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FBMS: Flexible Bayesian Model Selection and Model Averaging

Implements MJMCMC (mode jumping MCMC) described in Hubin and Storvik (2018) <doi:10.1016/j.csda.2018.05.020> and GMJMCMC (genetically modified MJMCMC) described in Hubin et al. (2021) <doi:10.1613/jair.1.13047> algorithms as well as the subsampling counterpart described in Lachmann et al. (2022) <doi:10.1016/j.ijar.2022.08.018> for flexible Bayesian model selection and model averaging.

Version: 1.0
Depends: R (≥ 3.5.0), fastglm, GenSA, parallel, stats, graphics
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, markdown
Published: 2023-12-21
DOI: 10.32614/CRAN.package.FBMS
Author: Jon Lachmann [cre, aut], Aliaksandr Hubin [aut]
Maintainer: Jon Lachmann <jon at lachmann.nu>
License: GPL-2
NeedsCompilation: yes
Materials: README
CRAN checks: FBMS results

Documentation:

Reference manual: FBMS.pdf
Vignettes: FBMS - Flexible Bayesian Model Selection and Model Averaging

Downloads:

Package source: FBMS_1.0.tar.gz
Windows binaries: r-devel: FBMS_1.0.zip, r-release: FBMS_1.0.zip, r-oldrel: FBMS_1.0.zip
macOS binaries: r-release (arm64): FBMS_1.0.tgz, r-oldrel (arm64): FBMS_1.0.tgz, r-release (x86_64): FBMS_1.0.tgz, r-oldrel (x86_64): FBMS_1.0.tgz

Linking:

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