The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 ORCID iD [aut, cre], Quentin F. Gronau [ctb], Eric-Jan Wagenmakers [ctb], Indrajeet Patil ORCID iD [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:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.