ssgraph (version 1.15)

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

Description

Provides a summary of the results for function ssgraph.

Usage

# S3 method for ssgraph
summary( object, round = 2, vis = TRUE, ... )

Value

selected_g

The adjacency matrix corresponding to the selected graph which has the highest posterior probability.

p_links

An upper triangular matrix corresponding to the posterior probabilities of all possible links.

K_hat

The estimated precision matrix.

Arguments

object

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

round

A value for rounding all probabilities to the specified number of decimal places.

vis

Visualize the results.

...

System reserved (no specific usage).

Author

Reza Mohammadi

References

Mohammadi, R. and Wit, E. C. (2019). BDgraph: An R Package for Bayesian Structure Learning in Graphical Models, Journal of Statistical Software, 89(3):1-30

Mohammadi, A. and Wit, E. C. (2015). Bayesian Structure Learning in Sparse Gaussian Graphical Models, Bayesian Analysis, 10(1):109-138

Mohammadi, A. et al (2017). Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models, Journal of the Royal Statistical Society: Series C, 66(3):629-645

See Also

ssgraph

Examples

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