ssgraph: Bayesian Graphical Estimation using Spike-and-Slab Priors

Bayesian estimation of graph structure learning in undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data. To speed up the computations, the computationally intensive tasks of the package are implemented in C++ in parallel using OpenMP.

Package details

AuthorReza Mohammadi <>
MaintainerReza Mohammadi <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ssgraph documentation built on Nov. 9, 2018, 1:04 a.m.