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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: 3.4
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: 2024-02-15
DOI: 10.32614/CRAN.package.bayesmeta
Author: Christian Roever ORCID iD [aut, cre], Tim Friede ORCID 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 [issues need fixing before 2025-09-03]

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_3.4.tar.gz
Windows binaries: r-devel: bayesmeta_3.4.zip, r-release: bayesmeta_3.4.zip, r-oldrel: bayesmeta_3.4.zip
macOS binaries: r-release (arm64): bayesmeta_3.4.tgz, r-oldrel (arm64): bayesmeta_3.4.tgz, r-release (x86_64): bayesmeta_3.4.tgz, r-oldrel (x86_64): bayesmeta_3.4.tgz
Old sources: bayesmeta archive

Reverse dependencies:

Reverse depends: ra4bayesmeta
Reverse suggests: metadat

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bayesmeta to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.