Package: RoBMA
Title: Robust Bayesian Meta-Analyses
Version: 3.6.0
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 estimating ensembles of meta-analytic, meta-regression, and 
    multilevel models (assuming either presence or absence of the effect, heterogeneity,
    publication bias, and moderators). The RoBMA framework uses Bayesian model-averaging to 
    combine the competing meta-analytic models into a model ensemble, weights 
    the posterior parameter distributions based on posterior model probabilities 
    and uses Bayes factors to test for the presence or absence of the
    individual components (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 define a wide range of prior distributions for the effect size, heterogeneity, 
    publication bias (including selection models and PET-PEESE), and moderator components. 
    The package provides convenient functions for summary, visualizations, and fit diagnostics.
URL: https://fbartos.github.io/RoBMA/
BugReports: https://github.com/FBartos/RoBMA/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
SystemRequirements: JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/)
NeedsCompilation: yes
Depends: R (>= 4.0.0)
Imports: BayesTools (>= 0.2.19), runjags, rjags, stats, graphics,
        mvtnorm, scales, Rdpack, rlang, coda, ggplot2
Suggests: parallel, metaBMA, metafor, weightr, lme4, fixest, emmeans,
        metadat, testthat, vdiffr, knitr, rmarkdown, covr
LinkingTo: mvtnorm
RdMacros: Rdpack
VignetteBuilder: knitr
Packaged: 2025-09-10 11:18:41 UTC; fbartos
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.)
Repository: CRAN
Date/Publication: 2025-09-10 15:20:12 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-11-12 03:36:37 UTC; windows
Archs: x64
