bayesmeta: Bayesian Random-Effects Meta-Analysis and Meta-Regression

A collection of functions allowing to derive the posterior distribution of the two parameters in a random-effects meta-analysis, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, posterior predictive p-values, etc.; For more details, see also Roever C (2020) <doi:10.18637/jss.v093.i06>.

Version: 3.0
Depends: forestplot (≥ 2.0.0), metafor (≥ 2.0-0), mvtnorm (≥ 1.1-1), numDeriv (≥ 2016.8-1.1)
Suggests:, knitr, rmarkdown, R.rsp
Published: 2022-02-21
Author: Christian Roever ORCID iD [aut, cre], Tim Friede ORCID iD [ctb]
Maintainer: Christian Roever <christian.roever at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: bayesmeta citation info
In views: Bayesian, MetaAnalysis
CRAN checks: bayesmeta results


Reference manual: bayesmeta.pdf
Vignettes: bayesmeta introduction
Bayesian random-effects meta-analysis using the bayesmeta R package


Package source: bayesmeta_3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bayesmeta_3.0.tgz, r-oldrel (arm64): bayesmeta_3.0.tgz, r-release (x86_64): bayesmeta_3.0.tgz, r-oldrel (x86_64): bayesmeta_3.0.tgz
Old sources: bayesmeta archive

Reverse dependencies:

Reverse depends: ra4bayesmeta
Reverse suggests: mrbayes


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