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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 |
Reference manual: | metaBMA.pdf |
Vignettes: |
metaBMA: Meta-Analysis with Bayesian Model Averaging |
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 suggests: | ggstatsplot, insight, parameters, RoBMA, statsExpressions |
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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.