SuperSurv               Super Learner for conditional survival
                        functions
coef.SuperSurv          Extract SuperSurv ensemble coefficients
estimate_marginal_rmst
                        Estimate an Adjusted Marginal RMST Contrast
eval_brier              IPCW Brier Score and Integrated Brier Score
                        (IBS)
eval_cindex             Calculate Concordance Index (Harrell's or
                        Uno's)
eval_summary            Evaluate SuperSurv predictions on test data
eval_timeROC            Time-Dependent AUC and Integrated AUC
eval_times              Access SuperSurv prediction evaluation times
event_weights           Access SuperSurv ensemble weights
explain_kernel          Explain Predictions with Global SHAP (Kernel
                        SHAP)
explain_survex          Create a Time-Dependent Survex Explainer
learner_names           Access SuperSurv learner names
list_wrappers           List Available Wrappers and Screeners in
                        SuperSurv
metabric                METABRIC Breast Cancer Dataset
plot_beeswarm           Beeswarm Summary Plot for SuperSurv SHAP
plot_benchmark          Plot Longitudinal Benchmark Metrics
plot_calibration        Plot Survival Calibration Curve
plot_dependence         Plot SHAP Dependence for SuperSurv
plot_global_importance
                        Plot Global Feature Importance for SuperSurv
plot_marginal_rmst_curve
                        Plot Adjusted Marginal RMST Contrast Over Time
plot_patient_waterfall
                        Waterfall Plot for an Individual Patient
plot_predict            Plot Predicted Survival Curves
plot_rmst_vs_obs        Plot Predicted RMST vs. Observed Survival Times
plot_survival_heatmap   Survival Probability Heatmap
predict.SuperSurv       Predict method for SuperSurv fits
print.SuperSurv         Print a SuperSurv fit
screen.all              Keep All Variables Screener
screen.elasticnet       Elastic Net Screening Algorithm
screen.glmnet           GLMNET (Lasso) Screening
screen.marg             Marginal Cox Regression Screening
screen.rfsrc            Random Survival Forest Screening Algorithm
screen.var              High Variance Screening Algorithm
                        (Unsupervised)
selected_variables      Access variables selected by SuperSurv
                        screeners
summary.SuperSurv       Summarize a SuperSurv fit
surv.aorsf              Wrapper for AORSF (Oblique Random Survival
                        Forest)
surv.bart               Wrapper for BART (Bayesian Additive Regression
                        Trees)
surv.coxboost           Wrapper function for Component-Wise Boosting
                        (CoxBoost)
surv.coxph              Wrapper for standard Cox Proportional Hazards
surv.exponential        Parametric Survival Prediction Wrapper
                        (Exponential)
surv.gam                Wrapper for Generalized Additive Cox Regression
                        (GAM)
surv.gbm                Wrapper function for Gradient Boosting (GBM)
                        prediction algorithm
surv.glmnet             Wrapper function for Penalized Cox Regression
                        (GLMNET)
surv.km                 Kaplan-Meier Prediction Algorithm
surv.loglogistic        Parametric Survival Prediction Wrapper
                        (Log-Logistic)
surv.lognormal          Parametric Survival Prediction Wrapper
                        (Log-Normal)
surv.parametric         Universal Parametric Survival Wrapper
surv.ranger             Wrapper function for Ranger Random Survival
                        Forest
surv.rfsrc              Wrapper function for Random Survival Forests
                        (RFSRC)
surv.ridge              Wrapper for Ridge Regression (Penalized Cox)
surv.rpart              Wrapper for Survival Regression Trees (rpart)
surv.svm                Wrapper for Survival Support Vector Machine
                        (survivalsvm)
surv.weibull            Parametric Survival Prediction Wrapper
                        (Weibull)
surv.xgboost            Wrapper for XGBoost (Robust CV-Tuned + Safe
                        Prediction)
training_variables      Access SuperSurv training variable names
