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SuperLearner (version 2.0-24)

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

3,279

Version

2.0-24

License

GPL-3

Issues

13

Pull Requests

3

Stars

272

Forks

72

Maintainer

Eric Polley

Last Published

August 11th, 2018

Functions in SuperLearner (2.0-24)

SL.cforest

cforest party
SL.dbarts

Discrete bayesian additive regression tree sampler
SL.speedlm

Wrapper for speedlm
SL.xgboost

XGBoost SuperLearner wrapper
create.SL.xgboost

Factory for XGBoost SL wrappers
listWrappers

list all wrapper functions in SuperLearner
predict.SL.glmnet

Prediction for an SL.glmnet object
predict.SL.kernelKnn

Prediction for SL.kernelKnn
predict.SuperLearner

Predict method for SuperLearner object
recombineCVSL

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

Super Learner Prediction Function
SuperLearner.CV.control

Control parameters for the cross validation steps in SuperLearner
SuperLearnerNews

Show the NEWS file for the SuperLearner package
SL.extraTrees

extraTrees SuperLearner wrapper
SL.glm

Wrapper for glm
SL.lm

Wrapper for lm
SL.qda

SL wrapper for MASS:qda
SuperLearner

Super Learner Prediction Function
SuperLearner.control

Control parameters for the SuperLearner
SL.bartMachine

Wrapper for bartMachine learner
predict.SL.extraTrees

extraTrees prediction on new data
predict.SL.glm

Prediction for SL.glm
SL.biglasso

SL wrapper for biglasso
plot.CV.SuperLearner

Graphical display of the V-fold CV risk estimates
predict.SL.bartMachine

bartMachine prediction
recombineSL

Recombine a SuperLearner fit using a new metalearning method
create.Learner

Factory for learner wrappers
CV.SuperLearner

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

Summary Function for Cross-Validated Super Learner
CVFolds

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

Wrapper for Kernlab's SVM algorithm
SL.lda

SL wrapper for MASS:lda
predict.SL.ksvm

Prediction for SL.ksvm
predict.SL.speedlm

Prediction for SL.speedlm
predict.SL.ranger

Prediction wrapper for ranger random forests
predict.SL.speedglm

Prediction for SL.speedglm
predict.SL.xgboost

XGBoost prediction on new data
write.method.template

Method to estimate the coefficients for the super learner
predict.SL.lda

Prediction wrapper for SL.lda
write.screen.template

screening algorithms for SuperLearner
SL.glmnet

Elastic net regression, including lasso and ridge
SL.kernelKnn

SL wrapper for KernelKNN
SL.ranger

SL wrapper for ranger
predict.SL.biglasso

Prediction wrapper for SL.biglasso
SL.speedglm

Wrapper for speedglm
predict.SL.dbarts

dbarts prediction
predict.SL.lm

Prediction for SL.lm
predict.SL.qda

Prediction wrapper for SL.qda
trimLogit

truncated-probabilities logit transformation
write.SL.template

Wrapper functions for prediction algorithms in SuperLearner