propensity: A Toolkit for Calculating and Working with Propensity Scores
Calculates propensity score weights for multiple causal
'estimands' across binary, continuous, and categorical exposures.
Provides methods for handling extreme propensity scores through
trimming, truncation, and calibration. Includes inverse probability
weighted estimators that correctly account for propensity score
estimation uncertainty.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
cli, lifecycle, rlang, stats, tidyselect, vctrs (≥ 0.6.5) |
| Suggests: |
dplyr, ggplot2, knitr, mgcv, nnet, parsnip, probably, PSweight, rmarkdown, spelling, testthat (≥ 3.0.0), tibble, tidyr, WeightIt, withr |
| Published: |
2026-03-02 |
| DOI: |
10.32614/CRAN.package.propensity |
| Author: |
Malcolm Barrett 
[aut, cre, cph] |
| Maintainer: |
Malcolm Barrett <malcolmbarrett at gmail.com> |
| BugReports: |
https://github.com/r-causal/propensity/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://r-causal.github.io/propensity/,
https://github.com/r-causal/propensity |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README |
| CRAN checks: |
propensity results |
Documentation:
Downloads:
Reverse dependencies:
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