RoBMA: Robust Bayesian Meta-Analyses
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.
| Version: |
4.0.0 |
| 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 |
| Published: |
2026-05-07 |
| 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 (https://mcmc-jags.sourceforge.io/) |
| Citation: |
RoBMA citation info |
| Materials: |
README, NEWS |
| In views: |
Bayesian, MetaAnalysis |
| CRAN checks: |
RoBMA results |
Documentation:
| Reference manual: |
RoBMA.html , RoBMA.pdf
|
| Vignettes: |
Introduction to RoBMA (source, R code)
Prior Distributions (source, R code)
Bayesian Meta-Analysis (source, R code)
Feature Coverage (source, R code)
Multilevel Meta-Analysis (source, R code)
Publication-Bias Adjustment (source, R code)
Location-Scale Meta-Analysis (source, R code)
Generalized Linear Mixed-Effects Meta-Analysis (source, R code)
Bayesian Model Averaging (source, R code)
Robust Bayesian Meta-Analysis (source, R code)
Tutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis (source, R code)
Robust Bayesian Model-Averaged Meta-Regression (source, R code)
Multilevel Robust Bayesian Meta-Analysis (source, R code)
Multilevel Robust Bayesian Model-Averaged Meta-Regression (source, R code)
Informed Bayesian Model-Averaged Meta-Analysis in Medicine (source, R code)
Informed Bayesian Model-Averaged Meta-Analysis with Binary Outcomes (source, R code)
Zplot Publication-Bias Diagnostics (source, R code)
|
Downloads:
Reverse dependencies:
Linking:
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