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 <https://orcid.org/0000-0001-9538-0648>
Date of publication2018-10-05 08:00:02 UTC
MaintainerReza Mohammadi <[email protected]>
LicenseGPL (>= 2)
Version1.5
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")

Try the ssgraph package in your browser

Any scripts or data that you put into this service are public.

ssgraph documentation built on Oct. 5, 2018, 9:04 a.m.