Super Learner for Survival Prediction from Censored Data

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Documentation for package ‘survivalSL’ version 0.94

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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_RSF Library of the Super Learner for Survival Random Survival Forest
LIB_SNN Library of the Super Learner for Survival Neural Network
metrics Metrics to Evaluate the Prognostic Capacities
plot.libsl Calibration Plot for a Cox-like Model
plot.rocrisca Plot Method for 'rocrisca' Objects
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
roc Time-Dependent ROC Curves With Right Censored Data
summary.libsl Summaries of a Learner
summary.sltime Summaries of a Super Learner
survivalSL Super Learner for Censored Outcomes
tuneCOXaic Tune a Cox Model with a Forward Selection Based on the AIC
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
tuneRSF Tune a Survival Random Forest
tuneSNN Tune a 1-Layer Survival Neural Network