DESCRIPTION

Package: FairnessTutorial
Title: A tutorial on fairness of machine learning models in healthcare
Version: 1.0.0
Authors@R: 
    c(
    person("Jianhui", "Gao", email = "jianhui.gao@mail.utoronto.ca", role = c("aut", "cre")),
    person("Benson", "Chou", email = "benson.chou@mail.utoronto.ca", role = c("aut")),
    person("Jessica", "Gronsbell", email = "j.gronsbell@utoronto.ca", role = c("aut"))
    )
Description: Functions to evaluate various fairness metrics along with a confidence
    interval. The package also provides a tutorial using real-world data to demonstrate
    how to evaluate fairness of machine learning models in healthcare. The tutorial is
    available at <https://jianhuig.github.io/FairnessTutorial/>.
Imports:
  dplyr,
  magrittr
License: use_mit_license()
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Suggests: 
    knitr,
    rmarkdown,
    testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: 
    R (>= 2.10)
LazyData: true
URL: https://jianhuig.github.io/FairnessTutorial/
VignetteBuilder: knitr