MBSGS: Multivariate Bayesian Sparse Group Selection with Spike and Slab

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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.

Author
Benoit Liquet, Matthew Sutton
Date of publication
2016-08-27 00:33:23
Maintainer
Benoit Liquet <benoit.liquet@qut.edu.au>
License
GPL (>= 2.0)
Version
1.0.0

View on CRAN

Man pages

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...

Files in this package

MBSGS
MBSGS/NAMESPACE
MBSGS/R
MBSGS/R/BGLSS.R
MBSGS/R/BSGSSS.R
MBSGS/R/MBGLSS.R
MBSGS/R/MBSGSSS.R
MBSGS/R/MBSGS-internal.R
MBSGS/MD5
MBSGS/DESCRIPTION
MBSGS/man
MBSGS/man/BGLSS.Rd
MBSGS/man/MBSGS-internal.Rd
MBSGS/man/MBSGSSS.Rd
MBSGS/man/MBGLSS.Rd
MBSGS/man/BSGSSS.Rd