| All | screening algorithms for SuperLearner |
| coef.CV.SuperLearner | Function to get V-fold cross-validated risk estimate for super learner |
| coef.SuperLearner | Super Learner Prediction Function |
| CV.SuperLearner | Function to get V-fold cross-validated risk estimate for super learner |
| CVFolds | Generate list of row numbers for each fold in the cross-validation |
| listWrappers | list all wrapper functions in SuperLearner |
| mcSuperLearner | Super Learner Prediction Function |
| method.AUC | Method to estimate the coefficients for the super learner |
| method.CC_LS | Method to estimate the coefficients for the super learner |
| method.CC_nloglik | Method to estimate the coefficients for the super learner |
| method.NNloglik | Method to estimate the coefficients for the super learner |
| method.NNLS | Method to estimate the coefficients for the super learner |
| method.NNLS2 | Method to estimate the coefficients for the super learner |
| method.template | Method to estimate the coefficients for the super learner |
| plot.CV.SuperLearner | Graphical display of the V-fold CV risk estimates |
| predict.SL.bayesglm | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.caret | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.cforest | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.earth | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.gam | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.gbm | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.glm | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.glmnet | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.ipredbagg | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.knn | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.leekasso | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.loess | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.logreg | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.mean | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.nnet | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.nnls | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.polymars | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.randomForest | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.ridge | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.rpart | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.step | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.stepAIC | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.svm | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SL.template | Wrapper functions for prediction algorithms in SuperLearner |
| predict.SuperLearner | Predict method for SuperLearner object |
| print.CV.SuperLearner | Function to get V-fold cross-validated risk estimate for super learner |
| print.summary.CV.SuperLearner | Summary Function for Cross-Validated Super Learner |
| print.SuperLearner | Super Learner Prediction Function |
| recombineCVSL | Recombine a CV.SuperLearner fit using a new metalearning method |
| recombineSL | Recombine a SuperLearner fit using a new metalearning method |
| SampleSplitSuperLearner | Super Learner Prediction Function |
| screen.corP | screening algorithms for SuperLearner |
| screen.corRank | screening algorithms for SuperLearner |
| screen.glmnet | screening algorithms for SuperLearner |
| screen.randomForest | screening algorithms for SuperLearner |
| screen.SIS | screening algorithms for SuperLearner |
| screen.template | screening algorithms for SuperLearner |
| screen.ttest | screening algorithms for SuperLearner |
| SL.bayesglm | Wrapper functions for prediction algorithms in SuperLearner |
| SL.caret | Wrapper functions for prediction algorithms in SuperLearner |
| SL.caret.rpart | Wrapper functions for prediction algorithms in SuperLearner |
| SL.cforest | Wrapper functions for prediction algorithms in SuperLearner |
| SL.earth | Wrapper functions for prediction algorithms in SuperLearner |
| SL.gam | Wrapper functions for prediction algorithms in SuperLearner |
| SL.gbm | Wrapper functions for prediction algorithms in SuperLearner |
| SL.glm | Wrapper functions for prediction algorithms in SuperLearner |
| SL.glm.interaction | Wrapper functions for prediction algorithms in SuperLearner |
| SL.glmnet | Wrapper functions for prediction algorithms in SuperLearner |
| SL.ipredbagg | Wrapper functions for prediction algorithms in SuperLearner |
| SL.knn | Wrapper functions for prediction algorithms in SuperLearner |
| SL.leekasso | Wrapper functions for prediction algorithms in SuperLearner |
| SL.loess | Wrapper functions for prediction algorithms in SuperLearner |
| SL.logreg | Wrapper functions for prediction algorithms in SuperLearner |
| SL.mean | Wrapper functions for prediction algorithms in SuperLearner |
| SL.nnet | Wrapper functions for prediction algorithms in SuperLearner |
| SL.nnls | Wrapper functions for prediction algorithms in SuperLearner |
| SL.polymars | Wrapper functions for prediction algorithms in SuperLearner |
| SL.randomForest | Wrapper functions for prediction algorithms in SuperLearner |
| SL.ridge | Wrapper functions for prediction algorithms in SuperLearner |
| SL.rpart | Wrapper functions for prediction algorithms in SuperLearner |
| SL.rpartPrune | Wrapper functions for prediction algorithms in SuperLearner |
| SL.step | Wrapper functions for prediction algorithms in SuperLearner |
| SL.step.forward | Wrapper functions for prediction algorithms in SuperLearner |
| SL.step.interaction | Wrapper functions for prediction algorithms in SuperLearner |
| SL.stepAIC | Wrapper functions for prediction algorithms in SuperLearner |
| SL.svm | Wrapper functions for prediction algorithms in SuperLearner |
| SL.template | Wrapper functions for prediction algorithms in SuperLearner |
| snowSuperLearner | Super Learner Prediction Function |
| summary.CV.SuperLearner | Summary Function for Cross-Validated Super Learner |
| SuperLearner | Super Learner Prediction Function |
| SuperLearner.control | Control parameters for the SuperLearner |
| SuperLearner.CV.control | Control parameters for the cross validation steps in 'SuperLearner' |
| SuperLearnerDocs | Show the NEWS file for the SuperLearner package |
| SuperLearnerNews | Show the NEWS file for the SuperLearner package |
| trimLogit | truncated-probabilities logit transformation |
| write.method.template | Method to estimate the coefficients for the super learner |
| write.screen.template | screening algorithms for SuperLearner |
| write.SL.template | Wrapper functions for prediction algorithms in SuperLearner |