cox_calibration_stats   Calibration stats of a fitted Cox PH model
linear_beta             Auxiliary function for simulatedata functions
predict.survensemble    Predicts event probability for a fitted
                        survensemble
print.survcompare       Print survcompare object
print.survensemble      Prints trained survensemble object
print.survensemble_cv   Prints survensemble_cv object
simulate_crossterms     Simulated sample with survival outcomes with
                        non-linear and cross-term dependencies
simulate_linear         Simulated sample with survival outcomes with
                        linear dependencies
simulate_nonlinear      Simulated sample with survival outcomes with
                        non-linear dependencies
srf_survival_prob_for_time
                        Internal function to compute survival
                        probability by time from a fitted survival
                        random forest
summary.survcompare     Summary of survcompare results
summary.survensemble    Prints summary of a trained survensemble object
summary.survensemble_cv
                        Prints a summary of survensemble_cv object
surv_brierscore         Calculates time-dependent Brier Score
surv_validate           Computes performance statistics for a survival
                        data given the predicted event probabilities
survcompare             Cross-validates and compares Cox Proportionate
                        Hazards and Survival Random Forest models
survcox_cv              Cross-validates Cox or CoxLasso model
survcox_predict         Computes event probabilities from a trained cox
                        model
survcox_train           Trains CoxPH using survival package, or trains
                        CoxLasso (cv.glmnet, lambda.min), and then
                        re-trains survival:coxph on non-zero predictors
survcoxlasso_train      Trains CoxLasso, using
                        cv.glmnet(s="lambda.min")
survensemble_cv         Cross-validates predictive performance for
                        Ensemble 1
survensemble_train      Fits an ensemble of Cox-PH and Survival Random
                        Forest (SRF) with internal CV to tune SRF
                        hyperparameters.
survival_prob_km        Calculates survival probability estimated by
                        Kaplan-Meier survival curve Uses polynomial
                        extrapolation in survival function space, using
                        poly(n=3)
survsrf_cv              Cross-validates SRF model
survsrf_predict         Predicts event probability for a fitted SRF
                        model
survsrf_train           Fits randomForestSRC, with tuning by mtry,
                        nodedepth, and nodesize. Underlying model is by
                        Ishwaran et al(2008)
                        https://www.randomforestsrc.org/articles/survival.html
                        Ishwaran H, Kogalur UB, Blackstone EH, Lauer
                        MS. Random survival forests. The Annals of
                        Applied Statistics. 2008;2:841–60.
survsrf_tune            Internal function to tune SRF model, in nested
                        CV loop
