prepost: Non-Parametric Bounds and Gibbs Sampler for Assessing Primingand Post-Treatment Bias
A set of tools to implement the non-parametric bounds and Bayesian methods for assessing post-treatment bias developed in Blackwell, Brown, Hill, Imai, and Yamamoto (2025) <doi:10.1017/pan.2025.3>.
| Version: | 0.3.0 |
| Depends: | R (≥ 2.10) |
| Imports: | gtools,BayesLogit,lpSolve,progress,Rglpk |
| Suggests: | testthat (≥ 3.0.0),devtools,knitr,rmarkdown,lmtest,sandwich,dplyr,ggplot2 |
| Published: | 2025-07-07 |
| DOI: | 10.32614/CRAN.package.prepost |
| Author: | Matthew Blackwell [aut, cre], Jacob Brown [aut], Sophie Hill [aut], Kosuke Imai [aut], Teppei Yamamoto [aut] |
| Maintainer: | Matthew Blackwell <mblackwell at gmail.com> |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/mattblackwell/prepost,https://mattblackwell.github.io/prepost/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | prepost results |
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