Bayesian Meta-Analysis with Publications Bias and P-Hacking

Tools for Bayesian estimation of meta-analysis models that account for publications bias or p-hacking. For publication bias, this package implements a variant of the p-value based selection model of Hedges (1992) with discrete selection probabilities. It also implements the mixture of truncated normals model for p-hacking described in Moss and De Bin (2019) .


Reference manual

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0.1.1 by Jonas Moss, a year ago

Browse source code at

Authors: Jonas Moss [aut, cre] , Trustees of Columbia University [cph]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL-3 license

Imports rstan, rstantools, loo, truncnorm

Depends on methods, Rcpp

Suggests testthat, covr, knitr, rmarkdown, metafor, qtl, spelling

Linking to BH, Rcpp, RcppEigen, rstan, StanHeaders

System requirements: GNU make

See at CRAN