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>.">

publipha: Bayesian Meta-Analysis with Publications Bias and P-Hacking (original) (raw)

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 ORCID iD [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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