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>.
| Version: |
0.1.1 |
| Depends: |
methods, R (≥ 3.5.0), 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 (≥ 2.18.1), StanHeaders (≥ 2.18.0) |
| Suggests: |
testthat (≥ 2.1.0), covr, knitr, rmarkdown, metafor, qtl, spelling |
| Published: |
2020-01-15 |
| 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 |