Package: propensity
Title: A Toolkit for Calculating and Working with Propensity Scores
Version: 0.1.0.9000
Authors@R: 
    person("Malcolm", "Barrett", , "malcolmbarrett@gmail.com", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0003-0299-5825"))
Description: 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.
License: MIT + file LICENSE
URL: https://r-causal.github.io/propensity/,
        https://github.com/r-causal/propensity
BugReports: https://github.com/r-causal/propensity/issues
Depends: R (>= 4.2.0)
Imports: cli, lifecycle, rlang, stats, tidyselect, vctrs (>= 0.6.5)
Suggests: broom, dplyr, ggplot2, knitr, mgcv, nnet, parsnip, probably,
        PSweight, rmarkdown, spelling, testthat (>= 3.0.0), tibble,
        tidyr, WeightIt, withr
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Repository: https://r-causal.r-universe.dev
Date/Publication: 2026-05-06 01:03:52 UTC
RemoteUrl: https://github.com/r-causal/propensity
RemoteRef: HEAD
RemoteSha: 1bd5e02f2c2833909aa2ec9f73a71fd945c010a5
NeedsCompilation: no
Packaged: 2026-06-05 10:39:36 UTC; root
Author: Malcolm Barrett [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-0299-5825>)
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>