R version 4.5.0 RC (2025-04-04 r88126 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": 3 
Number of nodes in each cluster: 75 64 50 
Modularity = 0.1267816Number of clusters identified with algorithm "cluster_louvain": 7 
Number of nodes in each cluster: 45 39 34 18 24 14 15 
Modularity = 0.05964603Number of clusters identified with algorithm "cluster_louvain": 4 
Number of nodes in each cluster: 30 46 68 45 
Modularity = 0.1270919Number of clusters identified with algorithm "cluster_louvain": 7 
Number of nodes in each cluster: 38 24 44 32 20 21 10 
Modularity = 0.05910075Number of clusters identified with algorithm "cluster_louvain": 67 
Number of nodes in each cluster: 13 24 11 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 = 0.8672626 
Number of clusters identified with algorithm "cluster_louvain": 4 
Number of nodes in each cluster: 81 35 55 18 
Modularity = 0.1836722 
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: 31 51 61 21 
Modularity = 0.1040094Number of clusters identified with algorithm "cluster_louvain": 6 
Number of nodes in each cluster: 35 25 32 30 20 22 
Modularity = 0.04638441Number of clusters identified with algorithm "cluster_louvain": 4 
Number of nodes in each cluster: 43 45 52 24 
Modularity = 0.1052342Number of clusters identified with algorithm "cluster_louvain": 5 
Number of nodes in each cluster: 32 24 51 28 29 
Modularity = 0.05264747Number 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: 53 22 46 43 
Modularity = 0.1715215 
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):  0.01 
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 135 ]
> 
> proc.time()
   user  system elapsed 
   3.90    0.34    4.18