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SuperLearner (version 2.0-19)

Super Learner Prediction

Description

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

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Version

Install

install.packages('SuperLearner')

Monthly Downloads

7,860

Version

2.0-19

License

GPL-3

Issues

16

Pull Requests

4

Stars

286

Forks

76

Maintainer

Eric Polley

Last Published

February 4th, 2016

Functions in SuperLearner (2.0-19)

write.method.template

Method to estimate the coefficients for the super learner
trimLogit

truncated-probabilities logit transformation
listWrappers

list all wrapper functions in SuperLearner
summary.CV.SuperLearner

Summary Function for Cross-Validated Super Learner
SuperLearner.CV.control

Control parameters for the cross validation steps in SuperLearner
SampleSplitSuperLearner

Super Learner Prediction Function
CV.SuperLearner

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

Super Learner Prediction Function
recombineSL

Recombine a SuperLearner fit using a new metalearning method
predict.SuperLearner

Predict method for SuperLearner object
write.screen.template

screening algorithms for SuperLearner
plot.CV.SuperLearner

Graphical display of the V-fold CV risk estimates
write.SL.template

Wrapper functions for prediction algorithms in SuperLearner
SuperLearnerNews

Show the NEWS file for the SuperLearner package
recombineCVSL

Recombine a CV.SuperLearner fit using a new metalearning method
SuperLearner.control

Control parameters for the SuperLearner
CVFolds

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