moore                   Moore's Law Data
pa_calibration          Calibration of Predicted Event Probabilities at
                        One Time Point
pa_case_cohort_weights
                        Case-cohort sampling weights
pa_evaluate_two_phase   Evaluate Survival Model Metrics for Two-Phase
                        Sampling Designs
pa_fit_and_eval         Performance Metrics for Survival Analysis
                        Models
pa_metric_names         Canonical metric names
pa_nested_case_control_weights
                        Nested case-control (NCC) sampling weights
pa_nlm                  Prediction Accuracy for Continuous Outcomes
pa_plot_pred            Quick Diagnostic Plot for Survival Model
                        Predicted Probabilities
pa_plot_summary         Arrange multiple prediction plots with letter
                        tags
pa_predict_cif          Predict Subject-Specific Cumulative Incidence
                        Function (CIF)
pa_predict_coxph        Prediction Accuracy Measures for Cox
                        Proportional Hazards Model
pa_predict_survreg      Prediction Accuracy Measures for Parametric
                        Survival Regression Models
pa_sample_design        Summarize multiple two-phase (case-cohort)
                        models into a wide table
pa_sim_cox_weibull      Simulate Cox survival data with optional
                        interaction terms and targeted censoring
pa_simulate_fine_gray   Simulate data from a two-cause Fine-Gray model
pa_summarize            Summarize multiple survival models into a wide
                        comparison table
pa_summarize_cr         Summarize multiple competing-risks models into
                        a wide comparison table
pa_survival_eval        Compute Survival Model Evaluation Metrics
pa_survival_eval_cr     Evaluate Survival Prediction Performance with
                        Competing Risks
