Bayesian Graph Structure Learning using Spike-and-Slab Priors

Bayesian estimation for undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data.

ssgraph

The R package ssgraph is designed for Bayesian structure learning in graphical models using spike-and-slab priors. To speed up the computations, the computationally intensive tasks of the package are implemented in C++ in parallel using OpenMP.

Installation

You can install the latest version from CRAN using:

install.packages( "ssgraph" )

require( "ssgraph" )

To see how to use the functionality of the package:

https://CRAN.R-project.org/package=ssgraph/vignettes/ssgraph-example.html