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SuperLearner (version 2.0-29)
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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2.0-29
2.0-28.1
2.0-28
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Install
install.packages('SuperLearner')
Monthly Downloads
3,746
Version
2.0-29
License
GPL-3
Issues
13
Pull Requests
3
Stars
271
Forks
72
Repository
https://github.com/ecpolley/SuperLearner
Maintainer
Eric Polley
Last Published
February 20th, 2024
Functions in SuperLearner (2.0-29)
Search all functions
SL.glm
Wrapper for glm
SL.ksvm
Wrapper for Kernlab's SVM algorithm
SL.kernelKnn
SL wrapper for KernelKNN
SL.glmnet
Elastic net regression, including lasso and ridge
SL.lda
SL wrapper for MASS:lda
CV.SuperLearner
Function to get V-fold cross-validated risk estimate for super learner
SL.bartMachine
Wrapper for bartMachine learner
SL.cforest
cforest (party)
SL.biglasso
SL wrapper for biglasso
CVFolds
Generate list of row numbers for each fold in the cross-validation
SuperLearner.CV.control
Control parameters for the cross validation steps in
SuperLearner
SL.lm
Wrapper for lm
SL.ranger
SL wrapper for ranger
SL.qda
SL wrapper for MASS:qda
SL.xgboost
XGBoost SuperLearner wrapper
SuperLearner
Super Learner Prediction Function
SuperLearner.control
Control parameters for the SuperLearner
SL.speedlm
Wrapper for speedlm
SL.speedglm
Wrapper for speedglm
predict.SL.kernelKnn
Prediction for SL.kernelKnn
SampleSplitSuperLearner
Super Learner Prediction Function
predict.SL.glmnet
Prediction for an SL.glmnet object
create.SL.xgboost
Factory for XGBoost SL wrappers
predict.SL.biglasso
Prediction wrapper for SL.biglasso
plot.CV.SuperLearner
Graphical display of the V-fold CV risk estimates
SuperLearnerNews
Show the NEWS file for the SuperLearner package
create.Learner
Factory for learner wrappers
listWrappers
list all wrapper functions in SuperLearner
predict.SL.lm
Prediction for SL.lm
predict.SL.lda
Prediction wrapper for SL.lda
predict.SuperLearner
Predict method for SuperLearner object
predict.SL.speedglm
Prediction for SL.speedglm
predict.SL.xgboost
XGBoost prediction on new data
predict.SL.bartMachine
bartMachine prediction
predict.SL.glm
Prediction for SL.glm
predict.SL.ksvm
Prediction for SL.ksvm
recombineCVSL
Recombine a CV.SuperLearner fit using a new metalearning method
predict.SL.ranger
Prediction wrapper for ranger random forests
predict.SL.speedlm
Prediction for SL.speedlm
summary.CV.SuperLearner
Summary Function for Cross-Validated Super Learner
write.method.template
Method to estimate the coefficients for the super learner
recombineSL
Recombine a SuperLearner fit using a new metalearning method
predict.SL.qda
Prediction wrapper for SL.qda
trimLogit
truncated-probabilities logit transformation
write.screen.template
screening algorithms for SuperLearner
write.SL.template
Wrapper functions for prediction algorithms in SuperLearner