Computes the posterior model probabilities for four metaanalysis models (null model vs. alternative model assuming either fixed or randomeffects, 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 fixedeffect 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 noninformative or informative priors for the mean effect size and the heterogeneity coefficient. Funding for this research was provided by the Berkeley Initiative for Transparency in the Social Sciences, a program of the Center for Effective Global Action (CEGA), with support from the Laura and John Arnold Foundation.
Package details 


Author  Daniel W. Heck [aut, cre], Quentin F. Gronau [aut], EricJan Wagenmakers [aut] 
Maintainer  Daniel W. Heck <[email protected]> 
License  GPL3 
Version  0.3.9 
URL  https://github.com/danheck/metaBMA 
Package repository  View on CRAN 
Installation 
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