# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "metaBMA" in publications use:' type: software license: GPL-3.0-only title: 'metaBMA: Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis' version: 0.6.9 identifiers: - type: doi value: 10.32614/CRAN.package.metaBMA abstract: 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, ). 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, ). authors: - family-names: Heck given-names: Daniel W. email: daniel.heck@uni-marburg.de orcid: https://orcid.org/0000-0002-6302-9252 preferred-citation: type: manual title: 'metaBMA: Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis' authors: - name: Heck - family-names: W. given-names: D. - name: Gronau - family-names: F. given-names: Q. - family-names: Wagenmakers given-names: '&' - name: E.-J. year: '2019' url: https://CRAN.R-project.org/package=metaBMA repository: https://cran.r-universe.dev repository-code: https://github.com/danheck/metaBMA commit: ca20fc6c3225b0a64d144585a10b609485f703c0 url: https://danheck.github.io/metaBMA/ date-released: '2023-09-12' contact: - family-names: Heck given-names: Daniel W. email: daniel.heck@uni-marburg.de orcid: https://orcid.org/0000-0002-6302-9252