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SuperLearner (version 2.0-26)
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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Install
install.packages('SuperLearner')
Monthly Downloads
4,625
Version
2.0-26
License
GPL-3
Issues
12
Pull Requests
3
Stars
262
Forks
69
Repository
https://github.com/ecpolley/SuperLearner
Maintainer
Eric Polley
Last Published
December 10th, 2019
Functions in SuperLearner (2.0-26)
Search functions
SuperLearner.CV.control
Control parameters for the cross validation steps in
SuperLearner
CVFolds
Generate list of row numbers for each fold in the cross-validation
predict.SL.ksvm
Prediction for SL.ksvm
listWrappers
list all wrapper functions in SuperLearner
plot.CV.SuperLearner
Graphical display of the V-fold CV risk estimates
predict.SL.lda
Prediction wrapper for SL.lda
SuperLearner
Super Learner Prediction Function
create.Learner
Factory for learner wrappers
SL.xgboost
XGBoost SuperLearner wrapper
SL.speedglm
Wrapper for speedglm
SampleSplitSuperLearner
Super Learner Prediction Function
SL.qda
SL wrapper for MASS:qda
SL.ranger
SL wrapper for ranger
write.method.template
Method to estimate the coefficients for the super learner
predict.SL.ranger
Prediction wrapper for ranger random forests
create.SL.xgboost
Factory for XGBoost SL wrappers
predict.SL.bartMachine
bartMachine prediction
SL.lda
SL wrapper for MASS:lda
SL.lm
Wrapper for lm
predict.SL.glm
Prediction for SL.glm
predict.SL.glmnet
Prediction for an SL.glmnet object
predict.SL.extraTrees
extraTrees prediction on new data
predict.SL.kernelKnn
Prediction for SL.kernelKnn
predict.SuperLearner
Predict method for SuperLearner object
write.screen.template
screening algorithms for SuperLearner
SuperLearnerNews
Show the NEWS file for the SuperLearner package
write.SL.template
Wrapper functions for prediction algorithms in SuperLearner
predict.SL.qda
Prediction wrapper for SL.qda
predict.SL.lm
Prediction for SL.lm
trimLogit
truncated-probabilities logit transformation
SuperLearner.control
Control parameters for the SuperLearner
predict.SL.speedglm
Prediction for SL.speedglm
recombineCVSL
Recombine a CV.SuperLearner fit using a new metalearning method
SL.speedlm
Wrapper for speedlm
predict.SL.biglasso
Prediction wrapper for SL.biglasso
recombineSL
Recombine a SuperLearner fit using a new metalearning method
predict.SL.speedlm
Prediction for SL.speedlm
predict.SL.xgboost
XGBoost prediction on new data
summary.CV.SuperLearner
Summary Function for Cross-Validated Super Learner
SL.biglasso
SL wrapper for biglasso
SL.glmnet
Elastic net regression, including lasso and ridge
SL.extraTrees
extraTrees SuperLearner wrapper
SL.glm
Wrapper for glm
SL.bartMachine
Wrapper for bartMachine learner
SL.cforest
cforest party
CV.SuperLearner
Function to get V-fold cross-validated risk estimate for super learner
SL.kernelKnn
SL wrapper for KernelKNN
SL.ksvm
Wrapper for Kernlab's SVM algorithm