Package: propensity
Title: A Toolkit for Calculating and Working with Propensity Scores
Version: 0.1.0
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: 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
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-02-24 02:12:58 UTC; malcolmbarrett
Author: Malcolm Barrett [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-0299-5825>)
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-02 21:50:02 UTC
Built: R 4.6.0; ; 2026-04-28 04:42:02 UTC; unix
