Package: BayesVarSel 2.6.0

Gonzalo Garcia-Donato

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.

Authors:Gonzalo Garcia-Donato [aut, cre], Anabel Forte [aut], Carlos Vergara-Hernández [ctb]

BayesVarSel_2.6.0.tar.gz
BayesVarSel_2.6.0.zip(r-4.7)BayesVarSel_2.6.0.zip(r-4.6)BayesVarSel_2.6.0.zip(r-4.5)
BayesVarSel_2.6.0.tgz(r-4.6-x86_64)BayesVarSel_2.6.0.tgz(r-4.6-arm64)BayesVarSel_2.6.0.tgz(r-4.5-x86_64)BayesVarSel_2.6.0.tgz(r-4.5-arm64)
BayesVarSel_2.6.0.tar.gz(r-4.7-arm64)BayesVarSel_2.6.0.tar.gz(r-4.7-x86_64)BayesVarSel_2.6.0.tar.gz(r-4.6-arm64)BayesVarSel_2.6.0.tar.gz(r-4.6-x86_64)
BayesVarSel_2.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BayesVarSel/json (API)

# Install 'BayesVarSel' in R:
install.packages('BayesVarSel', repos = c('https://comodin19.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/comodin19/bayesvarsel/issues

Uses libs:
  • gsl– GNU Scientific Library (GSL)
Datasets:

On CRAN:

Conda:

bayesian-methodslinear-modelsgsl

5.63 score 12 stars 1 packages 33 scripts 545 downloads 4 mentions 8 exports 2 dependencies

Last updated from:fd82dae371. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK134
linux-devel-x86_64OK121
source / vignettesOK169
linux-release-arm64OK132
linux-release-x86_64OK121
macos-release-arm64OK143
macos-release-x86_64OK227
macos-oldrel-arm64OK149
macos-oldrel-x86_64OK228
windows-develOK97
windows-releaseOK92
windows-oldrelOK87
wasm-releaseOK163

Exports:BMAcoeffBtestBvsGibbsBvsGibbsBvsFhistBMAJointnesspltltn

Dependencies:MASSmvtnorm