Package: RoBMA
Title: Robust Bayesian Meta-Analyses
Version: 4.0.0
Maintainer: František Bartoš <f.bartos96@gmail.com>
Authors@R: c( 
    person("František", "Bartoš",     role = c("aut", "cre"),
    email   = "f.bartos96@gmail.com", comment = c(ORCID = "0000-0002-0018-5573")),
    person("Maximilian", "Maier",     role = "aut",
    email   = "maximilianmaier0401@gmail.com", comment = c(ORCID = "0000-0002-9873-6096")),
    person("Eric-Jan", "Wagenmakers", role = "ths",
    comment = c(ORCID = "0000-0003-1596-1034")),
    person("Joris", "Goosen",         role = "ctb"),
    person("Matthew", "Denwood", role="cph", 
           comment="Original copyright holder of some modified code where indicated."),
    person("Martyn", "Plummer", role="cph", 
           comment="Original copyright holder of some modified code where indicated.")
    )
Description: A framework for Bayesian meta-analysis, including model
        estimation, prior specification, model comparison, prediction,
        summaries, visualizations, and diagnostics. The package fits
        single and model-averaged meta-analytic, meta-regression,
        multilevel, publication bias adjusted, and generalized linear
        mixed models The model-averaged meta-analytic models combine
        competing models based on their predictive performance, weight
        inference by posterior model probabilities, and test model
        components using Bayes factors (e.g., effect vs. no effect;
        Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš &
        Wagenmakers, 2022, <doi:10.1037/met0000405>; Bartoš et al.,
        2025, <doi:10.1037/met0000737>). Users can specify flexible
        prior distributions for effect sizes, heterogeneity,
        publication bias (including selection models and PET-PEESE),
        and moderators.
URL: https://fbartos.github.io/RoBMA/
BugReports: https://github.com/FBartos/RoBMA/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
SystemRequirements: JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/)
NeedsCompilation: yes
Depends: R (>= 4.0.0)
Imports: BayesTools (>= 0.3.0), bridgesampling, loo, MASS, parallel,
        runjags, rjags, stats, graphics, mvtnorm, scales, Rdpack,
        rlang, coda, ggplot2
Suggests: metafor, posterior, weightr, lme4, fixest, metaBMA, emmeans,
        metadat, testthat, vdiffr, knitr, rmarkdown, covr
LinkingTo: mvtnorm
RdMacros: Rdpack
VignetteBuilder: knitr
Config/pak/sysreqs: jags libicu-dev
Repository: https://fbartos.r-universe.dev
Date/Publication: 2026-05-07 13:26:48 UTC
RemoteUrl: https://github.com/fbartos/robma
RemoteRef: HEAD
RemoteSha: 09d07b90f91c26d4e2eac863647cb858633f8d78
Packaged: 2026-06-24 09:07:00 UTC; root
Author: František Bartoš [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0018-5573>),
  Maximilian Maier [aut] (ORCID: <https://orcid.org/0000-0002-9873-6096>),
  Eric-Jan Wagenmakers [ths] (ORCID:
    <https://orcid.org/0000-0003-1596-1034>),
  Joris Goosen [ctb],
  Matthew Denwood [cph] (Original copyright holder of some modified code
    where indicated.),
  Martyn Plummer [cph] (Original copyright holder of some modified code
    where indicated.)