MBSGS: Multivariate Bayesian Sparse Group Selection with Spike and Slab

An implementation of a Bayesian sparse group model using spike and slab priors in a regression context. It is designed for regression with a multivariate response variable, but also provides an implementation for univariate response.

Install the latest version of this package by entering the following in R:
install.packages("MBSGS")
AuthorBenoit Liquet, Matthew Sutton
Date of publication2016-08-27 00:33:23
MaintainerBenoit Liquet <benoit.liquet@qut.edu.au>
LicenseGPL (>= 2.0)
Version1.0.0

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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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