easybgm.md
In easybgm: Extracting and Visualizing Bayesian Graphical Models

easybgm works for bgms

Code
  summary(res_bgms)
Output

   BAYESIAN ANALYSIS OF NETWORKS 
   Model type: ordinal 
   Number of nodes: 5 
   Fitting Package: bgms 
  --- 
   EDGE SPECIFIC OVERVIEW 
            Relation Estimate Posterior Incl. Prob. Inclusion BF     Category
    intrusion-dreams    0.635                 1.000          Inf     included
     intrusion-flash    0.712                 1.000          Inf     included
        dreams-flash    0.405                 1.000          Inf     included
     intrusion-upset    0.000                 0.029        0.030     excluded
        dreams-upset    0.064                 0.285        0.399 inconclusive
         flash-upset    0.354                 0.883        7.547 inconclusive
   intrusion-physior    0.337                 0.968       30.250     included
      dreams-physior    0.003                 0.028        0.029     excluded
       flash-physior    0.031                 0.152        0.179 inconclusive
       upset-physior    0.977                 1.000          Inf     included

   Bayes Factors larger than 10 were considered sufficient evidence for the classification 
   Bayes factors were obtained using Bayesian model-averaging. 
   --- 
   AGGREGATED EDGE OVERVIEW 
   Number of edges with sufficient evidence for inclusion: 5 
   Number of edges with insufficient evidence: 3 
   Number of edges with sufficient evidence for exclusion: 2 
   Number of possible edges: 10

   --- 
   STRUCTURE OVERVIEW 
   Number of visited structures: 21 
   Number of possible structures: 1024 
   Posterior probability of most likely structure: 0.508 
  ---

easybgm works for bdgraph

Code
  summary(res_bdgraph)
Output

   BAYESIAN ANALYSIS OF NETWORKS 
   Model type: ggm 
   Number of nodes: 5 
   Fitting Package: bdgraph 
  --- 
   EDGE SPECIFIC OVERVIEW 
            Relation Estimate Posterior Incl. Prob. Inclusion BF     Category
    intrusion-dreams    0.379                  1.00          Inf     included
     intrusion-flash    0.439                  1.00          Inf     included
        dreams-flash    0.262                  1.00          Inf     included
     intrusion-upset    0.277                  1.00          Inf     included
        dreams-upset    0.182                  1.00          Inf     included
         flash-upset    0.020                  0.21        0.266 inconclusive
   intrusion-physior    0.000                  0.00        0.000     excluded
      dreams-physior    0.013                  0.27        0.370 inconclusive
       flash-physior    0.285                  1.00          Inf     included
       upset-physior    0.595                  1.00          Inf     included

   Bayes Factors larger than 10 were considered sufficient evidence for the classification 
   Bayes factors were obtained using Bayesian model-averaging. 
   --- 
   AGGREGATED EDGE OVERVIEW 
   Number of edges with sufficient evidence for inclusion: 7 
   Number of edges with insufficient evidence: 2 
   Number of edges with sufficient evidence for exclusion: 1 
   Number of possible edges: 10

   --- 
   STRUCTURE OVERVIEW 
   Number of visited structures: 4 
   Number of possible structures: 1024 
   Posterior probability of most likely structure: 0.592 
  ---

easybgm works for sparse vs dense

Code
  sparse_dense
Output
  $log.BF
  [1] -1.443074

  $BF
  [1] 0.2362006

  $relative.complexity.sparse
  [1] 0.6344

  $relative.complexity.dense
  [1] 0.7019

  $relative.complexity.uniform
  [1] 0.633

  $no.hypotheses
  [1] 3