Random-Effects Model | Heterogeneity | Funnel Plot | Meta-Regression with a Continuous Moderator | Comparing Models with Bayes Factors | Adding a Categorical Moderator | Model Diagnostics | References
Package: RoBMA 4.0.0
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.
Authors:
RoBMA_4.0.0.tar.gz
RoBMA_4.0.0.zip(r-4.7)RoBMA_4.0.0.zip(r-4.6)RoBMA_4.0.0.zip(r-4.5)
RoBMA_4.0.0.tgz(r-4.6-x86_64)RoBMA_4.0.0.tgz(r-4.6-arm64)RoBMA_4.0.0.tgz(r-4.5-x86_64)RoBMA_4.0.0.tgz(r-4.5-arm64)
RoBMA_4.0.0.tar.gz(r-4.7-arm64)RoBMA_4.0.0.tar.gz(r-4.7-x86_64)RoBMA_4.0.0.tar.gz(r-4.6-arm64)RoBMA_4.0.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RoBMA/json (API)
| # Install 'RoBMA' in R: |
| install.packages('RoBMA', repos = c('https://fbartos.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fbartos/robma/issues
Pkgdown/docs site:https://fbartos.github.io
Datasets:
- Anderson2010 - 23 experimental studies from Anderson et al. (2010) that meet the best practice criteria
- Andrews2021 - 39 study rows on household chaos and child executive functions from a meta-analysis by Andrews et al.
- Bem2011 - 9 experimental studies from Bem
- Havrankova2025 - 1159 effect sizes from a meta-analysis of beauty and professional success by Havránková et al.
- Hoppen2025 - 37 studies from a meta-analysis of social comparison as a behavior change technique by Hoppen et al.
- Johnides2025 - 412 effect sizes from a meta-analysis of secondary benefits of family-based treatments by Johnides et al.
- Kroupova2021 - 881 estimates from 69 studies of a relationship between employment and educational outcomes collected by Kroupova et al.
- Lui2015 - 18 studies of a relationship between acculturation mismatch and intergenerational cultural conflict collected by Lui
- ManyLabs16 - 55 effect sizes from Many Labs 2 replication studies of Tversky and Kahneman (1981) framing effects
- Poulsen2006 - 5 studies with a tactile outcome assessment from Poulsen et al. (2006) of the effect of potassium-containing toothpaste on dentine hypersensitivity
- Wang2025 - 70 effect sizes from a meta-analysis of ChatGPT's impact on student learning by Wang and Fan
- Weingarten2018 - 582 effect sizes examining the ease-of-retrieval effect from a meta-analysis by Weingarten and Hutchinson
meta-analysismodel-averagingpublication-biasjagscpp
Last updated from:09d07b90f9. Checks:12 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 215 | ||
| linux-devel-x86_64 | OK | 235 | ||
| source / vignettes | OK | 661 | ||
| linux-release-arm64 | OK | 224 | ||
| linux-release-x86_64 | OK | 265 | ||
| macos-release-arm64 | OK | 130 | ||
| macos-release-x86_64 | OK | 292 | ||
| macos-oldrel-arm64 | OK | 151 | ||
| macos-oldrel-x86_64 | OK | 453 | ||
| windows-devel | OK | 212 | ||
| windows-release | OK | 188 | ||
| windows-oldrel | OK | 210 | ||
| wasm-release | FAIL | 185 |
Exports:add_looadd_marglikadd_waicas_drawsas_draws_arrayas_draws_dfas_draws_listas_draws_matrixas_draws_rvarsas_zplotbayes_factorbfblupBMABMA.glmmBMA.normbPEESEbPETbridge_samplerbrmabrma.glmmbrma.normbselmodelcheck_loocontr.independentcontr.meandifcontr.orthonormalcovratiodffitsestimate_unit_information_sdfunnelgalbraithinterpretlogmllooloo_compareloo_weightsmarginal_meansplot_diagnosticplot_diagnostic_autocorrelationplot_diagnostic_densityplot_diagnostic_traceplot_pet_peeseplot_priorplot_weightfunctionpooled_effectpooled_heterogeneitypost_probprint_priorpriorprior_factorprior_informedprior_noneprior_PEESEprior_PETprior_weightfunctionradialranefregplotRoBMARoBMA.get_optionRoBMA.optionsset_autofit_controlset_convergence_checkssummary_heterogeneitysummary_modelstrue_effectsvifwaicwf_cumulativewf_fixedwf_independentzplot
Dependencies:abindbackportsBayesToolsbridgesamplingBrobdingnagcheckmateclicodacpp11distributionalextraDistrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmvtnormnumDerivpillarpkgconfigposteriorR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrjagsrlangrunjagsS7scalesstringistringrtensorAtibbleutf8vctrsviridisLitewithr
Bayesian Meta-Analysis
Last update: 2026-05-07
Started: 2026-05-07
Bayesian Model Averaging
Dataset | Comparing Fixed and Random Effects | From Two Fits to Model Averaging | Adding Effect Averaging | Meta-Regression with Model Averaging | Customizing Prior Components | Other brma Features | References
Last update: 2026-05-07
Started: 2026-05-07
Feature Coverage
References
Last update: 2026-05-07
Started: 2026-05-07
Generalized Linear Mixed-Effects Meta-Analysis
Binomial Random-Effects Model | Default Prior Distributions and the Auxiliary Parameter | Other Inference Helpers | References
Last update: 2026-05-07
Started: 2026-05-07
Informed Bayesian Model-Averaged Meta-Analysis in Medicine
Reproducing Informed Bayesian Model-Averaged Meta-Analysis (BMA) | Visualizing the Results | Adjusting for Publication Bias with Robust Bayesian Meta-Analysis | Footnotes | References
Last update: 2026-05-07
Started: 2026-05-07
Informed Bayesian Model-Averaged Meta-Analysis with Binary Outcomes
Binomial-Normal Bayesian Model-Averaged Meta-Analysis | References
Last update: 2026-05-07
Started: 2026-05-07
Introduction to RoBMA
Last update: 2026-05-07
Started: 2026-05-07
Location-Scale Meta-Analysis
Random-Effects Model | Adding a Scale Predictor | Different Variables in Location and Scale | Scale Predictor Prior Distributions | Other Inference Helpers | References
Last update: 2026-05-07
Started: 2026-05-07
Multilevel Meta-Analysis
Multilevel Random-Effects Model | Heterogeneity: $\tau$ and $\rho$ | Other Inference Helpers | References
Last update: 2026-05-07
Started: 2026-05-07
Multilevel Robust Bayesian Meta-Analysis
When to Use Multilevel RoBMA | Loading the Data | Prior Distributions | Fitting the Multilevel Model | Interpreting the Results | Components Summary | Model-Averaged Estimates | Model Types Summary | Visualizing the Weight Function | Comparison with Single-Level RoBMA | References
Last update: 2026-05-07
Started: 2026-05-07
Multilevel Robust Bayesian Model-Averaged Meta-Regression
Rescaling Prior Distributions for Non-Standardized Effect Sizes | Interpreting the Results | Visual Fit Assessment | References
Last update: 2026-05-07
Started: 2026-05-07
Prior Distributions
Specifying Prior Distributions | Default Prior Distributions | Basic example | Effect-size measures and their scales | Standardized effect-size inputs | Non-standardized inputs | Meta-regression | Per-moderator overrides | Informed Empirical Prior Distributions | Custom Prior Distributions | Prior Distributions and Bayesian Model Averaging | Publication-Bias Prior Distributions | General Considerations and Reporting | References
Last update: 2026-05-07
Started: 2026-05-07
Publication-Bias Adjustment
Default Bias-Adjustment Prior Distributions | Default Fits | PET | PEESE | Weight Function Selection Model | Asymmetric Sampling Funnels | Flexible Bias Prior Distributions | PET without truncation | PEESE without truncation | Selection-model Weight Prior Distributions | Other Inference Helpers | References
Last update: 2026-05-07
Started: 2026-05-07
Robust Bayesian Meta-Analysis
Dataset | Default RoBMA Ensemble | Preset Ensembles | Custom Bias Ensembles | Other Inference Helpers | References
Last update: 2026-05-07
Started: 2026-05-07
Robust Bayesian Model-Averaged Meta-Regression
Data | Frequentist Meta-Regression | Bayesian Meta-Regression Specification | Continuous vs. Categorical Moderators and Prior Distributions | Prior Distributions | Bayesian Model-Averaged Meta-Regression | Publication-Bias-Adjusted Model-Averaged Meta-Regression | References
Last update: 2026-05-07
Started: 2026-05-07
Tutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis
Set-up | Lui (2015) | Data manipulation | Effect size transformations | Re-analysis with random effect meta-analysis | PET-PEESE | Selection models | Robust Bayesian meta-analysis | Specifying Different Prior Distributions | References
Last update: 2026-05-07
Started: 2026-05-07
Zplot Publication-Bias Diagnostics
Getting Started | Applied Examples | Example 1: Ease-of-Retrieval Effect in the Few/Many Paradigm | Example 2: Social Comparison and Behavior Change | Example 3: ChatGPT and Learning Performance | Example 4: Framing Effects from Many Labs 2 | Conclusions | References
Last update: 2026-05-07
Started: 2026-05-07
