SuperLearner

Function to get V-fold cross-validated risk estimate for super learner

Generate list of row numbers for each fold in the cross-validation

Wrapper for bartMachine learner

SL wrapper for biglasso

cforest party

extraTrees SuperLearner wrapper

Wrapper for glm

Elastic net regression, including lasso and ridge

SL wrapper for KernelKNN

Wrapper for Kernlab's SVM algorithm

SL wrapper for MASS:lda

Wrapper for lm

SL wrapper for MASS:qda

SL wrapper for ranger

Wrapper for speedglm

Wrapper for speedlm

XGBoost SuperLearner wrapper

Super Learner Prediction Function

Super Learner Prediction Function

Control parameters for the cross validation steps in SuperLearner

Control parameters for the SuperLearner

Show the NEWS file for the SuperLearner package

Factory for learner wrappers

Factory for XGBoost SL wrappers

list all wrapper functions in SuperLearner

Graphical display of the V-fold CV risk estimates

bartMachine prediction

Prediction wrapper for SL.biglasso

extraTrees prediction on new data

Prediction for SL.glm

Prediction for an SL.glmnet object

Prediction for SL.kernelKnn

Prediction for SL.ksvm

Prediction wrapper for SL.lda

Prediction for SL.lm

Prediction wrapper for SL.qda

Prediction wrapper for ranger random forests

Prediction for SL.speedglm

Prediction for SL.speedlm

XGBoost prediction on new data

Predict method for SuperLearner object

Recombine a CV.SuperLearner fit using a new metalearning method

Recombine a SuperLearner fit using a new metalearning method

Summary Function for Cross-Validated Super Learner

truncated-probabilities logit transformation

Wrapper functions for prediction algorithms in SuperLearner

Method to estimate the coefficients for the super learner

screening algorithms for SuperLearner