# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "rwetools" in publications use:' type: software license: MIT title: 'rwetools: Estimating Propensity Scores (PS), PS-Based Weights, and Effects' version: 0.1.2 doi: 10.32614/CRAN.package.rwetools abstract: 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) , Austin (2011) , and Desai et al. (2017) . authors: - family-names: Cho given-names: Hanseul email: hanseul0618@gmail.com - family-names: Hahn given-names: Georg email: ghahn@bwh.harvard.edu - family-names: Ortega-Montiel given-names: Janinne email: jomontiel@bwh.harvard.edu - family-names: Paik given-names: Julie email: jmpaik@mednet.ucla.edu - family-names: Patorno given-names: Elisabetta email: epatorno@mednet.ucla.edu repository: https://hanseul0618.r-universe.dev repository-code: https://github.com/hanseul0618/rwetools commit: 7c6a8eafd99415d77504464a1afb3a94e747921a url: https://github.com/hanseul0618/rwetools date-released: '2026-05-28' contact: - family-names: Cho given-names: Hanseul email: hanseul0618@gmail.com