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CRAN: Package prepost

prepost: Non-Parametric Bounds and Gibbs Sampler for Assessing Priming and 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 + file LICENSE URL: https://github.com/mattblackwell/prepost, https://mattblackwell.github.io/prepost/ NeedsCompilation: no Materials: README CRAN checks: prepost results Documentation: Downloads: Linking:

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