Learn R Programming

MBSGS (version 1.1.0)

Multivariate Bayesian Sparse Group Selection with Spike and Slab

Description

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.

Copy Link

Version

Install

install.packages('MBSGS')

Monthly Downloads

158

Version

1.1.0

License

GPL (>= 2.0)

Maintainer

Benoit Liquet

Last Published

August 9th, 2017

Functions in MBSGS (1.1.0)

BGLSS

Bayesian Group Lasso with Spike and Slab prior
BSGSSS

Bayesian Sparse Group Selection with Spike and Slab priors
MBGLSS

Multivariate Bayesian Group Lasso with Spike and Slab prior
MBSGS-internal

Internal Functions
MBSGSSS

Multivariate Bayesian Sparse Group Selection with Spike and Slab priors