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 |