bayesmeta: Bayesian Random-Effects Meta-Analysis

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: 2.6
Depends: forestplot (≥ 1.6), metafor (≥ 2.0-0), numDeriv (≥ 2016.8-1.1)
Suggests: compute.es, knitr, rmarkdown, R.rsp
Published: 2020-12-15
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

Downloads:

Reference manual: bayesmeta.pdf
Vignettes: bayesmeta introduction
Bayesian random-effects meta-analysis using the bayesmeta R package
Package source: bayesmeta_2.6.tar.gz
Windows binaries: r-devel: bayesmeta_2.6.zip, r-release: bayesmeta_2.6.zip, r-oldrel: bayesmeta_2.6.zip
macOS binaries: r-release (arm64): bayesmeta_2.6.tgz, r-release (x86_64): bayesmeta_2.6.tgz, r-oldrel: bayesmeta_2.6.tgz
Old sources: bayesmeta archive

Reverse dependencies:

Reverse depends: ra4bayesmeta
Reverse suggests: mrbayes

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