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 <https://orcid.org/0000-0001-9538-0648>
MaintainerReza Mohammadi <[email protected]>
LicenseGPL (>= 2)
Version1.6
URL https://www.uva.nl/profile/a.mohammadi
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ssgraph")

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ssgraph documentation built on Nov. 9, 2018, 1:04 a.m.