coglasso.md
In coglasso: Collaborative Graphical Lasso - Multi-Omics Network Reconstruction

print.coglasso works

Code
  cg <- coglasso(multi_omics_sd_micro, p = 4, nlambda_w = 3, nlambda_b = 3, nc = 2,
    verbose = FALSE)
  print(cg)
Output
  Networks estimated with collaborative graphical lasso

  The call was:
  coglasso(data = multi_omics_sd_micro, p = 4, nlambda_w = 3, nlambda_b = 3, 
      nc = 2, verbose = FALSE)

  The total number of hyperparameter combinations explored was:
  18
  The values explored for lambda within were:
  0.8743, 0.6852, 0.0874
  The values explored for lambda between were:
  0.4816, 0.3775, 0.0482
  The values explored for c were:
  0.01, 100

  Networks are made of 2 omics layers, for a total of 6 nodes
  For each layer they have: 4 and 2 nodes, respectively

  Select the best network with:
  sel_cg <- select_coglasso(cg)