SuperLearner: Super Learner Prediction
Version 2.0-21

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

Browse man pages Browse package API and functions Browse package files

AuthorEric Polley [aut, cre], Erin LeDell [aut], Chris Kennedy [aut], Sam Lendle [ctb], Mark van der Laan [aut, ths]
Date of publication2016-12-01 21:12:50
MaintainerEric Polley <polley.eric@mayo.edu>
LicenseGPL-3
Version2.0-21
URL https://github.com/ecpolley/SuperLearner
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("SuperLearner")

Man pages

create.Learner: Factory for learner wrappers
create.SL.xgboost: Factory for XGBoost SL wrappers
CVFolds: Generate list of row numbers for each fold in the...
CV.SuperLearner: Function to get V-fold cross-validated risk estimate for...
listWrappers: list all wrapper functions in SuperLearner
plot.CV.SuperLearner: Graphical display of the V-fold CV risk estimates
predict.SL.bartMachine: bartMachine prediction
predict.SL.xgboost: XGBoost prediction on new data
predict.superlearner: Predict method for SuperLearner object
recombineCVSL: Recombine a CV.SuperLearner fit using a new metalearning...
recombineSL: Recombine a SuperLearner fit using a new metalearning method
SampleSplitSuperLearner: Super Learner Prediction Function
SL.bartMachine: Wrapper for bartMachine learner
SL.cforest: cforest party
SL.xgboost: XGBoost SuperLearner wrapper
summary.CV.SuperLearner: Summary Function for Cross-Validated Super Learner
SuperLearner: Super Learner Prediction Function
SuperLearner.control: Control parameters for the SuperLearner
SuperLearner.CV.control: Control parameters for the cross validation steps in...
SuperLearnerNews: Show the NEWS file for the SuperLearner package
trimLogit: truncated-probabilities logit transformation
write.method.template: Method to estimate the coefficients for the super learner
write.screen.template: screening algorithms for SuperLearner
write.SL.template: Wrapper functions for prediction algorithms in SuperLearner

Functions

All Man page Source code
CV.SuperLearner Man page Source code
CVFolds Man page Source code
SL.DSA Man page
SL.bart Man page
SL.bartMachine Man page Source code
SL.bayesglm Man page Source code
SL.caret Man page Source code
SL.caret.rpart Man page Source code
SL.cforest Man page Man page Source code
SL.earth Man page Source code
SL.gam Man page Source code
SL.gbm Man page Source code
SL.glm Man page Source code
SL.glm.interaction Man page Source code
SL.glmnet Man page Source code
SL.ipredbagg Man page Source code
SL.knn Man page Source code
SL.leekasso Man page Source code
SL.loess Man page Source code
SL.logreg Man page Source code
SL.mean Man page Source code
SL.nnet Man page Source code
SL.nnls Man page Source code
SL.polymars Man page Source code
SL.randomForest Man page Source code
SL.require Source code
SL.ridge Man page Source code
SL.rpart Man page Source code
SL.rpartPrune Man page Source code
SL.step Man page Source code
SL.step.forward Man page Source code
SL.step.interaction Man page Source code
SL.stepAIC Man page Source code
SL.svm Man page Source code
SL.template Man page Source code
SL.xgboost Man page Source code
SampleSplitSuperLearner Man page Source code
SuperLearner Man page Source code
SuperLearner.CV.control Man page Source code
SuperLearner.control Man page Source code
SuperLearnerDocs Man page Source code
SuperLearnerNews Man page Source code
check.SL.library Source code
coef.CV.SuperLearner Man page Source code
coef.SuperLearner Man page Source code
create.Learner Man page Source code
create.SL.xgboost Man page Source code
createLibrary Source code
listWrappers Man page Source code
mcSuperLearner Man page Source code
method.AUC Man page Source code
method.CC_LS Man page Source code
method.CC_nloglik Man page Source code
method.NNLS Man page Source code
method.NNLS2 Man page Source code
method.NNloglik Man page Source code
method.template Man page Source code
onAttach Source code
plot.CV.SuperLearner Man page Source code
predict.SL.DSA Man page
predict.SL.bart Man page
predict.SL.bartMachine Man page Source code
predict.SL.bayesglm Man page Source code
predict.SL.caret Man page Source code
predict.SL.cforest Man page Source code
predict.SL.earth Man page Source code
predict.SL.gam Man page Source code
predict.SL.gbm Man page Source code
predict.SL.glm Man page Source code
predict.SL.glmnet Man page Source code
predict.SL.ipredbagg Man page Source code
predict.SL.knn Man page Source code
predict.SL.leekasso Man page Source code
predict.SL.loess Man page Source code
predict.SL.logreg Man page Source code
predict.SL.mean Man page Source code
predict.SL.nnet Man page Source code
predict.SL.nnls Man page Source code
predict.SL.polymars Man page Source code
predict.SL.randomForest Man page Source code
predict.SL.ridge Man page Source code
predict.SL.rpart Man page Source code
predict.SL.step Man page Source code
predict.SL.stepAIC Man page Source code
predict.SL.svm Man page Source code
predict.SL.template Man page Source code
predict.SL.xgboost Man page Source code
predict.SuperLearner Man page Source code
print.CV.SuperLearner Man page Source code
print.SuperLearner Man page Source code
print.summary.CV.SuperLearner Man page Source code
recombineCVSL Man page Source code
recombineSL Man page Source code
screen.SIS Man page Source code
screen.corP Man page Source code
screen.corRank Man page Source code
screen.glmnet Man page Source code
screen.randomForest Man page Source code
screen.template Man page Source code
screen.ttest Man page Source code
snowSuperLearner Man page Source code
summary.CV.SuperLearner Man page Source code
trimLogit Man page Source code
write.SL.template Man page Source code
write.method.template Man page Source code
write.screen.template Man page Source code

Files

inst
inst/ToDo
inst/NEWS
inst/ChangeLog
inst/doc
inst/doc/SuperLearnerPresent.pdf
inst/doc/SuperLearnerPresent.Rnw
tests
tests/testthat.R
tests/testthat
tests/testthat/testSummaryCVSuperLearner.R
tests/testthat/testBartMachine.R
tests/testthat/testRandomForest.R
tests/testthat/testCreateLearner.R
tests/testthat/testMethods.R
tests/testthat/test_cforest.R
tests/testthat/test_SuperLearner.R
tests/testthat/testXGBoost.R
NAMESPACE
R
R/CVFolds.R
R/SL.gam.R
R/screen.glmnet.R
R/CV.SuperLearner.R
R/SL.xgboost.R
R/screen.corRank.R
R/SampleSplitSuperLearner.R
R/screen.corP.R
R/SL.leekasso.R
R/SL.svm.R
R/snowSuperLearner.R
R/listWrapper.R
R/summary.CV.SuperLearner.R
R/SL.loess.R
R/internals.R
R/control.R
R/SL.nnet.R
R/SL.rpartPrune.R
R/SL.randomForest.R
R/SL.caret.R
R/SL.logreg.R
R/SL.mean.R
R/SL.glm.R
R/method.R
R/SL.ipredbagg.R
R/SL.nnls.R
R/SuperLearner.R
R/SL.gbm.R
R/predict.SuperLearner.R
R/SL.earth.R
R/print.SuperLearner.R
R/SL.polymars.R
R/SL.step.R
R/screen.template.R
R/SL.template.R
R/plot.CV.SuperLearner.R
R/trimLogit.R
R/screen.SIS.R
R/SL.rpart.R
R/SL.glmnet.R
R/mcSuperLearner.R
R/SL.knn.R
R/SL.ridge.R
R/screen.ttest.R
R/create.Learner.R
R/recombine.R
R/screen.randomForest.R
R/SL.bayesglm.R
R/SuperLearnerNews.R
R/zzz.R
R/SL.cforest.R
R/SL.bartMachine.R
vignettes
vignettes/SuperLearnerR.pdf
vignettes/SuperLearnerPresent.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/write.method.template.Rd
man/predict.SL.xgboost.Rd
man/write.screen.template.Rd
man/SL.bartMachine.Rd
man/SuperLearner.CV.control.Rd
man/write.SL.template.Rd
man/SampleSplitSuperLearner.Rd
man/listWrappers.Rd
man/predict.superlearner.Rd
man/create.Learner.Rd
man/SuperLearner.Rd
man/plot.CV.SuperLearner.Rd
man/create.SL.xgboost.Rd
man/SuperLearnerNews.Rd
man/CV.SuperLearner.Rd
man/summary.CV.SuperLearner.Rd
man/recombineCVSL.Rd
man/SL.cforest.Rd
man/CVFolds.Rd
man/predict.SL.bartMachine.Rd
man/recombineSL.Rd
man/SuperLearner.control.Rd
man/trimLogit.Rd
man/SL.xgboost.Rd
SuperLearner documentation built on May 19, 2017, 6:48 p.m.