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) <doi:10.48550/arXiv.1911.12445>.
| Version: | 0.1.2 |
| 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 |
| Published: | 2023-04-04 |
| DOI: | 10.32614/CRAN.package.publipha |
| 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 |