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prepost

0.3.0Package record

Non-Parametric Bounds and Gibbs Sampler for Assessing Priming and Post-Treatment Bias

0packages depend
2.1Kdownloads / year
52.6%test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 2.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.3.0
READMEYes · 203 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes · pkgdown
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%
Vignettes (1)

Downloads

2.1K
CRAN downloads in the past year
Rank #22,218 · ~6/day · ~173/mo
Daily download trend is not available in this view yet.
21330 days
60090 days
2.1K1 year
Compare downloads with other packages →
Also on53 r2u

Repository

2Stars
0Forks
0Open issues
0Open PRs
0Releases
23Commits
1Commit identities
23 commits · Last activity 2025-07-03
Responsiveness
not measured

Stars over time

2025-06-18 · 22026-07-07 · 2
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

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)

Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing prepost adds 16 packages (9 with compiled code, 3.7 MB of source tarballs). Heaviest: vctrs 1.0 MB, rlang 766 KB, cli 629 KB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 0.3.0 (2025)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.0Latest
    2025-07-07 · current release
  • R
    R 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

Cite this package

Run in R for the authors' preferred citation:

citation("prepost")
Blackwell, M., Brown, J., Hill, S., Imai, K., & Yamamoto, T. (2025). prepost: Non-Parametric Bounds and Gibbs Sampler for Assessing Priming and Post-Treatment Bias (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.prepost

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for prepost version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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