metaBMA: Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Computes the posterior model probabilities for standard meta-analysis models (null model vs. alternative model assuming either fixed- or random-effects, respectively). These posterior probabilities are used to estimate the overall mean effect size as the weighted average of the mean effect size estimates of the random- and fixed-effect model as proposed by Gronau, Van Erp, Heck, Cesario, Jonas, & Wagenmakers (2017, <doi:10.1080/23743603.2017.1326760>). The user can define a wide range of non-informative or informative priors for the mean effect size and the heterogeneity coefficient. Moreover, using pre-compiled Stan models, meta-analysis with continuous and discrete moderators with Jeffreys-Zellner-Siow (JZS) priors can be fitted and tested. This allows to compute Bayes factors and perform Bayesian model averaging across random- and fixed-effects meta-analysis with and without moderators. For a primer on Bayesian model-averaged meta-analysis, see Gronau, Heck, Berkhout, Haaf, & Wagenmakers (2021, <doi:10.1177/25152459211031256>).

Version:	0.6.9
Depends:	R (≥ 4.0.0), Rcpp (≥ 1.0.0), methods
Imports:	bridgesampling, coda, LaplacesDemon, logspline, mvtnorm, RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), rstantools (≥ 2.3.0)
LinkingTo:	BH (≥ 1.78.0), Rcpp (≥ 1.0.0), RcppEigen (≥ 0.3.3.9.1), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0)
Suggests:	testthat, knitr, rmarkdown, spelling
Published:	2023-09-13
DOI:	10.32614/CRAN.package.metaBMA
Author:	Daniel W. Heck [aut, cre], Quentin F. Gronau [ctb], Eric-Jan Wagenmakers [ctb], Indrajeet Patil [ctb]
Maintainer:	Daniel W. Heck <daniel.heck at uni-marburg.de>
License:	GPL-3
URL:	https://github.com/danheck/metaBMA, https://danheck.github.io/metaBMA/
NeedsCompilation:	yes
SystemRequirements:	GNU make
Language:	en-US
Citation:	metaBMA citation info
Materials:	NEWS
In views:	MetaAnalysis
CRAN checks:	metaBMA results

Documentation:

Reference manual:	metaBMA.pdf
Vignettes:	metaBMA: Meta-Analysis with Bayesian Model Averaging

Downloads:

Package source:	metaBMA_0.6.9.tar.gz
Windows binaries:	r-devel: metaBMA_0.6.9.zip, r-release: metaBMA_0.6.9.zip, r-oldrel: metaBMA_0.6.9.zip
macOS binaries:	r-release (arm64): metaBMA_0.6.9.tgz, r-oldrel (arm64): metaBMA_0.6.9.tgz, r-release (x86_64): metaBMA_0.6.9.tgz, r-oldrel (x86_64): metaBMA_0.6.9.tgz
Old sources:	metaBMA archive

Reverse dependencies:

Reverse suggests:

ggstatsplot, insight, parameters, RoBMA, statsExpressions

Linking:

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