BDgraph (version 2.43)

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

Description

Visualizes structure of the true graph.

Usage

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

Arguments

x

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

main

Graphical parameter (see plot).

layout

The vertex placement algorithm which is according to igraph package.

…

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

Dobra, A. and A. Mohammadi (2017). Loglinear Model Selection and Human Mobility, arXiv preprint arXiv:1711.02623

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

Mohammadi, A., Massam H., and G. Letac (2017). The Ratio of Normalizing Constants for Bayesian Graphical Gaussian Model Selection, arXiv preprint arXiv:1706.04416

See Also

bdgraph

Examples

# NOT RUN {
# Generating synthetic multivariate normal data from a 'random' graph
data.sim <- bdgraph.sim( n = 10, p = 15 )
  
plot( data.sim )
# }