icarm_audit             Generate a JSON audit trail
icarm_calibrate         Probability calibration diagnostics
icarm_compare           Compare multiple icarm_models
icarm_equalized_odds_curve
                        Equalized odds curves across thresholds
icarm_equity_summary    Equity summary from a fairness report
icarm_explain           Generate global model explanations
icarm_explain_local     Local explanation for individual observations
icarm_fairness          Group-level fairness audit
icarm_financial         Synthetic Financial Loan Default Dataset
icarm_fit               Fit an ICARM model on any tabular data
icarm_medical           Synthetic Medical Readmission Dataset
icarm_metrics           Compute performance metrics for any task
icarm_plot_calibration
                        Plot calibration curve
icarm_plot_comparison   Plot multi-model comparison
icarm_plot_confusion    Plot confusion matrix
icarm_plot_fairness     Plot group-level fairness metric
icarm_plot_importance   Plot feature importance
icarm_plot_roc_groups   Plot per-group ROC curves
icarm_plot_thresholds   Plot threshold performance curves
icarm_racism_survey     Synthetic Racism and Civic Participation Survey
icarm_scorecard         Generate a full accountability scorecard
icarm_split             Reproducible train/test split
icarm_thresholds        Threshold sweep for binary classification
predict.icarm_model     Predict from an icarm_model
print.icarm_model       Print an icarm_model
summary.icarm_model     Summary of an icarm_model
