R Observatory: Metrics for mlr3fairness version 0.4.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mlr3fairness

0.4.0

Fairness Auditing and Debiasing for 'mlr3'

2packages depend

36.7Kdownloads / year

92.6%test coverage

13/13checks pass

Overview

About

Maintained by Florian PfistererFirst published 2022-05-124 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("mlr3fairness", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mlr-org/mlr3fairness")

Development version from mlr-org/mlr3fairness. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-mlr3fairness

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-mlr3fairness

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-mlr3fairness

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 7.4 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.43

92.6%

Coverage · measured lines

100%

Documentation · exports

11

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-17
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

WARNING2026-05-10
12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 1,337 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 46%
References docs: 31%

Downloads

36.7K

CRAN downloads in the past year

Rank #2,597 · ~101/day · ~3.1K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.2K30 days

6.9K90 days

36.7K1 year

Compare downloads with other packages →

Also on124 r2u27 autocran

Repository

GitHub ↗ mlr-org/mlr3fairness

14Stars

2Forks

9Open issues

1Open PRs

1Releases

351Commits

8Contributors

machine-learningfairnessmlr3rr-package

License LGPL-3.0 · 351 commits · Last activity 2026-04-24 · -6.7% stars, 30d

Stars over time

2024-06-26 · 142026-08-13 · 14

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/mlr-org/mlr3fairness on 2026-08-23.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (3)

lintrEditorConfigRStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

26 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.4.0

Imports (11)

checkmate data.table ggplot2 mlr3 (>= 0.23.0.9000)mlr3learners mlr3measures mlr3misc mlr3pipelines paradox R6 rlang

LinkingTo (0)

none

Suggests (16)

cccp CVXR pagedown fairml future iml kableExtra knitr linprog lgr mlr3viz patchwork ranger rmarkdownrparttestthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

mlr3summary mlr3verse

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Florian Pfisterer

Maintainer, Author

Authors (3)

Florian Pfisterer

Maintainer, Author

Michel Lang

Author

Wei Siyi

Author

Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.4.0Latest
2025-06-24 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.3.2
2023-05-05 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.3.1
2022-08-16 · diff ↗
0.3.0
2022-05-12
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-05-12
Total releases: 4 / 4 yrs
License: LGPL-3 OSI
Minimum R: ≥ 3.4.0
Bundled data: 226 KB / 3 files
Download size: 540 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlr3fairness")

Format

Pfisterer, F., Lang, M., & Siyi, W. (2025). mlr3fairness: Fairness Auditing and Debiasing for 'mlr3' (Version 0.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.mlr3fairness

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlr3fairness version 0.4.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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