Robust Bayesian Meta-Analyses R package RoBMA version 4.0.0 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) 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. Software Depends: R (>= 4.0.0) Imports: BayesTools (>= 0.3.0), bridgesampling, loo, MASS, parallel, runjags, rjags, stats, graphics, mvtnorm, scales, Rdpack, rlang, coda, ggplot2 LinkingTo: mvtnorm Suggests: metafor, posterior, weightr, lme4, fixest, metaBMA, emmeans, metadat, testthat, vdiffr, knitr, rmarkdown, covr František Bartoš <f.bartos96@gmail.com> Comprehensive R Archive Network (CRAN) 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.) GPL-3 2026-05-07 application/tgz https://CRAN.R-project.org/package=RoBMA doi:10.32614/CRAN.package.RoBMA