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
SL.bartMachine          Wrapper for bartMachine learner
SL.biglasso             SL wrapper for biglasso
SL.cforest              cforest party
SL.glm                  Wrapper for glm
SL.glmnet               Elastic net regression, including lasso and
                        ridge
SL.kernelKnn            SL wrapper for KernelKNN
SL.ksvm                 Wrapper for Kernlab's SVM algorithm
SL.lda                  SL wrapper for MASS:lda
SL.lm                   Wrapper for lm
SL.qda                  SL wrapper for MASS:qda
SL.ranger               SL wrapper for ranger
SL.speedglm             Wrapper for speedglm
SL.speedlm              Wrapper for speedlm
SL.xgboost              XGBoost SuperLearner wrapper
SampleSplitSuperLearner
                        Super Learner Prediction Function
SuperLearner            Super Learner Prediction Function
SuperLearner.CV.control
                        Control parameters for the cross validation
                        steps in 'SuperLearner'
SuperLearner.control    Control parameters for the SuperLearner
SuperLearnerNews        Show the NEWS file for the SuperLearner package
create.Learner          Factory for learner wrappers
create.SL.xgboost       Factory for XGBoost SL wrappers
listWrappers            list all wrapper functions in SuperLearner
plot.CV.SuperLearner    Graphical display of the V-fold CV risk
                        estimates
predict.SL.bartMachine
                        bartMachine prediction
predict.SL.biglasso     Prediction wrapper for SL.biglasso
predict.SL.glm          Prediction for SL.glm
predict.SL.glmnet       Prediction for an SL.glmnet object
predict.SL.kernelKnn    Prediction for SL.kernelKnn
predict.SL.ksvm         Prediction for SL.ksvm
predict.SL.lda          Prediction wrapper for SL.lda
predict.SL.lm           Prediction for SL.lm
predict.SL.qda          Prediction wrapper for SL.qda
predict.SL.ranger       Prediction wrapper for ranger random forests
predict.SL.speedglm     Prediction for SL.speedglm
predict.SL.speedlm      Prediction for SL.speedlm
predict.SL.xgboost      XGBoost prediction on new data
predict.SuperLearner    Predict method for SuperLearner object
recombineCVSL           Recombine a CV.SuperLearner fit using a new
                        metalearning method
recombineSL             Recombine a SuperLearner fit using a new
                        metalearning method
summary.CV.SuperLearner
                        Summary Function for Cross-Validated Super
                        Learner
trimLogit               truncated-probabilities logit transformation
write.SL.template       Wrapper functions for prediction algorithms in
                        SuperLearner
write.method.template   Method to estimate the coefficients for the
                        super learner
write.screen.template   screening algorithms for SuperLearner
