R version 4.5.0 RC (2025-04-04 r88118 ucrt) -- "How About a Twenty-Six" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(testthat) > library(beam) > > test_check("beam") Preprocessing... Marginal dependencies: --> compute marginal correlation estimates...DONE --> compute Bayes factors...DONE --> compute tail probabilities...DONE Conditional dependencies: --> compute partial correlation estimates...DONE --> compute Bayes factors...DONE --> compute tail probabilities...DONE Preprocessing... Marginal dependencies: --> compute marginal correlation estimates...DONE --> compute Bayes factors...DONE --> compute tail probabilities...DONE Conditional dependencies: --> compute partial correlation estimates...DONE --> compute Bayes factors...DONE --> compute tail probabilities...DONE Number of clusters identified with algorithm "cluster_louvain": 4 Number of nodes in each cluster: 59 65 43 22 Modularity = 0.1234787Number of clusters identified with algorithm "cluster_louvain": 7 Number of nodes in each cluster: 39 16 40 42 15 21 16 Modularity = 0.06109911Number of clusters identified with algorithm "cluster_louvain": 4 Number of nodes in each cluster: 14 56 71 48 Modularity = 0.1269929Number of clusters identified with algorithm "cluster_louvain": 7 Number of nodes in each cluster: 23 33 28 41 31 11 22 Modularity = 0.06038142Number of clusters identified with algorithm "cluster_louvain": 68 Number of nodes in each cluster: 13 20 11 4 2 9 1 1 1 2 11 2 1 1 1 1 13 1 5 4 3 9 1 1 2 1 4 6 10 4 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 Modularity = 0.8685276 Number of clusters identified with algorithm "cluster_louvain": 3 Number of nodes in each cluster: 75 55 59 Modularity = 0.185734 Number of clusters identified with algorithm "cluster_louvain": 68 Number of nodes in each cluster: 13 16 11 8 2 9 1 1 1 2 11 2 1 1 1 1 13 1 5 4 3 9 1 1 2 1 4 6 10 4 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 Modularity = 0.8735875 Preprocessing... Marginal dependencies: --> compute marginal correlation estimates...DONE --> compute Bayes factors...DONE --> compute tail probabilities...DONE Conditional dependencies: --> compute partial correlation estimates...DONE --> compute Bayes factors...DONE --> compute tail probabilities...DONE Preprocessing... Marginal dependencies: --> compute marginal correlation estimates...DONE --> compute Bayes factors...DONE --> compute tail probabilities...DONE Conditional dependencies: --> compute partial correlation estimates...DONE --> compute Bayes factors...DONE --> compute tail probabilities...DONE Number of clusters identified with algorithm "cluster_louvain": 4 Number of nodes in each cluster: 61 51 26 26 Modularity = 0.1038918Number of clusters identified with algorithm "cluster_louvain": 5 Number of nodes in each cluster: 30 28 31 33 42 Modularity = 0.05128792Number of clusters identified with algorithm "cluster_louvain": 3 Number of nodes in each cluster: 56 55 53 Modularity = 0.1056541Number of clusters identified with algorithm "cluster_louvain": 7 Number of nodes in each cluster: 41 27 28 15 22 23 8 Modularity = 0.04918543Number of clusters identified with algorithm "cluster_louvain": 110 Number of nodes in each cluster: 2 1 2 2 2 9 1 1 1 3 8 2 1 1 2 1 1 1 8 1 1 3 1 1 7 1 1 1 3 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 1 1 1 1 1 1 1 2 2 1 1 2 1 1 1 1 2 1 1 1 1 1 2 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Modularity = 0.9190672 Number of clusters identified with algorithm "cluster_louvain": 4 Number of nodes in each cluster: 36 63 50 15 Modularity = 0.1692949 Number of clusters identified with algorithm "cluster_louvain": 110 Number of nodes in each cluster: 2 1 2 2 2 9 1 1 1 3 8 2 1 1 2 1 1 1 8 1 1 3 1 1 7 1 1 1 3 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 1 1 1 1 1 1 1 2 2 1 1 2 1 1 1 1 2 1 1 1 1 1 2 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Modularity = 0.9190672 --> Preprocessing... DONE --> compute eigenvalues and optimal shrinkage... DONE --> compute rzij2... DONE --> compute tail probabilities... DONE estimated computing time (in seconds): 0.03 --> Preprocessing... DONE --> compute eigenvalues and optimal shrinkage... DONE --> compute rzij2... DONE --> compute tail probabilities... DONE estimated computing time (in seconds): 0.03 [ FAIL 0 | WARN 1 | SKIP 0 | PASS 135 ] [ FAIL 0 | WARN 1 | SKIP 0 | PASS 135 ] > > proc.time() user system elapsed 6.67 0.73 7.36