Package: rwetools
Title: Estimating Propensity Scores (PS), PS-Based Weights, and Effects
Version: 0.1.2
Authors@R: 
  c(
  person("Hanseul", "Cho", email="hanseul0618@gmail.com", role = c("aut", "cre")),
  person("Georg", "Hahn", email="ghahn@bwh.harvard.edu", role="aut"),
  person("Janinne", "Ortega-Montiel", email="jomontiel@bwh.harvard.edu", role="aut"),
  person("Julie", "Paik", email="jmpaik@mednet.ucla.edu", role="aut"),
  person("Elisabetta", "Patorno", email="epatorno@mednet.ucla.edu", role="aut")
  )
Description: Toolbox that provides a streamlined, end-to-end workflow for propensity
    score analysis in generating real-world evidence from real-world data.
    The package covers the full analytic pipeline - from estimating propensity scores
    via logistic regression, to calculating weights or creating a matched cohort, 
    to generating publication-ready Table 1s with standardized mean
    differences and weighted balance diagnostics. It also estimates incidence rates,
    hazard ratios, risk ratios, and risk differences with support for stratified and
    direct-standardized analyses. All core functions produce formatted 'Excel' reports
    with embedded 'README' documentation, making results immediately shareable with
    collaborators and stakeholders. Methods are based on Rosenbaum and Rubin (1983)
    <doi:10.1093/biomet/70.1.41>, Austin (2011) <doi:10.1080/00273171.2011.568786>,
    and Desai et al. (2017) <doi:10.1097/EDE.0000000000000595>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.3
Imports: stats, utils, parallel, survival, survey
Suggests: openxlsx, ggplot2, MatchIt, testthat (>= 3.0.0)
URL: https://github.com/hanseul0618/rwetools
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-05-22 02:23:19 UTC; hanse
Author: Hanseul Cho [aut, cre],
  Georg Hahn [aut],
  Janinne Ortega-Montiel [aut],
  Julie Paik [aut],
  Elisabetta Patorno [aut]
Maintainer: Hanseul Cho <hanseul0618@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-28 13:30:02 UTC
