BDgraph (version 2.57)

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

Description

Visualizes structure of the graph.

Usage

# S3 method for graph
plot( x, main = NULL, layout = layout.circle, ... )

Arguments

x

An object of S3 class "graph", from function graph.sim.

main

Graphical parameter (see plot).

layout

The vertex placement algorithm which is according to R package igraph.

…

System reserved (no specific usage).

References

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

Mohammadi, A. and Wit, E. C. (2015). BDgraph: An R Package for Bayesian Structure Learning in Graphical Models, arXiv preprint arXiv:1501.05108v2

Letac, G., Massam, H. and Mohammadi, R. (2018). The Ratio of Normalizing Constants for Bayesian Graphical Gaussian Model Selection, arXiv preprint arXiv:1706.04416v2

Dobra, A. and Mohammadi, R. (2018). Loglinear Model Selection and Human Mobility, Annals of Applied Statistics, 12(2):815-845

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

Mohammadi, A. and Dobra, A. (2017). The R Package BDgraph for Bayesian Structure Learning in Graphical Models, ISBA Bulletin, 24(4):11-16

See Also

graph.sim, bdgraph.sim

Examples

# NOT RUN {
# Generating a 'random' graph 
adj <- graph.sim( p = 10, graph = "random" )
plot( adj )
adj
# }