Flexible Tool for Bias Detection, Visualization, and Mitigation

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Documentation for package ‘fairmodels’ version 1.2.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

adult	Adult dataset
adult_test	Adult test dataset
all_cutoffs	All cutoffs
calculate_group_fairness_metrics	Calculate fairness metrics in groups
ceteris_paribus_cutoff	Ceteris paribus cutoff
choose_metric	Choose metric
compas	Modified COMPAS dataset
confusion_matrix	Confusion matrix
disparate_impact_remover	Disparate impact remover
expand_fairness_object	Expand Fairness Object
fairness_check	Fairness check
fairness_check_regression	Fairness check regression
fairness_heatmap	Fairness heatmap
fairness_pca	Fairness PCA
fairness_radar	Fairness radar
german	Modified German Credit data dataset
group_matrices	Group confusion matrices
group_metric	Group metric
group_model_performance	Group model performance
metric_scores	Metric scores
performance_and_fairness	Performance and fairness
plot.all_cutoffs	Plot all cutoffs
plot.ceteris_paribus_cutoff	Ceteris paribus cutoff plot
plot.chosen_metric	Plot chosen metric
plot.fairness_heatmap	Plot Heatmap
plot.fairness_object	Plot fairness object
plot.fairness_pca	Plot fairness PCA
plot.fairness_radar	Plot fairness radar
plot.fairness_regression_object	Plot fairness regression object
plot.group_metric	Plot group metric
plot.metric_scores	Plot metric scores
plot.performance_and_fairness	Plot fairness and performance
plot.stacked_metrics	Plot stacked Metrics
plot_density	Plot fairness object
plot_fairmodels	Plot fairmodels
plot_fairmodels.default	Plot fairmodels
plot_fairmodels.explainer	Plot fairmodels
plot_fairmodels.fairness_object	Plot fairmodels
pre_process_data	Pre-process data
print.all_cutoffs	Print all cutoffs
print.ceteris_paribus_cutoff	Print ceteris paribus cutoff
print.chosen_metric	Print chosen metric
print.fairness_heatmap	Print fairness heatmap
print.fairness_object	Print Fairness Object
print.fairness_pca	Print fairness PCA
print.fairness_radar	Print fairness radar
print.fairness_regression_object	Print Fairness Regression Object
print.group_metric	Print group metric
print.metric_scores	Print metric scores data
print.performance_and_fairness	Print performance and fairness
print.stacked_metrics	Print stacked metrics
regression_metrics	Regression metrics
resample	Resample
reweight	Reweight
roc_pivot	Reject Option based Classification pivot
stack_metrics	Stack metrics