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 |
| 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:
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