RoBMA-package: RoBMA: Robust Bayesian meta-analysis
In RoBMA: Robust Bayesian Meta-Analyses
RoBMA-package R Documentation
RoBMA: Robust Bayesian meta-analysis
Description
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.
User guide
See \insertCitebartos2021no;textualRoBMA,
\insertCitemaier2020robust;textualRoBMA, and
\insertCitebartos2020adjusting;textualRoBMA for details regarding the RoBMA
methodology.
More details regarding customization of the model ensembles are provided in the
Reproducing BMA,
BMA in Medicine, and
Fitting Custom Meta-Analytic Ensembles
vignettes. Please, use the "Issues" section in the GitHub repository to ask any
further questions.
Author(s)
František Bartoš f.bartos96@gmail.com
References
\insertAllCited
See Also
Useful links:
RoBMA documentation built on July 26, 2023, 5:13 p.m.
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| RoBMA-package | R Documentation |
RoBMA: Robust Bayesian meta-analysis
Description
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.
User guide
See \insertCitebartos2021no;textualRoBMA, \insertCitemaier2020robust;textualRoBMA, and \insertCitebartos2020adjusting;textualRoBMA for details regarding the RoBMA methodology.
More details regarding customization of the model ensembles are provided in the Reproducing BMA, BMA in Medicine, and Fitting Custom Meta-Analytic Ensembles vignettes. Please, use the "Issues" section in the GitHub repository to ask any further questions.
Author(s)
František Bartoš 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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