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FBMS: Flexible Bayesian Model Selection and Model Averaging

Implements the Mode Jumping Markov Chain Monte Carlo algorithm described in <doi:10.1016/j.csda.2018.05.020> and its Genetically Modified counterpart described in <doi:10.1613/jair.1.13047> as well as the sub-sampling versions described in <doi:10.1016/j.ijar.2022.08.018> for flexible Bayesian model selection and model averaging.

Version:1.3
Depends:R (≥ 3.5.0)
Imports:Rcpp,fastglm,GenSA, parallel, methods,r2r,BAS,tolerance
LinkingTo:Rcpp
Suggests:testthat,knitr,rmarkdown,markdown,lme4,kernlab,mvtnorm,cAIC4
Published:2025-11-20
DOI:10.32614/CRAN.package.FBMS
Author:Jon Lachmann [cre, aut], Aliaksandr Hubin [aut]
Maintainer:Jon Lachmann <jon at lachmann.nu>
License:GPL-2
URL:https://github.com/jonlachmann/FBMS
NeedsCompilation:yes
Language:en-US
CRAN checks:FBMS results

Documentation:

Reference manual:FBMS.html ,FBMS.pdf
Vignettes:FBMS-guide (source,R code)

Downloads:

Package source: FBMS_1.3.tar.gz
Windows binaries: r-devel:FBMS_1.3.zip, r-release:FBMS_1.3.zip, r-oldrel:FBMS_1.3.zip
macOS binaries: r-release (arm64):FBMS_1.3.tgz, r-oldrel (arm64):FBMS_1.3.tgz, r-release (x86_64):FBMS_1.3.tgz, r-oldrel (x86_64):FBMS_1.3.tgz
Old sources: FBMS archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=FBMSto link to this page.


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