rmsBMA: Reduced Model Space Bayesian Model Averaging
Implements Bayesian model averaging for settings with many
candidate regressors relative to the available sample size, including
cases where the number of regressors exceeds the number of observations.
By restricting attention to models with at most M regressors, the package
supports reduced model space inference, thereby preserving degrees of
freedom for estimation. It provides posterior summaries, Extreme Bounds
Analysis, model selection procedures, joint inclusion measures, and
graphical tools for exploring model probabilities, model size
distributions, and coefficient distributions. The methodological
approach follows Doppelhofer and Weeks (2009) <doi:10.1002/jae.1046>.
| Version: |
0.1.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
ggplot2, ggpubr, grid, gridExtra, Matrix, stats, tidyr, utils |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-03-14 |
| DOI: |
10.32614/CRAN.package.rmsBMA |
| Author: |
Krzysztof Beck 
[aut, cre] |
| Maintainer: |
Krzysztof Beck <beckkrzysztof at gmail.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Language: |
en-US |
| CRAN checks: |
rmsBMA results |
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