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: 1.2
Depends: R (≥ 3.5.0), fastglm, GenSA, parallel, methods, stats, graphics, r2r, BAS, tolerance
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, markdown, lme4, kernlab, mvtnorm, cAIC4
Published: 2025-09-12
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 - Flexible Bayesian Model Selection and Model Averaging (source, R code)

Downloads:

Package source: FBMS_1.2.tar.gz
Windows binaries: r-devel: FBMS_1.1.zip, r-release: FBMS_1.1.zip, r-oldrel: FBMS_1.1.zip
macOS binaries: r-release (arm64): FBMS_1.2.tgz, r-oldrel (arm64): FBMS_1.2.tgz, r-release (x86_64): FBMS_1.2.tgz, r-oldrel (x86_64): FBMS_1.2.tgz
Old sources: FBMS archive

Linking:

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