
test_backbone.R............... 407 tests <1b>[0;31m1 fails<1b>[0m
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test_backbone.R............... 407 tests <1b>[0;31m1 fails<1b>[0m
test_backbone.R............... 407 tests <1b>[0;31m1 fails<1b>[0m
test_backbone.R............... 407 tests <1b>[0;31m1 fails<1b>[0m The backbone package for R (v3.0.2; Neal, 2025) was used to extract the signed backbone of the weighted projection of a bipartite network containing 30 agents and 75 artifacts. An edge was retained in the backbone if its weight was statistically significant (alpha = 0.05) using the stochastic degree sequence model (SDSM; Neal, Domagalski, and Sagan, 2021), which reduced the number of edges by 59.31%.
Neal, Z. P. 2025. backbone: An R Package to Extract Network Backbones. CRAN. https://doi.org/10.32614/CRAN.package.backbone
Neal, Z. P., Domagalski, R., and Sagan, B. (2021). Comparing Alternatives to the Fixed Degree Sequence Model for Extracting the Backbone of Bipartite Projections. Scientific Reports, 11, 23929. https://doi.org/10.1038/s41598-021-03238-3
test_backbone.R............... 407 tests <1b>[0;31m1 fails<1b>[0m
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test_backbone.R............... 412 tests <1b>[0;31m1 fails<1b>[0m
test_backbone.R............... 413 tests <1b>[0;31m1 fails<1b>[0m
test_backbone.R............... 413 tests <1b>[0;31m1 fails<1b>[0m The backbone package for R (v3.0.2; Neal, 2025) was used to extract the unweighted backbone of a weighted network containing 10 nodes. An edge was retained in the backbone if its weight was statistically significant (alpha = 0.05) using the disparity filter (Serrano et al., 2009), which reduced the number of edges by 57.14%.
Neal, Z. P. 2025. backbone: An R Package to Extract Network Backbones. CRAN. https://doi.org/10.32614/CRAN.package.backbone
Serrano, M. A., Boguna, M., & Vespignani, A. (2009). Extracting the multiscale backbone of complex weighted networks. Proceedings of the National Academy of Sciences, 106, 6483-6488. https://doi.org/10.1073/pnas.0808904106
test_backbone.R............... 413 tests <1b>[0;31m1 fails<1b>[0m
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test_backbone.R............... 414 tests <1b>[0;31m1 fails<1b>[0m
test_backbone.R............... 415 tests <1b>[0;31m1 fails<1b>[0m
test_backbone.R............... 415 tests <1b>[0;31m1 fails<1b>[0m The backbone package for R (v3.0.2; Neal, 2025) was used to extract the unweighted backbone of an unweighted network containing 60 nodes. Edges were selected for retention in the backbone using Satuluri et al's (2011) Local Sparsification backbone model (filtering parameter = 0.5), which reduced the number of edges by 68.88%.
Neal, Z. P. 2025. backbone: An R Package to Extract Network Backbones. CRAN. https://doi.org/10.32614/CRAN.package.backbone
Satuluri, V., Parthasarathy, S., & Ruan, Y. (2011, June). Local graph sparsification for scalable clustering. In Proceedings of the 2011 ACM SIGMOD International Conference on Management of data (pp. 721-732). https://doi.org/10.1145/1989323.1989399
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----- FAILED[data]: test_backbone.R<393--393>
call| expect_true(any(bb %in% c(-1)))
diff| Expected TRUE, got FALSE
Error: 1 out of 416 tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13