RoBMA-package: RoBMA: Robust Bayesian Meta-Analysis
In RoBMA: Robust Bayesian Meta-Analyses
RoBMA-package R Documentation
RoBMA: Robust Bayesian Meta-Analysis
Description
RoBMA provides Bayesian meta-analysis, meta-regression, multilevel
meta-analysis, model averaging, and publication-bias adjustment. The main
user-facing fitters are RoBMA, BMA,
brma, brma.glmm, bselmodel,
bPET, and bPEESE.
User guide
See \insertCitebartos2021no;textualRoBMA,
\insertCitemaier2020robust;textualRoBMA,
\insertCitebartos2020adjusting;textualRoBMA, and
\insertCitebartos2025robust;textualRoBMA for the RoBMA methodology.
Use vignette(package = "RoBMA") to list installed vignettes.
Author(s)
Frantisek Bartos f.bartos96@gmail.com
References
\insertAllCited
See Also
Useful links:
RoBMA documentation built on May 7, 2026, 5:08 p.m.
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| RoBMA-package | R Documentation |
RoBMA: Robust Bayesian Meta-Analysis
Description
RoBMA provides Bayesian meta-analysis, meta-regression, multilevel
meta-analysis, model averaging, and publication-bias adjustment. The main
user-facing fitters are RoBMA, BMA,
brma, brma.glmm, bselmodel,
bPET, and bPEESE.
User guide
See \insertCitebartos2021no;textualRoBMA,
\insertCitemaier2020robust;textualRoBMA,
\insertCitebartos2020adjusting;textualRoBMA, and
\insertCitebartos2025robust;textualRoBMA for the RoBMA methodology.
Use vignette(package = "RoBMA") to list installed vignettes.
Author(s)
Frantisek Bartos f.bartos96@gmail.com
References
\insertAllCitedSee Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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