BayesVarSel: Bayes Factors, Model Choice and Variable Selection in Linear Models

Bayes factors and posterior probabilities in Linear models, aimed at provide a formal Bayesian answer to testing and variable selection problems.

Version: 2.2.5
Depends: MASS (≥ 7.3-45), mvtnorm (≥ 1.0-5), parallel (≥ 3.3), R (≥ 3.5.0)
Suggests: knitr, faraway, hdi
Published: 2023-03-08
Author: Gonzalo Garcia-Donato [aut, cre], Anabel Forte [aut], Carlos Vergara-Hernández [ctb]
Maintainer: Gonzalo Garcia-Donato <gonzalo.garciadonato at uclm.es>
BugReports: https://github.com/comodin19/BayesVarSel/issues
License: GPL-2
URL: https://github.com/comodin19/BayesVarSel
NeedsCompilation: yes
SystemRequirements: GNU Scientific Library
Citation: BayesVarSel citation info
Materials: NEWS
In views: Bayesian
CRAN checks: BayesVarSel results

Documentation:

Reference manual: BayesVarSel.pdf

Downloads:

Package source: BayesVarSel_2.2.5.tar.gz
Windows binaries: r-devel: BayesVarSel_2.2.5.zip, r-release: BayesVarSel_2.2.5.zip, r-oldrel: BayesVarSel_2.2.5.zip
macOS binaries: r-release (arm64): BayesVarSel_2.2.5.tgz, r-oldrel (arm64): BayesVarSel_2.2.5.tgz, r-release (x86_64): BayesVarSel_2.2.5.tgz
Old sources: BayesVarSel archive

Reverse dependencies:

Reverse suggests: WALS

Linking:

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