ssgraph: Bayesian Graphical Estimation using Spike-and-Slab Priors
Version 1.5

For Bayesian inference in undirected graphical models using spike-and-slab priors, continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models' literature, including Wang (2015) . To speed up the computations, the computationally intensive tasks of the package are implemented in C++ in parallel using OpenMP.

Package details

AuthorReza Mohammadi <>
Date of publication2018-10-05 08:00:02 UTC
MaintainerReza Mohammadi <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ssgraph documentation built on Oct. 5, 2018, 9:04 a.m.