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

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/ssgraph.R

Description

Provides a summary of the results for function ssgraph.

Usage

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

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).

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.

Author(s)

Reza Mohammadi a.mohammadi@uva.nl

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

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## Not run: 
# 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 )

## End(Not run)

ssgraph documentation built on July 8, 2020, 7:32 p.m.