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: 2021-07-27 19:51:49 UTC; leonardopv
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: CRAN
Date/Publication: 2021-07-28 11:50:02 UTC
Built: R 4.6.0; ; 2026-04-27 00:25:33 UTC; unix
