A collection of functions for computing fairness metrics for machine learning and statistical models, including confidence intervals for each metric. The package supports the evaluation of group-level fairness criterion commonly used in fairness research, particularly in healthcare. It is based on the overview of fairness in machine learning written by Gao et al (2024) <doi:10.48550/arXiv.2406.09307>.
Version: 1.0.3 Depends: R (≥ 3.5.0) Imports: stats Suggests: dplyr, magrittr, corrplot, randomForest, pROC, SpecsVerification, knitr, rmarkdown, testthat, kableExtra, naniar Published: 2025-06-12 DOI: 10.32614/CRAN.package.fairmetrics Author: Jianhui Gao [aut], Benjamin Smith [aut, cre], Benson Chou [aut], Jessica Gronsbell [aut] Maintainer: Benjamin Smith <benyamin.smith at mail.utoronto.ca> License: MIT + file LICENSE URL: https://jianhuig.github.io/fairmetrics/ NeedsCompilation: no CRAN checks: fairmetrics results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fairmetrics to link to this page.
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