Man pages for survivalSL
Super Learner for Survival Prediction from Censored Data

dataDIVAT2A Sample from the DIVAT Data Bank.
dataDIVAT3A Sample from the DIVAT Data Bank.
dataOFSEPA Simulated Sample from the OFSEP Cohort.
LIB_AFTgammaLibrary of the Super Learner for an Accelerated Failure Time...
LIB_AFTggammaLibrary of the Super Learner for an Accelerated Failure Time...
LIB_AFTllogisLibrary of the Super Learner for an Accelerated Failure Time...
LIB_AFTweibullLibrary of the Super Learner for an Accelerated Failure Time...
LIB_COXaicLibrary of the Super Learner for a Cox Model with Selected...
LIB_COXallLibrary of the Super Learner for Cox Regression
LIB_COXenLibrary of the Super Learner for Elastic Net Cox Regression
LIB_COXlassoLibrary of the Super Learner for Lasso Cox Regression
LIB_COXridgeLibrary of the Super Learner for Ridge Cox Regression
LIB_PHexponentialLibrary of the Super Learner for a Proportional Hazards (PH)...
LIB_PHgompertzLibrary of the Super Learner for an Proportional Hazards (PH)...
LIB_PHsplineLibrary of the Super Learner for an Survival Regression using...
LIB_PLANNLibrary of the Super Learner for Survival Neural Network...
LIB_RSFLibrary of the Super Learner for Survival Random Survival...
metricsMetrics to Evaluate the Prognostic Capacities
plot.libslCalibration Plot
plot.sltimeCalibration Plot for Super Learner
predict.libslPrediction from an Flexible Parametric Model
predict.sltimePrediction from a Super Learner for Censored Outcomes
print.libslS3 Method for Printing an 'libsl' Object
print.sltimeS3 Method for Printing an 'sltime' Object
summary.libslS3 method for Summarizing a Learner
summary.sltimeS3 method for Summarizing a Super Learner
survivalSLSuper Learner for Censored Outcomes
tuneCOXenTune Elastic Net Cox Regression
tuneCOXlassoTune Lasso Cox Regression
tuneCOXridgeTune Ridge Cox Regression
tunePHsplineTune a Survival Regression using the Royston/Parmar Spline...
tunePLANNTune a Survival Neural Network Based on the PLANN Method
tuneRSFTune a Survival Random Forest
survivalSL documentation built on July 29, 2026, 5:08 p.m.