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.

Version: 2.4
Depends: forestplot (≥ 1.6), metafor (≥ 2.0-0)
Suggests: compute.es, knitr, rmarkdown, R.rsp
Published: 2019-08-06
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, http://ams.med.uni-goettingen.de:3838/bayesmeta/app
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_2.4.tar.gz
Windows binaries: r-devel: bayesmeta_2.4.zip, r-release: bayesmeta_2.4.zip, r-oldrel: bayesmeta_2.4.zip
OS X binaries: r-release: bayesmeta_2.4.tgz, r-oldrel: bayesmeta_2.4.tgz
Old sources: bayesmeta archive

Reverse dependencies:

Reverse suggests: mrbayes

Linking:

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