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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) <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

Documentation:

Reference manual: publipha.pdf

Downloads:

Package source: publipha_0.1.2.tar.gz
Windows binaries: r-devel: publipha_0.1.2.zip, r-release: publipha_0.1.2.zip, r-oldrel: publipha_0.1.2.zip
macOS binaries: r-release (arm64): publipha_0.1.2.tgz, r-oldrel (arm64): publipha_0.1.2.tgz, r-release (x86_64): publipha_0.1.2.tgz, r-oldrel (x86_64): publipha_0.1.2.tgz
Old sources: publipha archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=publipha to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.