CRAN Package Check Results for Package missSBM

Last updated on 2025-02-23 19:51:13 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.0.4	84.42	252.97	337.39	OK
r-devel-linux-x86_64-debian-gcc	1.0.4	59.66	185.98	245.64	OK
r-devel-linux-x86_64-fedora-clang	1.0.4			538.79	ERROR
r-devel-linux-x86_64-fedora-gcc	1.0.4			557.51	ERROR
r-devel-macos-arm64	1.0.4			175.00	OK
r-devel-macos-x86_64	1.0.4			363.00	OK
r-devel-windows-x86_64	1.0.4	87.00	306.00	393.00	OK
r-patched-linux-x86_64	1.0.4	85.03	266.46	351.49	OK
r-release-linux-x86_64	1.0.4	86.15	265.67	351.82	OK
r-release-macos-arm64	1.0.4			188.00	NOTE
r-release-macos-x86_64	1.0.4			265.00	NOTE
r-release-windows-x86_64	1.0.4	90.00	320.00	410.00	OK
r-oldrel-macos-arm64	1.0.4			192.00	NOTE
r-oldrel-macos-x86_64	1.0.4			409.00	NOTE
r-oldrel-windows-x86_64	1.0.4	114.00	429.00	543.00	OK

Check Details

Version: 1.0.4
Check: tests
Result: ERROR Running ‘spelling.R’ Running ‘testthat.R’ [150s/173s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(missSBM) > > test_check("missSBM") Adjusting Variational EM for Stochastic Block Model Dyads are distributed according to a 'undirected' SBM. Imputation assumes a 'covar-dyad' network-sampling process iteration #: 2 Adjusting Variational EM for Stochastic Block Model Dyads are distributed according to a 'undirected' SBM. Imputation assumes a 'dyad' network-sampling process iteration #: 2 Adjusting Variational EM for Stochastic Block Model Dyads are distributed according to a 'undirected' SBM. Imputation assumes a 'covar-node' network-sampling process iteration #: 2 Adjusting Variational EM for Stochastic Block Model Dyads are distributed according to a 'undirected' SBM. Imputation assumes a 'node' network-sampling process iteration #: 2 Tested sampling: - dyad - node - double-standard - block-node - block-dyad Adjusting Variational EM for Stochastic Block Model Imputation assumes a 'dyad' network-sampling process Initialization of 3 model(s). Tested sampling: - dyad - node - double-standard - block-node - block-dyadTested sampling: - dyad - node - double-standard - block-node - block-dyad sampling: dyad new better on connectivity node double-standard block-node new better on mixture new better on mixture Adjusting Variational EM for Stochastic Block Model iteration #: 2 iteration #: 3 iteration #: 4 iteration #: 5 iteration #: 6 iteration #: 7 iteration #: 8 iteration #: 9 iteration #: 10 iteration #: 11 iteration #: 12 iteration #: 13 iteration #: 14 iteration #: 15 iteration #: 16 iteration #: 17 iteration #: 18 iteration #: 19 iteration #: 20 iteration #: 21 iteration #: 22 iteration #: 23 iteration #: 24 iteration #: 25 iteration #: 26 iteration #: 27 iteration #: 28 Adjusting Variational EM for Stochastic Block Model Dyads are distributed according to a 'undirected' SBM. Imputation assumes a 'node' network-sampling process iteration #: 2 iteration #: 3 iteration #: 4 iteration #: 5 iteration #: 6 iteration #: 7 iteration #: 8 iteration #: 9 iteration #: 10 iteration #: 11 iteration #: 12 iteration #: 13 iteration #: 14 iteration #: 15 iteration #: 16 iteration #: 17 iteration #: 18 iteration #: 19 iteration #: 20 iteration #: 21 iteration #: 22 iteration #: 23 iteration #: 24 iteration #: 25 iteration #: 26 iteration #: 27 iteration #: 28 Adjusting Variational EM for Stochastic Block Model Imputation assumes a 'node' network-sampling process Initialization of 1 model(s). Performing VEM inference Model with 3 blocks. Adjusting Variational EM for Stochastic Block Model iteration #: 2 [ FAIL 17 | WARN 2 | SKIP 0 | PASS 372 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-TOP-LEVEL-consistency.R:121:5'): check consistency against Tim's code for dyad sampling with covariates ── `ARI_new` is not strictly more than `tol_ARI`. Difference: -0.5 ── Failure ('test-TOP-LEVEL-consistency.R:123:5'): check consistency against Tim's code for dyad sampling with covariates ── `ARI_gap` is not strictly more than `tol_ARI`. Difference: -0.5 ── Failure ('test-sbm-MAR_bernoulli-with-covariates.R:23:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate, dyad sampling, MAR ── rmse(mySBM$connectParam$mean, sampler_undirected_cov$connectParam$mean) is not strictly less than 0.075. Difference: 0.925 ── Failure ('test-sbm-MAR_bernoulli-with-covariates.R:24:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate, dyad sampling, MAR ── ARI(mySBM$memberships, sampler_undirected_cov$memberships) is not strictly more than 0.95. Difference: -0.95 ── Failure ('test-sbm-MAR_bernoulli-with-covariates.R:41:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate, dyad sampling, MAR ── rmse(mySBM$connectParam$mean, sampler_directed_cov$connectParam$mean) is not strictly less than 0.075. Difference: 0.925 ── Failure ('test-sbm-MAR_bernoulli-with-covariates.R:42:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate, dyad sampling, MAR ── ARI(mySBM$memberships, sampler_directed_cov$memberships) is not strictly more than 0.95. Difference: -0.95 ── Failure ('test-sbm-bernoulli-with-covariates.R:29:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── rmse(mySBM_missSBM$connectParam$mean, mySBM_sbm$connectParam$mean) is not strictly less than 0.05. Difference: 0.95 ── Failure ('test-sbm-bernoulli-with-covariates.R:30:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── ARI(mySBM_missSBM$memberships, mySBM_sbm$memberships) is not strictly more than 0.8. Difference: -0.8 ── Failure ('test-sbm-bernoulli-with-covariates.R:31:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── rmse(mySBM_missSBM$loglik, mySBM_sbm$loglik) is not strictly less than 0.01. Difference: 33.9 ── Failure ('test-sbm-bernoulli-with-covariates.R:34:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── rmse(mySBM_missSBM$connectParam$mean, sampler_undirected_cov$connectParam$mean) is not strictly less than 0.1. Difference: 0.9 ── Failure ('test-sbm-bernoulli-with-covariates.R:35:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── rmse(mySBM_missSBM$covarParam, sampler_undirected_cov$covarParam) is not strictly less than 0.1. Difference: 0.9 ── Failure ('test-sbm-bernoulli-with-covariates.R:36:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── ARI(mySBM_missSBM$memberships, sampler_undirected_cov$memberships) is not strictly more than 0.85. Difference: -0.85 ── Failure ('test-sbm-bernoulli-with-covariates.R:58:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate ── rmse(mySBM_missSBM$connectParam$mean, mySBM_sbm$connectParam$mean) is not strictly less than 0.1. Difference: 0.9 ── Failure ('test-sbm-bernoulli-with-covariates.R:59:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate ── ARI(mySBM_missSBM$memberships, mySBM_sbm$memberships) is not strictly more than 0.8. Difference: -0.8 ── Failure ('test-sbm-bernoulli-with-covariates.R:60:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate ── rmse(mySBM_missSBM$loglik, mySBM_sbm$loglik) is not strictly less than 0.05. Difference: 34 ── Failure ('test-sbm-bernoulli-with-covariates.R:63:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate ── rmse(mySBM_missSBM$connectParam$mean, sampler_directed_cov$connectParam$mean) is not strictly less than 0.1. Difference: 0.9 ── Failure ('test-sbm-bernoulli-with-covariates.R:64:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate ── ARI(mySBM_missSBM$memberships, sampler_directed_cov$memberships) is not strictly more than 0.85. Difference: -0.85 [ FAIL 17 | WARN 2 | SKIP 0 | PASS 372 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.0.4
Check: tests
Result: ERROR Running ‘spelling.R’ Running ‘testthat.R’ [165s/171s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(missSBM) > > test_check("missSBM") Adjusting Variational EM for Stochastic Block Model Dyads are distributed according to a 'undirected' SBM. Imputation assumes a 'covar-dyad' network-sampling process iteration #: 2 Adjusting Variational EM for Stochastic Block Model Dyads are distributed according to a 'undirected' SBM. Imputation assumes a 'dyad' network-sampling process iteration #: 2 Adjusting Variational EM for Stochastic Block Model Dyads are distributed according to a 'undirected' SBM. Imputation assumes a 'covar-node' network-sampling process iteration #: 2 Adjusting Variational EM for Stochastic Block Model Dyads are distributed according to a 'undirected' SBM. Imputation assumes a 'node' network-sampling process iteration #: 2 Tested sampling: - dyad - node - double-standard - block-node - block-dyad Adjusting Variational EM for Stochastic Block Model Imputation assumes a 'dyad' network-sampling process Initialization of 3 model(s). Tested sampling: - dyad - node - double-standard - block-node - block-dyadTested sampling: - dyad - node - double-standard - block-node - block-dyad sampling: dyad new better on connectivity node double-standard block-node new better on mixture new better on mixture Adjusting Variational EM for Stochastic Block Model iteration #: 2 iteration #: 3 iteration #: 4 iteration #: 5 iteration #: 6 iteration #: 7 iteration #: 8 iteration #: 9 iteration #: 10 iteration #: 11 iteration #: 12 iteration #: 13 iteration #: 14 iteration #: 15 iteration #: 16 iteration #: 17 iteration #: 18 iteration #: 19 iteration #: 20 iteration #: 21 iteration #: 22 iteration #: 23 iteration #: 24 iteration #: 25 iteration #: 26 iteration #: 27 iteration #: 28 Adjusting Variational EM for Stochastic Block Model Dyads are distributed according to a 'undirected' SBM. Imputation assumes a 'node' network-sampling process iteration #: 2 iteration #: 3 iteration #: 4 iteration #: 5 iteration #: 6 iteration #: 7 iteration #: 8 iteration #: 9 iteration #: 10 iteration #: 11 iteration #: 12 iteration #: 13 iteration #: 14 iteration #: 15 iteration #: 16 iteration #: 17 iteration #: 18 iteration #: 19 iteration #: 20 iteration #: 21 iteration #: 22 iteration #: 23 iteration #: 24 iteration #: 25 iteration #: 26 iteration #: 27 iteration #: 28 Adjusting Variational EM for Stochastic Block Model Imputation assumes a 'node' network-sampling process Initialization of 1 model(s). Performing VEM inference Model with 3 blocks. Adjusting Variational EM for Stochastic Block Model iteration #: 2 [ FAIL 17 | WARN 1 | SKIP 0 | PASS 372 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-TOP-LEVEL-consistency.R:121:5'): check consistency against Tim's code for dyad sampling with covariates ── `ARI_new` is not strictly more than `tol_ARI`. Difference: -0.5 ── Failure ('test-TOP-LEVEL-consistency.R:123:5'): check consistency against Tim's code for dyad sampling with covariates ── `ARI_gap` is not strictly more than `tol_ARI`. Difference: -0.5 ── Failure ('test-sbm-MAR_bernoulli-with-covariates.R:23:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate, dyad sampling, MAR ── rmse(mySBM$connectParam$mean, sampler_undirected_cov$connectParam$mean) is not strictly less than 0.075. Difference: 0.925 ── Failure ('test-sbm-MAR_bernoulli-with-covariates.R:24:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate, dyad sampling, MAR ── ARI(mySBM$memberships, sampler_undirected_cov$memberships) is not strictly more than 0.95. Difference: -0.95 ── Failure ('test-sbm-MAR_bernoulli-with-covariates.R:41:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate, dyad sampling, MAR ── rmse(mySBM$connectParam$mean, sampler_directed_cov$connectParam$mean) is not strictly less than 0.075. Difference: 0.925 ── Failure ('test-sbm-MAR_bernoulli-with-covariates.R:42:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate, dyad sampling, MAR ── ARI(mySBM$memberships, sampler_directed_cov$memberships) is not strictly more than 0.95. Difference: -0.95 ── Failure ('test-sbm-bernoulli-with-covariates.R:29:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── rmse(mySBM_missSBM$connectParam$mean, mySBM_sbm$connectParam$mean) is not strictly less than 0.05. Difference: 0.95 ── Failure ('test-sbm-bernoulli-with-covariates.R:30:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── ARI(mySBM_missSBM$memberships, mySBM_sbm$memberships) is not strictly more than 0.8. Difference: -0.8 ── Failure ('test-sbm-bernoulli-with-covariates.R:31:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── rmse(mySBM_missSBM$loglik, mySBM_sbm$loglik) is not strictly less than 0.01. Difference: 33.9 ── Failure ('test-sbm-bernoulli-with-covariates.R:34:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── rmse(mySBM_missSBM$connectParam$mean, sampler_undirected_cov$connectParam$mean) is not strictly less than 0.1. Difference: 0.9 ── Failure ('test-sbm-bernoulli-with-covariates.R:35:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── rmse(mySBM_missSBM$covarParam, sampler_undirected_cov$covarParam) is not strictly less than 0.1. Difference: 0.9 ── Failure ('test-sbm-bernoulli-with-covariates.R:36:3'): SimpleSBM_fit 'Bernoulli' model, undirected, one covariate ── ARI(mySBM_missSBM$memberships, sampler_undirected_cov$memberships) is not strictly more than 0.85. Difference: -0.85 ── Failure ('test-sbm-bernoulli-with-covariates.R:58:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate ── rmse(mySBM_missSBM$connectParam$mean, mySBM_sbm$connectParam$mean) is not strictly less than 0.1. Difference: 0.9 ── Failure ('test-sbm-bernoulli-with-covariates.R:59:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate ── ARI(mySBM_missSBM$memberships, mySBM_sbm$memberships) is not strictly more than 0.8. Difference: -0.8 ── Failure ('test-sbm-bernoulli-with-covariates.R:60:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate ── rmse(mySBM_missSBM$loglik, mySBM_sbm$loglik) is not strictly less than 0.05. Difference: 34 ── Failure ('test-sbm-bernoulli-with-covariates.R:63:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate ── rmse(mySBM_missSBM$connectParam$mean, sampler_directed_cov$connectParam$mean) is not strictly less than 0.1. Difference: 0.9 ── Failure ('test-sbm-bernoulli-with-covariates.R:64:3'): SimpleSBM_fit 'Bernoulli' model, directed, one covariate ── ARI(mySBM_missSBM$memberships, sampler_directed_cov$memberships) is not strictly more than 0.85. Difference: -0.85 [ FAIL 17 | WARN 1 | SKIP 0 | PASS 372 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 1.0.4
Check: installed package size
Result: NOTE installed size is 6.8Mb sub-directories of 1Mb or more: libs 4.7Mb Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64