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

A collection of functions allowing to derive the posterior distribution of the model parameters in random-effects meta-analysis or meta-regression, 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>, or Roever C and Friede T (2022) <doi:10.1016/j.cmpb.2022.107303>.

Version:3.5
Depends:forestplot (≥ 2.0.0),metafor (≥ 2.0-0),mvtnorm (≥ 1.1-1),numDeriv (≥ 2016.8-1.1)
Suggests:compute.es,knitr,rmarkdown,R.rsp
Published:2025-08-29
DOI:10.32614/CRAN.package.bayesmeta
Author:Christian RoeverORCID iD [aut, cre], Tim FriedeORCID iD [ctb]
Maintainer:Christian Roever <christian.roever at med.uni-goettingen.de>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://gitlab.gwdg.de/croever/bayesmeta
NeedsCompilation:no
Citation:bayesmeta citation info
In views:Bayesian,MetaAnalysis
CRAN checks:bayesmeta results

Documentation:

Reference manual:bayesmeta.html ,bayesmeta.pdf
Vignettes:bayesmeta introduction (source,R code)
Bayesian random-effects meta-analysis using the bayesmeta R package (source)
Using the bayesmeta R package for Bayesian random-effects meta-regression (source)

Downloads:

Package source: bayesmeta_3.5.tar.gz
Windows binaries: r-devel:bayesmeta_3.5.zip, r-release:bayesmeta_3.5.zip, r-oldrel:bayesmeta_3.5.zip
macOS binaries: r-release (arm64):bayesmeta_3.5.tgz, r-oldrel (arm64):bayesmeta_3.5.tgz, r-release (x86_64):bayesmeta_3.5.tgz, r-oldrel (x86_64):bayesmeta_3.5.tgz
Old sources: bayesmeta archive

Reverse dependencies:

Reverse depends:ra4bayesmeta
Reverse imports:WData
Reverse suggests:metadat

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bayesmetato link to this page.


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