Last updated on 2025-02-17 09:49:48 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.0.4 | 85.62 | 255.20 | 340.82 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.0.4 | 61.10 | 181.41 | 242.51 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.0.4 | 607.41 | 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 | 82.90 | 262.95 | 345.85 | OK | |
| r-release-linux-x86_64 | 1.0.4 | 79.48 | 264.53 | 344.01 | 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 | 93.00 | 319.00 | 412.00 | 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 | 113.00 | 437.00 | 550.00 | OK |
Version: 1.0.4
Check: tests
Result: ERROR
Running ‘spelling.R’
Running ‘testthat.R’ [160s/343s]
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