CRAN/E | bayesmeta

bayesmeta

Bayesian Random-Effects Meta-Analysis and Meta-Regression

Installation

About

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.

Citation bayesmeta citation info
gitlab.gwdg.de/croever/bayesmeta

Key Metrics

Version 3.4
Published 2024-02-15 63 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks bayesmeta results

Downloads

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Maintainer

Maintainer

Christian Roever

christian.roever@med.uni-goettingen.de

Authors

Christian Roever

aut / cre

Tim Friede

ctb

Material

Reference manual
Package source

In Views

Bayesian
MetaAnalysis

Vignettes

bayesmeta introduction
Bayesian random-effects meta-analysis using the bayesmeta R package
Using the bayesmeta R package for Bayesian random-effects meta-regression

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bayesmeta archive

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

Reverse Depends

ra4bayesmeta

Reverse Suggests

mrbayes