rwetools: Estimating Propensity Scores (PS), PS-Based Weights, and Effects
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>.
| Version: |
0.1.2 |
| Imports: |
stats, utils, parallel, survival, survey |
| Suggests: |
openxlsx, ggplot2, MatchIt, testthat (≥ 3.0.0) |
| Published: |
2026-05-28 |
| DOI: |
10.32614/CRAN.package.rwetools (may not be active yet) |
| Author: |
Hanseul Cho [aut, cre],
Georg Hahn [aut],
Janinne Ortega-Montiel [aut],
Julie Paik [aut],
Elisabetta Patorno [aut] |
| Maintainer: |
Hanseul Cho <hanseul0618 at gmail.com> |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/hanseul0618/rwetools |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
NEWS |
| CRAN checks: |
rwetools results |
Documentation:
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