SuperLearner2.0-29 package

Super Learner 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

SampleSplitSuperLearner

Super Learner Prediction Function

SL.bartMachine

Wrapper for bartMachine learner

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

listWrappers

list all wrapper functions in SuperLearner

plot.CV.SuperLearner

Graphical display of the V-fold CV risk estimates

predict.SL.bartMachine

bartMachine prediction

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

summary.CV.SuperLearner

Summary Function for Cross-Validated Super Learner

SuperLearner.control

Control parameters for the SuperLearner

SuperLearner.CV.control

Control parameters for the cross validation steps in SuperLearner

SuperLearner

Super Learner Prediction Function

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

Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.