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.

Getting started

Package details

AuthorBenoit Liquet, Matthew Sutton
MaintainerBenoit Liquet <benoit.liquet@qut.edu.au>
LicenseGPL (>= 2.0)
Package repositoryView on CRAN
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MBSGS documentation built on May 2, 2019, 4:18 a.m.