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rwetools  

Estimating Propensity Scores (PS), PS-Based Weights, and Effects
View on CRAN: Click here


Download and install rwetools package within the R console
Install from CRAN:
install.packages("rwetools")

Install from Github:
library("remotes")
install_github("cran/rwetools")

Install by package version:
library("remotes")
install_version("rwetools", "0.1.2")



Attach the package and use:
library("rwetools")
Maintained by
Hanseul Cho
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-28
Latest Update: 2026-05-28
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>.
How to cite:
Hanseul Cho (2026). rwetools: Estimating Propensity Scores (PS), PS-Based Weights, and Effects. R package version 0.1.2, https://cran.r-project.org/web/packages/rwetools. Accessed 26 Jun. 2026.
Previous versions and publish date:
0.1.2 (2026-05-28 15:30)
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Complete documentation for rwetools
Functions, R codes and Examples using the rwetools R package
Full rwetools package functions and examples
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