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 | 
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