| dataDIVAT2 | A Sample from the DIVAT Data Bank. | 
| dataDIVAT3 | A Sample from the DIVAT Data Bank. | 
| dataOFSEP | A Simulated Sample from the OFSEP Cohort. | 
| LIB_AFTgamma | Library of the Super Learner for an Accelerated Failure Time (AFT) Model with a Gamma Distribution | 
| LIB_AFTggamma | Library of the Super Learner for an Accelerated Failure Time (AFT) Model with a Generalized Gamma Distribution | 
| LIB_AFTllogis | Library of the Super Learner for an Accelerated Failure Time (AFT) Model with a Log Logistic Distribution | 
| LIB_AFTweibull | Library of the Super Learner for an Accelerated Failure Time (AFT) Model with a Weibull Distribution | 
| LIB_COXaic | Library of the Super Learner for a Cox Model with Selected Covariates | 
| LIB_COXall | Library of the Super Learner for Cox Regression | 
| LIB_COXen | Library of the Super Learner for Elastic Net Cox Regression | 
| LIB_COXlasso | Library of the Super Learner for Lasso Cox Regression | 
| LIB_COXridge | Library of the Super Learner for Ridge Cox Regression | 
| LIB_PHexponential | Library of the Super Learner for a Proportional Hazards (PH) Model with an Exponential Distribution | 
| LIB_PHgompertz | Library of the Super Learner for an Proportional Hazards (PH) Model with a Gompertz Distribution | 
| LIB_PHspline | Library of the Super Learner for an Survival Regression using the Royston/Parmar Spline Model | 
| LIB_PLANN | Library of the Super Learner for Survival Neural Network Based on the PLANN Method | 
| LIB_RSF | Library of the Super Learner for Survival Random Survival Forest | 
| metrics | Metrics to Evaluate the Prognostic Capacities | 
| plot.libsl | Calibration Plot | 
| plot.sltime | Calibration Plot for Super Learner | 
| predict.libsl | Prediction from an Flexible Parametric Model | 
| predict.sltime | Prediction from a Super Learner for Censored Outcomes | 
| print.libsl | S3 Method for Printing an 'libsl' Object | 
| print.sltime | S3 Method for Printing an 'sltime' Object | 
| summary.libsl | Summaries of a Learner | 
| summary.sltime | Summaries of a Super Learner | 
| survivalSL | Super Learner for Censored Outcomes | 
| tuneCOXen | Tune Elastic Net Cox Regression | 
| tuneCOXlasso | Tune Lasso Cox Regression | 
| tuneCOXridge | Tune Ridge Cox Regression | 
| tunePHspline | Tune a Survival Regression using the Royston/Parmar Spline Model | 
| tunePLANN | Tune a Survival Neural Network Based on the PLANN Method | 
| tuneRSF | Tune a Survival Random Forest |