BDgraph (version 2.19)

plot.bdgraph: Plot function for S3 class "bdgraph"

Description

Visualize pattern of the graphs with the highest posterior probabilities.

Usage

## S3 method for class 'bdgraph':
plot( x, g = 1, layout = layout.circle, ... )

Arguments

x

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

g

The number of graphs with highest probabilities (default is 1).

layout

The vertex placement algorithm which is according to igraph package. The default is "layout.circle".

...

System reserved (no specific usage).

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 preprint arXiv:1501.05108v2 Mohammadi, A., F. Abegaz Yazew, E. van den Heuvel, and E. Wit (2015). Bayesian Modeling of Dupuytren Disease Using Gaussian Copula Graphical Models, Arxiv preprint arXiv:1501.04849v2

See Also

bdgraph

Examples

# generating multivariate normal data from a 'random' graph
data.sim <- bdgraph.sim( n = 50, p = 6, vis = TRUE )

output   <- bdgraph( data = data.sim )

plot(output)

plot( output, g = 4 )