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.

Version: 1.1.0
Imports: MCMCpack, MASS, mgcv, mnormt, truncnorm
Published: 2017-08-09
DOI: 10.32614/CRAN.package.MBSGS
Author: Benoit Liquet, Matthew Sutton
Maintainer: Benoit Liquet <benoit.liquet at qut.edu.au>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
CRAN checks: MBSGS results


Reference manual: MBSGS.pdf


Package source: MBSGS_1.1.0.tar.gz
Windows binaries: r-devel: MBSGS_1.1.0.zip, r-release: MBSGS_1.1.0.zip, r-oldrel: MBSGS_1.1.0.zip
macOS binaries: r-release (arm64): MBSGS_1.1.0.tgz, r-oldrel (arm64): MBSGS_1.1.0.tgz, r-release (x86_64): MBSGS_1.1.0.tgz, r-oldrel (x86_64): MBSGS_1.1.0.tgz
Old sources: MBSGS archive


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