Bayesian Meta-Analysis with Publications Bias and P-Hacking
14 available
Adds named elements to a list when they are not there already.
Make lazy list from arguments.
Get arguments of the calling function.
Variant of do call with that preserves argument names.
Extract Parameters from an mafit Object
Calculate the loo for an ma object.
Meta-analysis Correcting for Publication Bias or p-hacking
Class mafit: Fitted Meta-analysis Model
Marginal Publication Selection Meta-analysis Model
Normalizing Constants for the Publication Selection Meta-Analysis Mode...
p-hacking Meta-analysis Model
Publication Selection Meta-analysis Model
The 'publipha' package.
Selected Normal Effect Size Distribution
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) <doi:10.1214/ss/1177011364> with discrete selection probabilities. It also implements the mixture of truncated normals model for p-hacking described in Moss and De Bin (2019) <arXiv:1911.12445>.