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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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=propensity
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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