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:	compute.es, knitr, rmarkdown, R.rsp
Published:	2022-02-21
Author:	Christian Roever [aut, cre], Tim Friede [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.pdf
Vignettes:	bayesmeta introduction Bayesian random-effects meta-analysis using the bayesmeta R package

Downloads:

Package source:	bayesmeta_3.0.tar.gz
Windows binaries:	r-devel: bayesmeta_3.0.zip, r-release: bayesmeta_3.0.zip, r-oldrel: bayesmeta_3.0.zip
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

Linking:

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