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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
DOI: 10.32614/CRAN.package.BayesVarSel
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, r-oldrel (x86_64): BayesVarSel_2.2.5.tgz
Old sources: BayesVarSel archive

Reverse dependencies:

Reverse imports: PEPBVS
Reverse suggests: WALS

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.