MBSGS: Multivariate Bayesian Sparse Group Selection with Spike and Slab
Version 1.0.0

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.

Getting started

Package details

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
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MBSGS")

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MBSGS documentation built on May 29, 2017, 12:10 p.m.