ssgraph (version 1.16)

plot.ssgraph: 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 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

Reza Mohammadi

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

if (FALSE) {
# 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)
}