BAYESIAN ANALYSIS OF NETWORKS 
 Model type: ggm 
 Number of nodes: 7 
 Fitting Package: bggm 
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 EDGE SPECIFIC OVERVIEW 

 Bayes factors larger than 10 were considered sufficient evidence for the classification. 
 Bayes factors were obtained via single-model comparison. 
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 AGGREGATED EDGE OVERVIEW 
 Number of edges with sufficient evidence for inclusion: 6 
 Number of edges with insufficient evidence: 15 
 Number of edges with sufficient evidence for exclusion: 0 
 Number of possible edges: 21 


        MIK    MHK    MIA    MIB    MHB    MHA    DEP
[1,]  0.000  0.568  0.095 -0.042  0.084  0.031 -0.087
[2,]  0.568  0.000  0.042  0.003 -0.008  0.169  0.044
[3,]  0.095  0.042  0.000  0.081  0.009  0.510 -0.083
[4,] -0.042  0.003  0.081  0.000  0.413  0.190 -0.263
[5,]  0.084 -0.008  0.009  0.413  0.000  0.046  0.012
[6,]  0.031  0.169  0.510  0.190  0.046  0.000 -0.198
[7,] -0.087  0.044 -0.083 -0.263  0.012 -0.198  0.000

Edge(DEP-MIB)