Package: fairmetrics
Title: Fairness Evaluation Metrics with Confidence Intervals
Version: 1.0.3
Authors@R: 
    c(
    person("Jianhui", "Gao", email = "jianhui.gao@mail.utoronto.ca", role = c("aut"),comment = c(ORCID = "0000-0003-0915-1473")),
    person("Benjamin", "Smith", email = "benyamin.smith@mail.utoronto.ca", role = c("aut","cre"), comment = c(ORCID = "0009-0007-2206-0177")),
    person("Benson", "Chou", email = "benson.chou@mail.utoronto.ca", role = c("aut"), comment = c(ORCID = "0009-0007-0265-033X")),
    person("Jessica", "Gronsbell", email = "j.gronsbell@utoronto.ca", role = c("aut"), comment = c(ORCID = "0000-0002-5360-5869"))
    )
Description: 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>.
Imports: stats
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: dplyr, magrittr, corrplot, randomForest, pROC,
        SpecsVerification, knitr, rmarkdown, testthat, kableExtra,
        naniar
Config/testthat/edition: 3
Depends: R (>= 3.5.0)
LazyData: true
URL: https://jianhuig.github.io/fairmetrics/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-06-12 16:57:42 UTC; ben29
Author: Jianhui Gao [aut] (ORCID: <https://orcid.org/0000-0003-0915-1473>),
  Benjamin Smith [aut, cre] (ORCID:
    <https://orcid.org/0009-0007-2206-0177>),
  Benson Chou [aut] (ORCID: <https://orcid.org/0009-0007-0265-033X>),
  Jessica Gronsbell [aut] (ORCID:
    <https://orcid.org/0000-0002-5360-5869>)
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2025-06-12 17:20:02 UTC
