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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 |
| 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 |
Documentation:
Downloads:
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.
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