Package: rmsBMA
Title: Reduced Model Space Bayesian Model Averaging
Version: 0.2.0
Authors@R: 
    person("Krzysztof", "Beck", , "beckkrzysztof@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-3679-2962"))
Description: 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. When the model space is too
    large to enumerate, it can be explored by Markov chain Monte Carlo model
    composition instead. The methodological approach follows Doppelhofer and
    Weeks (2009) <doi:10.1002/jae.1046> and Madigan and York (1995)
    <doi:10.2307/1403615>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
Imports: ggplot2, ggpubr, grid, gridExtra, Matrix, stats, tidyr, utils
Depends: R (>= 3.5.0)
LazyData: true
Language: en-US
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-09-06 21:41:54 UTC; becku
Author: Krzysztof Beck [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3679-2962>)
Maintainer: Krzysztof Beck <beckkrzysztof@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-07 06:50:02 UTC
