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 and multivariate, 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.
| Version: |
4.1.1 |
| Depends: |
R (≥ 4.3.0) |
| Imports: |
BayesTools (≥ 0.4.0), bridgesampling, loo (≥ 2.10.0), MASS, Matrix (≥ 1.6-2), parallel, ps, runjags, rjags, statmod, stats, graphics, mvtnorm, scales, Rdpack, rlang, coda, ggplot2 |
| LinkingTo: |
Matrix (≥ 1.6-2), mvtnorm |
| Suggests: |
metafor (≥ 5.0-1), posterior, weightr, lme4, fixest, metaBMA, emmeans, metadat, testthat (≥ 3.3.2), R6, withr, cli, vdiffr, knitr, rmarkdown, covr, pkgload, processx |
| Published: |
2026-11-08 |
| DOI: |
10.32614/CRAN.package.RoBMA |
| Author: |
František Bartoš 
[aut, cre],
Maximilian Maier
[aut],
Eric-Jan Wagenmakers
[ths],
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.) |
| Maintainer: |
František Bartoš <f.bartos96 at gmail.com> |
| BugReports: |
https://github.com/FBartos/RoBMA/issues |
| License: |
GPL-3 |
| URL: |
https://fbartos.github.io/RoBMA/ |
| NeedsCompilation: |
yes |
| SystemRequirements: |
JAGS (>= 4.3.1, < 5.0.0)
(https://mcmc-jags.sourceforge.io/) |
| Citation: |
RoBMA citation info |
| Materials: |
README, NEWS |
| In views: |
Bayesian, MetaAnalysis |
| CRAN checks: |
RoBMA results |