| aft.gamma | Library of the Super Learner for an Accelerated Failure Time (AFT) Model with a Gamma Distribution |
| aft.ggamma | Library of the Super Learner for an Accelerated Failure Time (AFT) Model with a Generalized Gamma Distribution |
| aft.llogis | Library of the Super Learner for an Accelerated Failure Time (AFT) Model with a Log Logistic Distribution |
| aft.weibull | Library of the Super Learner for an Accelerated Failure Time (AFT) Model with a Weibull Distribution |
| auc | Area Under ROC Curve from Sensitivities and Specificities. |
| cox.aic | Library of the Super Learner for a Cox Model with Selected Covariates |
| cox.all | Library of the Super Learner for Cox Regression |
| cox.en | Library of the Super Learner for Elastic Net Cox Regression |
| cox.lasso | Library of the Super Learner for Lasso Cox Regression |
| cox.ridge | Library of the Super Learner for Ridge Cox Regression |
| dataDIVAT2 | A Sample from the DIVAT Data Bank. |
| dataDIVAT3 | A Sample from the DIVAT Data Bank. |
| dataOFSEP | A Simulated Sample from the OFSEP Cohort. |
| differentiation | Numerical Differentiation with Finite Differences. |
| lines.rocrisca | Add Lines to a ROC Plot |
| metric | Metrics to Evaluate the Prognostic Capacities |
| nn.time | Library of the Super Learner for Survival Neural Network |
| ph.exponential | Library of the Super Learner for a Proportional Hazards (PH) Model with an Exponential Distribution |
| ph.gompertz | Library of the Super Learner for an Proportional Hazards (PH) Model with a Gompertz Distribution |
| plot.cox | Calibration Plot for a Cox-like Model |
| plot.flexsurv | Calibration Plot for a Parametric Model |
| plot.nn.time | Calibration Plot for a Survival Neural Network |
| plot.rf.time | Calibration Plot for a Survival Random Forest |
| plot.rocrisca | Plot Method for 'rocrisca' Objects |
| plot.sl.time | Calibration Plot for Super Learner |
| predict.cox | Prediction from a Penalized Cox Regression |
| predict.flexsurv | Prediction from an Flexible Parametric Model |
| predict.nn.time | Prediction from a Survival Neural Network |
| predict.rf.time | Prediction from a Survival Random Survival Forest |
| predict.sl.time | Prediction from a Super Learner for Censored Outcomes |
| print.cox | S3 Method for Printing an 'cox' Object |
| print.flexsurv | S3 Method for Printing an 'flexsurv' Object |
| print.nn.time | S3 Method for Printing an 'nn.time' Object |
| print.rf.time | S3 Method for Printing an 'rf.time' Object |
| print.sl.time | S3 Method for Printing an 'sl.time' Object |
| rf.time | Library of the Super Learner for Survival Random Survival Forest |
| roc.time | Time-Dependent ROC Curves With Right Censored Data. |
| sl.time | Super Learner for Censored Outcomes |
| summary.cox | Summaries of a Cox-like Model |
| summary.flexsurv | Summaries of a Parametric Survival Model |
| summary.nn.time | Summaries of a Survival Neural Network |
| summary.rf.time | Summaries of Survival Random Forest |
| summary.sl.time | Summaries of a Super Learner |
| tune.cox.aic | Tune a Cox Model with a Forward Selection Based on the AIC |
| tune.cox.en | Tune Elastic Net Cox Regression |
| tune.cox.lasso | Tune Lasso Cox Regression |
| tune.cox.ridge | Tune Ridge Cox Regression |
| tune.nn.time | Tune a 1-Layer Survival Neural Network |
| tune.rf.time | Tune a Survival Random Forest |