Package: mlr3fairness
Type: Package
Title: Fairness Auditing and Debiasing for 'mlr3'
Version: 0.3.1
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 (>= 3.5.0), mlr3 (>= 0.13.0)
Imports: checkmate, R6 (>= 2.4.1), data.table (>= 1.13.6), paradox,
        mlr3measures, mlr3misc, mlr3pipelines, ggplot2
Suggests: mlr3viz, rmarkdown, knitr, rpart, testthat (>= 3.0.0),
        patchwork, ranger, mlr3learners, linprog, posterdown,
        kableExtra, fairml, iml
RoxygenNote: 7.2.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-16 12:30:50 UTC; flo
Author: Florian Pfisterer [cre, aut] (<https://orcid.org/0000-0001-8867-762X>),
  Wei Siyi [aut],
  Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Florian Pfisterer <pfistererf@googlemail.com>
Repository: CRAN
Date/Publication: 2022-08-16 13:50:02 UTC
