R: Fairness Evaluation Metrics with Confidence Intervals for Binary Protected Attributes

# Fairness Evaluation Metrics with Confidence Intervals for Binary Protected Attributes

## Documentation for package ‘fairmetrics’ version 1.0.8

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

eval_acc_parity | Examine Accuracy Parity of a Model
eval_bs_parity | Examine Brier Score Parity of a Model
eval_cond_acc_equality | Examine Conditional Use Accuracy Equality of a Model
eval_eq_odds | Examine Equalized Odds of a Predictive Model
eval_eq_opp | Evaluate Equal Opportunity Compliance of a Predictive Model
eval_neg_class_bal | Examine Balance for Negative Class of a Model
eval_neg_pred_parity | Examine Negative Predictive Parity of a Model
eval_pos_class_bal | Examine Balance for the Positive Class of a Model
eval_pos_pred_parity | Examine Positive Predictive Parity of a Model
eval_pred_equality | Examine Predictive Equality of a Model
eval_stats_parity | Examine Statistical Parity of a Model
eval_treatment_equality | Examine Treatment Equality of a Model
get_fairness_metrics | Compute Fairness Metrics for Binary Classification
mimic | Clinical data from the MIMIC-II database for a case study on indwelling arterial catheters
mimic_preprocessed | Preprocessed Clinical Data from the MIMIC-II Database