Non-Parametric Bounds and Gibbs Sampler for Assessing Priming and Post-Treatment Bias
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 10
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- Overview HTML
Downloads
Repository
Stars over time
7 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/mattblackwell/prepost on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2025-07-03 · The repository has a site deploy workflow
pkgdown site last built 2025-07-03, before release 0.3.0 (2025-07-07)
Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 0.3.0Latest2025-07-07 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-07-07
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 4.0 KB / 2 files
- Download size
- 72 KB
Cite
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Run in R for the authors' preferred citation:
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