fairmodels: Flexible Tool for Bias Detection, Visualization, and Mitigation

Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented. Package also supports calculating fairness metrics for regression models. Find more details in (Wiśniewski, Biecek (2021)) <doi:10.48550/arXiv.2104.00507>.

Version:	1.2.2
Depends:	R (≥ 3.5)
Imports:	DALEX, ggplot2, scales, stats, patchwork
Suggests:	ranger, gbm, knitr, rmarkdown, covr, testthat, spelling, ggdendro, ggrepel
Published:	2025-11-30
DOI:	10.32614/CRAN.package.fairmodels
Author:	Jakub Wiśniewski [aut, cre], Przemysław Biecek [aut]
Maintainer:	Jakub Wiśniewski <jakwisn at gmail.com>
BugReports:	https://github.com/ModelOriented/fairmodels/issues
License:	GPL-3
URL:	https://fairmodels.drwhy.ai/
NeedsCompilation:	no
Language:	en-US
Citation:	fairmodels citation info
Materials:	README, NEWS
CRAN checks:	fairmodels results

Documentation:

Reference manual:	fairmodels.html , fairmodels.pdf
Vignettes:	Advanced tutorial (source, R code) Basic tutorial (source, R code)

Downloads:

Package source:	fairmodels_1.2.2.tar.gz
Windows binaries:	r-devel: fairmodels_1.2.2.zip, r-release: fairmodels_1.2.2.zip, r-oldrel: fairmodels_1.2.2.zip
macOS binaries:	r-release (arm64): fairmodels_1.2.2.tgz, r-oldrel (arm64): fairmodels_1.2.2.tgz, r-release (x86_64): fairmodels_1.2.2.tgz, r-oldrel (x86_64): fairmodels_1.2.2.tgz
Old sources:	fairmodels archive

Reverse dependencies:

Reverse imports:

arenar, fastml

Linking:

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