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
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

Documentation:

Reference manual:

MBSGS.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MBSGS to link to this page.