mlr3fairness: Fairness Auditing and Debiasing for 'mlr3'

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.

Version:	0.3.2
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), patchwork, rpart, ranger, mlr3viz, linprog, rmarkdown, knitr, posterdown, kableExtra, fairml, iml
Published:	2023-05-04
Author:	Florian Pfisterer [cre, aut], Wei Siyi [aut], Michel Lang [aut]
Maintainer:	Florian Pfisterer <pfistererf at googlemail.com>
BugReports:	https://github.com/mlr-org/mlr3fairness/issues
License:	LGPL-3
URL:	https://mlr3fairness.mlr-org.com, https://github.com/mlr-org/mlr3fairness
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	mlr3fairness results

Documentation:

Reference manual:	mlr3fairness.pdf
Vignettes:	Debiasing Methods Fairness Metrics Reports Fairness Visualizations

Downloads:

Package source:	mlr3fairness_0.3.2.tar.gz
Windows binaries:	r-devel: mlr3fairness_0.3.2.zip, r-release: mlr3fairness_0.3.2.zip, r-oldrel: mlr3fairness_0.3.2.zip
macOS binaries:	r-release (arm64): mlr3fairness_0.3.2.tgz, r-oldrel (arm64): mlr3fairness_0.3.2.tgz, r-release (x86_64): mlr3fairness_0.3.2.tgz, r-oldrel (x86_64): mlr3fairness_0.3.2.tgz
Old sources:	mlr3fairness archive

Reverse dependencies:

Reverse suggests:

mlr3summary

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlr3fairness to link to this page.