FBMS: Flexible Bayesian Model Selection and Model Averaging (original) (raw)
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 |
| License: | GPL-2 |
| URL: | https://github.com/jonlachmann/FBMS |
| NeedsCompilation: | yes |
| Language: | en-US |
| CRAN checks: | FBMS results |
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