Package: predfairness
Type: Package
Title: Discrimination Mitigation for Machine Learning Models
Version: 0.1.0
Date: 2021-07-14
Authors@R: c(person("Thaís", "de Bessa Gontijo de Oliveira", role = c("aut", "cre"), 
                      email = "thais.bgo@gmail.com"),
              person("Leonardo", "Paes Vieira", role = c("aut"),
                    email = "leopvieira9@gmail.com"),
              person("Gustavo", "Rodrigues Lacerda Silva", role = "ctb",
                      email = "gustavo.lacerda@enacom.com.br"),
              person("Barbara", "Bianca Alves Cardoso", role = "ctb",
                      email = "barbaraalvescardoso@gmail.com"),
              person("Douglas", "Alexandre Gomes Vieira", role = "ctb", 
                      email = "douglas.vieira@enacom.com.br"))
Maintainer: Thaís de Bessa Gontijo de Oliveira <thais.bgo@gmail.com>
Description: Based on different statistical definitions of
        discrimination, several methods have been proposed to detect
        and mitigate social inequality in machine learning models. This
        package aims to provide an alternative to fairness treatment in
        predictive models. The ROC method implemented in this package
        is described by Kamiran, Karim and Zhang (2012)
        <https://ieeexplore.ieee.org/document/6413831/>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: caret, stats
NeedsCompilation: no
Packaged: 2026-06-22 10:42:13 UTC; root
Author: Thaís de Bessa Gontijo de Oliveira [aut, cre], Leonardo Paes
        Vieira [aut], Gustavo Rodrigues Lacerda Silva [ctb], Barbara
        Bianca Alves Cardoso [ctb], Douglas Alexandre Gomes Vieira
        [ctb]
Depends: R (>= 3.5.0)
Repository: https://cran.r-universe.dev
Date/Publication: 2021-07-28 10:50:02 UTC
RemoteUrl: https://github.com/cran/predfairness
RemoteRef: HEAD
RemoteSha: 24de7dc1bc09575ddcd7601de5acb5f5d8aed816