RoBMA-package

RoBMA_package

RoBMA.package

RoBMA: Bayesian model-averaged meta-analysis with adjustments for publication
bias and ability to specify informed prior distributions and draw inference with
inclusion Bayes factors.

package

A framework for estimating ensembles of meta-analytic, meta-regression, and
multilevel models (assuming either presence or absence of the effect, heterogeneity,
publication bias, and moderators). The RoBMA framework uses Bayesian model-averaging to
combine the competing meta-analytic models into a model ensemble, weights
the posterior parameter distributions based on posterior model probabilities
and uses Bayes factors to test for the presence or absence of the
individual components (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 define a wide range of prior distributions for the effect size, heterogeneity,
publication bias (including selection models and PET-PEESE), and moderator components.
The package provides convenient functions for summary, visualizations, and fit diagnostics.

Franti<c5><a1>ek Barto<c5><a1>

RoBMA

Robust Bayesian Meta-Analyses

František Bartoš

Maximilian Maier

Eric-Jan Wagenmakers

Joris Goosen

Matthew Denwood

Martyn Plummer

RoBMA-package function

See bartos2021no;textualRoBMA,
maier2020robust;textualRoBMA, and
bartos2020adjusting;textualRoBMA for details regarding the RoBMA
methodology.
More details regarding customization of the model ensembles are provided in the
<a href="/link/Reproducing%20BMA?package=RoBMA&version=3.5.0" data-mini-rdoc="RoBMA::Reproducing BMA">Reproducing BMA</a>,
<a href="/link/BMA%20in%20Medicine?package=RoBMA&version=3.5.0" data-mini-rdoc="RoBMA::BMA in Medicine">BMA in Medicine</a>, and
<a href="/link/Fitting%20Custom%20Meta-Analytic%20Ensembles?package=RoBMA&version=3.5.0" data-mini-rdoc="RoBMA::Fitting Custom Meta-Analytic Ensembles">Fitting Custom Meta-Analytic Ensembles</a>
vignettes. Please, use the "Issues" section in the GitHub repository to ask any
further questions.

User guide

František Bartoš <a href="/link/f.bartos96%40gmail.com?package=RoBMA&version=3.5.0" data-mini-rdoc="RoBMA::f.bartos96@gmail.com">f.bartos96@gmail.com</a>

Author

RoBMA: Robust Bayesian meta-analysis — RoBMA-package

See bartos2021no;textualRoBMA,
maier2020robust;textualRoBMA, and
bartos2020adjusting;textualRoBMA for details regarding the RoBMA
methodology.
More details regarding customization of the model ensembles are provided in the
<a href='../doc/ReproducingBMA.html'>Reproducing BMA</a>,
<a href='../doc/MedicineBMA.html'>BMA in Medicine</a>, and
<a href='../doc/CustomEnsembles.html'>Fitting Custom Meta-Analytic Ensembles</a>
vignettes. Please, use the "Issues" section in the GitHub repository to ask any
further questions.

František Bartoš <a href='mailto:f.bartos96@gmail.com'>f.bartos96@gmail.com</a>

RoBMA-package: RoBMA: Robust Bayesian meta-analysis

Description

Arguments

User guide

Author

References

See Also