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