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