Super Learner for Survival Prediction from Censored Data
Library of the Super Learner for an Accelerated Failure Time (AFT) Mod...
Library of the Super Learner for an Accelerated Failure Time (AFT) Mod...
Library of the Super Learner for an Accelerated Failure Time (AFT) Mod...
Library of the Super Learner for an Accelerated Failure Time (AFT) Mod...
Library of the Super Learner for a Cox Model with Selected Covariates
Library of the Super Learner for Cox Regression
Library of the Super Learner for Elastic Net Cox Regression
Library of the Super Learner for Lasso Cox Regression
Library of the Super Learner for Ridge Cox Regression
Library of the Super Learner for a Proportional Hazards (PH) Model wit...
Library of the Super Learner for an Proportional Hazards (PH) Model wi...
Library of the Super Learner for an Survival Regression using the Roys...
Library of the Super Learner for Survival Neural Network Based on the ...
Library of the Super Learner for Survival Random Survival Forest
Metrics to Evaluate the Prognostic Capacities
Calibration Plot
Calibration Plot for Super Learner
Prediction from an Flexible Parametric Model
Prediction from a Super Learner for Censored Outcomes
S3 Method for Printing an 'libsl' Object
S3 Method for Printing an 'sltime' Object
Summaries of a Learner
Summaries of a Super Learner
Super Learner for Censored Outcomes
Tune Elastic Net Cox Regression
Tune Lasso Cox Regression
Tune Ridge Cox Regression
Tune a Survival Regression using the Royston/Parmar Spline Model
Tune a Survival Neural Network Based on the PLANN Method
Tune a Survival Random Forest
Several functions and S3 methods to construct a super learner in the presence of censored times-to-event and to evaluate its prognostic capacities.