DESCRIPTION

Package: mlr3fairness
Type: Package
Title: Fairness Auditing and Debiasing for 'mlr3'
Version: 0.3.2
Authors@R:
    c(
      person(given = "Florian",
             family = "Pfisterer",
             role = c("cre", "aut"),
             email = "pfistererf@googlemail.com",
             comment = c(ORCID = "0000-0001-8867-762X")),
      person(given = "Wei",
               family = "Siyi",
               role = "aut",
               email = "weisiyi2@gmail.com"),
      person(given = "Michel",
             family = "Lang",
             role = "aut",
             email = "michellang@gmail.com",
             comment = c(ORCID = "0000-0001-9754-0393"))
    )
Description:
    Integrates fairness auditing and bias mitigation methods for the 'mlr3' ecosystem.
    This includes fairness metrics, reporting tools, visualizations and bias mitigation techniques such as
    "Reweighing" described in 'Kamiran, Calders' (2012) <doi:10.1007/s10115-011-0463-8>  and
    "Equalized Odds" described in 'Hardt et al.' (2016) <https://papers.nips.cc/paper/2016/file/9d2682367c3935defcb1f9e247a97c0d-Paper.pdf>.
    Integration with 'mlr3' allows for auditing of ML models as well as convenient joint tuning of
    machine learning algorithms and debiasing methods.
URL: https://mlr3fairness.mlr-org.com, https://github.com/mlr-org/mlr3fairness
BugReports: https://github.com/mlr-org/mlr3fairness/issues
License: LGPL-3
Encoding: UTF-8
LazyData: true
Depends:
    R (>= 3.4.0)
Imports:
    checkmate,
    R6 (>= 2.4.1),
    data.table (>= 1.13.6),
    paradox,
    mlr3 (>= 0.13.0),
    mlr3measures,
    mlr3misc,
    mlr3pipelines,
    mlr3learners,
    rlang,
    ggplot2
Suggests:
    testthat (>= 3.1.0),
    CVXR,
    patchwork,
    rpart,
    ranger,
    mlr3viz,
    linprog,
    rmarkdown,
    knitr,
    posterdown,
    kableExtra,
    fairml,
    iml
RoxygenNote: 7.3.1
Config/testthat/edition: 3
Config/testthat/parallel: false
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr