"_PACKAGE" |
Cross-validates and compares Cox Proportionate Hazards and Survival Random Forest models |
linear_beta |
Auxiliary function for simulatedata functions |
ml_hyperparams_srf |
Internal function for getting grid of hyperparameters for random or grid search of size = max_grid_size |
print.survcompare |
Print survcompare object |
print.survensemble_cv |
Prints trained survensemble 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 |
summary.survcompare |
Summary of survcompare results |
summary.survensemble_cv |
Prints summary of a trained survensemble_cv object |
survcompare |
Cross-validates and compares Cox Proportionate Hazards and Survival Random Forest models |
survcompare2 |
Compares two cross-validated models using surv____cv functions of this package. |
survcoxlasso_train |
Trains CoxLasso, using cv.glmnet(s="lambda.min") |
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 |
survival_prob_km |
Calculates survival probability estimated by Kaplan-Meier survival curve Uses polynomial extrapolation in survival function space, using poly(n=3) |
survsrfens_cv |
Cross-validates predictive performance for SRF Ensemble |
survsrfens_predict |
Predicts event probability by a trained sequential ensemble of Survival Random Forest and CoxPH |
survsrfens_train |
Fits an ensemble of Cox-PH and Survival Random Forest (SRF) with internal CV to tune SRF hyperparameters. |
survsrfstack_cv |
Cross-validates stacked ensemble of the CoxPH and Survival Random Forest models |
survsrfstack_predict |
Predicts event probability by a trained stacked ensemble of Survival Random Forest and CoxPH |
survsrfstack_train |
Trains the stacked ensemble of the CoxPH and Survival Random Forest |
survsrf_cv |
Cross-validates Survival Random Forest |
survsrf_predict |
Predicts event probability by a trained Survival Random Forest |
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<e2><80><93>60. |
survsrf_tune |
A repeated 3-fold CV over a hyperparameters grid |
survsrf_tune_single |
Internal function for survsrf_tune(), performs 1 CV |
surv_brierscore |
Calculates time-dependent Brier Score |
surv_validate |
Computes performance statistics for a survival data given the predicted event probabilities |