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mlr3fairness  

Fairness Auditing and Debiasing for 'mlr3'
View on CRAN: Click here


Download and install mlr3fairness package within the R console
Install from CRAN:
install.packages("mlr3fairness")

Install from Github:
library("remotes")
install_github("cran/mlr3fairness")

Install by package version:
library("remotes")
install_version("mlr3fairness", "0.4.0")



Attach the package and use:
library("mlr3fairness")
Maintained by
Florian Pfisterer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-12
Latest Update: 2025-06-24
Description:
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) and "Equalized Odds" described in 'Hardt et al.' (2016) . Integration with 'mlr3' allows for auditing of ML models as well as convenient joint tuning of machine learning algorithms and debiasing methods.
How to cite:
Florian Pfisterer (2022). mlr3fairness: Fairness Auditing and Debiasing for 'mlr3'. R package version 0.4.0, https://cran.r-project.org/web/packages/mlr3fairness. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.3.0 (2022-05-12 21:30), 0.3.1 (2022-08-16 15:50), 0.3.2 (2023-05-05 01:00)
Other packages that cited mlr3fairness R package
View mlr3fairness citation profile
Other R packages that mlr3fairness depends, imports, suggests or enhances
Complete documentation for mlr3fairness
Functions, R codes and Examples using the mlr3fairness R package
Some associated functions: MeasureFairness . MeasureFairnessComposite . MeasureFairnessConstraint . MeasureSubgroup . adult . compas . compute_metrics . fairness_accuracy_tradeoff . fairness_compare_metrics . fairness_prediction_density . fairness_tensor . groupdiff_tau . groupwise_metrics . mlr3fairness-package . mlr_learners_classif.fairfgrrm . mlr_learners_classif.fairzlrm . mlr_learners_fairness . mlr_learners_regr.fairfrrm . mlr_learners_regr.fairnclm . mlr_learners_regr.fairzlm . mlr_measures_fairness . mlr_measures_positive_probability . mlr_pipeops_equalized_odds . mlr_pipeops_explicit_pta . mlr_pipeops_reweighing . report_datasheet . report_fairness . report_modelcard . task_summary . 
Some associated R codes: MeasureFairness.R . MeasureFairnessComposite.R . MeasureFairnessConstraint.R . MeasurePositiveProbability.R . MeasureSubgroup.R . PipeOpEOd.R . PipeOpExplicitPta.R . PipeOpReweighing.R . aaa.R . adult.R . assertions.R . bibentries.R . compare_metrics.R . compas.R . compute_metrics.R . fairness_accuracy_tradeoff.R . fairness_prediction_density.R . fairness_tensor.R . helpers.R . learner_fairml_classif_fairfgrrm.R . learner_fairml_classif_fairzlrm.R . learner_fairml_regr_fairfrrm.R . learner_fairml_regr_fairnclm.R . learner_fairml_regr_fairzlm.R . measure_operations.R . mlr_learners_fairness.R . mlr_measures_fairness.R . reports.R . zzz.R .  Full mlr3fairness package functions and examples
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