plot.sim {BDgraph}R Documentation

Plot function for S3 class "sim"

Description

Visualizes structure of the true graph.

Usage

## S3 method for class 'sim'
plot( x, ... )

Arguments

x

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

...

System reserved (no specific usage).

Author(s)

Reza Mohammadi a.mohammadi@uva.nl and Ernst Wit

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

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

See Also

graph.sim, bdgraph.sim

Examples

# Generating synthetic multivariate normal data from a 'random' graph
data.sim <- bdgraph.sim( n = 10, p = 15 )
  
plot( data.sim )

[Package BDgraph version 2.64 Index]