BDgraph (version 2.23)

summary.bdgraph: Summary function for S3 class "bdgraph"

Description

Provides a summary of the result for function bdgraph.

Usage

## S3 method for class 'bdgraph':
summary( object, vis = TRUE, ... )

Arguments

object

An object of S3 class "bdgraph", from function bdgraph.

vis

Visualize the result. The default value is TRUE.

...

System reserved (no specific usage).

Value

• best.graph
  The adjacency matrix corresponding to the selected graph which has the highest posterior probability.
• phat
  An upper triangular matrix corresponding to the posterior probabilities of all possible links.
• Khat
  The estimated precision matrix.

References

Mohammadi, A. and E. Wit (2015). Bayesian Structure Learning in Sparse Gaussian Graphical Models, Bayesian Analysis, 10(1):109-138 Mohammadi, A. and E. Wit (2015). BDgraph: An R Package for Bayesian Structure Learning in Graphical Models, arXiv:1501.05108 Mohammadi, A., F. Abegaz Yazew, E. van den Heuvel, and E. Wit (2015). Bayesian Gaussian Copula Graphical Modeling for Dupuytren Disease, arXiv:1501.04849

See Also

bdgraph

Examples

# Generating multivariate normal data from a 'random' graph
data.sim <- bdgraph.sim( n = 50, p = 6, size = 7, vis = TRUE )
   
output   <- bdgraph( data = data.sim )
   
summary( output )
   
output   <- bdgraph( data = data.sim, save.all = TRUE )
   
summary( output )
   
summary( output, vis = FALSE )