| CVFolds | Generate list of row numbers for each fold in the... |
| CV.SuperLearner | computes V-fold cross validation of the Super Learner |
| CV.SuperLearner.hazard | Computes the V-fold cross-validated hazard estimation using... |
| incidence.sample | Generates incidence sample for discrete survival data |
| latex.summary.CV.SuperLearner | latex method for summary.CV.SuperLearner |
| listWrappers | list all wrapper functions in SuperLearner |
| predict.superlearner | Predict method for SuperLearner object |
| print.SuperLearner | print a SuperLearner object |
| screen.template | Template file for creating new screening functions in the... |
| SL.template | Template file for creating new prediction functions to be... |
| summary.CV.SuperLearner | Summary Function for Cross-Validated Super Learner |
| SuperLearner | Super Learner Prediction Function |
| SuperLearner.hazard | Hazard estimation using binary Super Learner |
| SuperLearnerNews | Show the NEWS file |
| SuperLearner-package | Super Learner prediction function and library. |
| trimLogit | truncated-probabilities logit transformation |
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