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fairmodels  

Flexible Tool for Bias Detection, Visualization, and Mitigation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fairmodels", "1.2.2")



Attach the package and use:
library("fairmodels")
Maintained by
Jakub Wiśniewski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-20
Latest Update: 2022-08-23
Description:
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 (Wisniewski, Biecek (2021)) .
How to cite:
Jakub Wiśniewski (2020). fairmodels: Flexible Tool for Bias Detection, Visualization, and Mitigation. R package version 1.2.2, https://cran.r-project.org/web/packages/fairmodels. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:37), 0.1.1 (2020-08-20 10:50), 0.2.2 (2020-09-21 18:20), 0.2.4 (2020-12-12 20:30), 1.0.1 (2021-04-14 07:20), 1.1.0 (2021-05-31 16:40), 1.2.0 (2021-10-08 13:20), 1.2.1 (2022-08-23 21:50)
Other packages that cited fairmodels R package
View fairmodels citation profile
Other R packages that fairmodels depends, imports, suggests or enhances
Complete documentation for fairmodels
Functions, R codes and Examples using the fairmodels R package
Some associated functions: adult . adult_test . all_cutoffs . calculate_group_fairness_metrics . ceteris_paribus_cutoff . choose_metric . compas . confusion_matrx . disparate_impact_remover . expand_fairness_object . fairness_check . fairness_check_regression . fairness_heatmap . fairness_pca . fairness_radar . german . group_matrices . group_metric . group_model_performance . metric_scores . performance_and_fairness . plot_all_cutoffs . plot_ceteris_paribus_cutoff . plot_chosen_metric . plot_density . plot_fairmodels . plot_fairness_heatmap . plot_fairness_object . plot_fairness_pca . plot_fairness_radar . plot_fairness_regression_object . plot_group_metric . plot_metric_scores . plot_performance_and_fairness . plot_stacked_barplot . plot_stacked_metrics . pre_process_data . print_all_cutoffs . print_ceteris_paribus_cutoff . print_chosen_metric . print_fairness_heatmap . print_fairness_object . print_fairness_pca . print_fairness_radar . print_fairness_regression_object . print_group_metric . print_metric_scores . print_performance_and_fairness . print_stacked_metrics . regression_metrics . resample . reweight . roc_pivot . 
Some associated R codes: all_cutoffs.R . calculate_group_fairness_metrics.R . ceteris_paribus_cutoff.R . choose_metric.R . confusion_matrix.R . data_adult.R . data_adult_test.R . data_compas.R . data_german.R . disparate_impact_remover.R . expand_fairness_object.R . fairness_check.R . fairness_check_regression.R . fairness_heatmap.R . fairness_pca.R . fairness_radar.R . group_matrices.R . group_metric.R . group_model_performance.R . helper_functions.R . metric_scores.R . performance_and_fairness.R . plot_all_cutoffs.R . plot_ceteris_paribus_cutoff.R . plot_chosen_metric.R . plot_density.R . plot_fairmodels.R . plot_fairness_heatmap.R . plot_fairness_object.R . plot_fairness_pca.R . plot_fairness_radar.R . plot_fairness_regression_object.R . plot_group_metric.R . plot_metric_scores.R . plot_performance_and_fairness.R . plot_stacked_metrics.R . pre_process_data.R . print.R . regression_metrics.R . resample.R . reweight.R . roc_pivot.R . stack_metrics.R .  Full fairmodels package functions and examples
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