metaBMA: Bayesian Model Averaging for Random and Fixed EffectsMeta-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:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=metaBMAto link to this page.