publipha: 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) <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>.

Version:	0.1.1
Depends:	methods, R (≥ 3.5.0), Rcpp (≥ 0.12.19)
Imports:	rstan (≥ 2.18.1), rstantools (≥ 1.5.1), loo, truncnorm
LinkingTo:	BH (≥ 1.72.0-2), Rcpp (≥ 0.12.19), RcppEigen (≥ 0.3.3.4.0), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests:	testthat (≥ 2.1.0), covr, knitr, rmarkdown, metafor, qtl, spelling
Published:	2020-01-15
Author:	Jonas Moss [aut, cre], Trustees of Columbia University [cph]
Maintainer:	Jonas Moss <jonas.gjertsen at gmail.com>
License:	GPL-3
NeedsCompilation:	yes
SystemRequirements:	GNU make
Language:	en-US
Materials:	README
In views:	MetaAnalysis
CRAN checks:	publipha results

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