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SuperLearner (version 2.0-28.1)
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
5,693
Version
2.0-28.1
License
GPL-3
Issues
12
Pull Requests
3
Stars
266
Forks
69
Repository
https://github.com/ecpolley/SuperLearner
Maintainer
Eric Polley
Last Published
July 18th, 2023
Functions in SuperLearner (2.0-28.1)
Search functions
SL.extraTrees
extraTrees SuperLearner wrapper
SL.biglasso
SL wrapper for biglasso
SL.cforest
cforest party
CV.SuperLearner
Function to get V-fold cross-validated risk estimate for super learner
SL.glm
Wrapper for glm
SL.ksvm
Wrapper for Kernlab's SVM algorithm
SL.glmnet
Elastic net regression, including lasso and ridge
CVFolds
Generate list of row numbers for each fold in the cross-validation
SL.lm
Wrapper for lm
SL.speedlm
Wrapper for speedlm
SL.lda
SL wrapper for MASS:lda
SL.speedglm
Wrapper for speedglm
SL.ranger
SL wrapper for ranger
SL.xgboost
XGBoost SuperLearner wrapper
SL.qda
SL wrapper for MASS:qda
predict.SL.extraTrees
extraTrees prediction on new data
SuperLearner.CV.control
Control parameters for the cross validation steps in
SuperLearner
SuperLearner
Super Learner Prediction Function
create.Learner
Factory for learner wrappers
SampleSplitSuperLearner
Super Learner Prediction Function
SuperLearner.control
Control parameters for the SuperLearner
SuperLearnerNews
Show the NEWS file for the SuperLearner package
predict.SL.bartMachine
bartMachine prediction
predict.SL.glm
Prediction for SL.glm
predict.SL.qda
Prediction wrapper for SL.qda
predict.SL.lm
Prediction for SL.lm
predict.SL.ksvm
Prediction for SL.ksvm
predict.SL.biglasso
Prediction wrapper for SL.biglasso
predict.SL.lda
Prediction wrapper for SL.lda
create.SL.xgboost
Factory for XGBoost SL wrappers
predict.SL.xgboost
XGBoost prediction on new data
predict.SL.speedlm
Prediction for SL.speedlm
predict.SuperLearner
Predict method for SuperLearner object
recombineSL
Recombine a SuperLearner fit using a new metalearning method
summary.CV.SuperLearner
Summary Function for Cross-Validated Super Learner
recombineCVSL
Recombine a CV.SuperLearner fit using a new metalearning method
write.screen.template
screening algorithms for SuperLearner
write.method.template
Method to estimate the coefficients for the super learner
predict.SL.glmnet
Prediction for an SL.glmnet object
predict.SL.kernelKnn
Prediction for SL.kernelKnn
write.SL.template
Wrapper functions for prediction algorithms in SuperLearner
trimLogit
truncated-probabilities logit transformation
predict.SL.ranger
Prediction wrapper for ranger random forests
predict.SL.speedglm
Prediction for SL.speedglm
plot.CV.SuperLearner
Graphical display of the V-fold CV risk estimates
listWrappers
list all wrapper functions in SuperLearner
SL.bartMachine
Wrapper for bartMachine learner
SL.kernelKnn
SL wrapper for KernelKNN