plot.ssgraph: Plot function for 'S3' class '"ssgraph"'

In ssgraph: Bayesian Graph Structure Learning using Spike-and-Slab Priors

Plot function for S3 class "ssgraph"

Description

Visualizes structure of the selected graphs which could be a graph with links for which their estimated posterior probabilities are greater than 0.5 or graph with the highest posterior probability.

Usage

 ## S3 method for class 'ssgraph'
plot( x, cut = 0.5, ... ) 

Arguments

x	An object of S3 class "ssgraph", from function ssgraph.
cut	Threshold for including the links in the selected graph based on the estimated posterior probabilities of the links; See the examples.
...	System reserved (no specific usage).

Author(s)

Reza Mohammadi [e-mail]

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

## Not run: 
# Generating multivariate normal data from a 'scale-free' graph
data.sim <- bdgraph.sim( n = 60, p = 7, graph = "scale-free", vis = TRUE )

ssgraph.obj <- ssgraph( data = data.sim )

plot( ssgraph.obj )

plot( ssgraph.obj, cut = 0.3 )

## End(Not run)

ssgraph documentation built on Dec. 28, 2022, 2:37 a.m.