R: Super Learner Prediction

# Super Learner Prediction

## Documentation for package ‘SuperLearner’ version 2.0-40

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

A C L M P R S T W

## -- A --

All | screening algorithms for SuperLearner

## -- C --

coef.CV.SuperLearner | Function to get V-fold cross-validated risk estimate for super learner
coef.SuperLearner | Super Learner Prediction Function
create.Learner | Factory for learner wrappers
create.SL.xgboost | Factory for XGBoost SL wrappers
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

## -- L --

listWrappers | list all wrapper functions in SuperLearner

## -- M --

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

## -- P --

plot.CV.SuperLearner | Graphical display of the V-fold CV risk estimates
predict.SL.bartMachine | bartMachine prediction
predict.SL.bayesglm | Wrapper functions for prediction algorithms in SuperLearner
predict.SL.biglasso | Prediction wrapper for SL.biglasso
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 | Prediction for SL.glm
predict.SL.glmnet | Prediction for an SL.glmnet object
predict.SL.ipredbagg | Wrapper functions for prediction algorithms in SuperLearner
predict.SL.kernelKnn | Prediction for SL.kernelKnn
predict.SL.knn | Wrapper functions for prediction algorithms in SuperLearner
predict.SL.ksvm | Prediction for SL.ksvm
predict.SL.lda | Prediction wrapper for SL.lda
predict.SL.leekasso | Wrapper functions for prediction algorithms in SuperLearner
predict.SL.lm | Prediction for SL.lm
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.qda | Prediction wrapper for SL.qda
predict.SL.randomForest | Wrapper functions for prediction algorithms in SuperLearner
predict.SL.ranger | Prediction wrapper for ranger random forests
predict.SL.ridge | Wrapper functions for prediction algorithms in SuperLearner
predict.SL.rpart | Wrapper functions for prediction algorithms in SuperLearner
predict.SL.speedglm | Prediction for SL.speedglm
predict.SL.speedlm | Prediction for SL.speedlm
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.SL.xgboost | XGBoost prediction on new data
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

## -- R --

recombineCVSL | Recombine a CV.SuperLearner fit using a new metalearning method
recombineSL | Recombine a SuperLearner fit using a new metalearning method

## -- S --

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.bartMachine | Wrapper for bartMachine learner
SL.bayesglm | Wrapper functions for prediction algorithms in SuperLearner
SL.biglasso | SL wrapper for biglasso
SL.caret | Wrapper functions for prediction algorithms in SuperLearner
SL.caret.rpart | Wrapper functions for prediction algorithms in SuperLearner
SL.cforest | cforest party
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 for glm
SL.glm.interaction | Wrapper functions for prediction algorithms in SuperLearner
SL.glmnet | Elastic net regression, including lasso and ridge
SL.ipredbagg | Wrapper functions for prediction algorithms in SuperLearner
SL.kernelKnn | SL wrapper for KernelKNN
SL.knn | Wrapper functions for prediction algorithms in SuperLearner
SL.ksvm | Wrapper for Kernlab's SVM algorithm
SL.lda | SL wrapper for MASS:lda
SL.leekasso | Wrapper functions for prediction algorithms in SuperLearner
SL.lm | Wrapper for lm
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.qda | SL wrapper for MASS:qda
SL.randomForest | Wrapper functions for prediction algorithms in SuperLearner
SL.ranger | SL wrapper for ranger
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.speedglm | Wrapper for speedglm
SL.speedlm | Wrapper for speedlm
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
SL.xgboost | XGBoost SuperLearner wrapper
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

## -- T --

trimLogit | truncated-probabilities logit transformation

## -- W --

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