Bayesian Meta-Analysis with Publications Bias and P-Hacking R package publipha version 0.1.2 CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) 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>. Software Depends: methods, R (>= 3.6.0), 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 (>= 2.21.8), StanHeaders (>= 2.21.0-7), RcppParallel Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, metafor, spelling, metadat Jonas Moss <jonas.gjertsen@gmail.com> Comprehensive R Archive Network (CRAN) Jonas Moss [aut, cre] (ORCID: <https://orcid.org/0000-0002-6876-6964>), Trustees of Columbia University [cph] GPL-3 2023-04-04 application/tgz https://CRAN.R-project.org/package=publipha doi:10.32614/CRAN.package.publipha en-US