Package index • clinicalfair

Data Preparation

Functions for preparing fairness data objects.

fairness_data(): Create a fairness evaluation data object

Fairness Metrics

Compute and evaluate group-wise fairness metrics.

fairness_metrics(): Compute fairness metrics across groups
intersectional_fairness(): Compute intersectional fairness metrics

Visualization

Plot calibration curves, ROC curves, and fairness disparities.

plot_calibration(): Plot calibration curves by group
plot_roc(): Plot ROC curves by group
reexports autoplot: Objects exported from other packages

Mitigation

Threshold-based fairness mitigation.

threshold_optimize(): Optimize thresholds for fairness

Reporting

Generate audit reports.

fairness_report(): Generate a fairness summary report

Other

autoplot(<fairness_metrics>): Plot fairness metrics disparity
compas_sim: Simulated COMPAS-like recidivism prediction data
fairness_data(): Create a fairness evaluation data object
fairness_metrics(): Compute fairness metrics across groups
fairness_report(): Generate a fairness summary report
intersectional_fairness(): Compute intersectional fairness metrics
plot_calibration(): Plot calibration curves by group
plot_roc(): Plot ROC curves by group
threshold_optimize(): Optimize thresholds for fairness