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SuperLearner  

Super Learner Prediction
View on CRAN: Click here


Download and install SuperLearner package within the R console
Install from CRAN:
install.packages("SuperLearner")

Install from Github:
library("remotes")
install_github("cran/SuperLearner")

Install by package version:
library("remotes")
install_version("SuperLearner", "2.0-29")



Attach the package and use:
library("SuperLearner")
Maintained by
Eric Polley
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-09-27
Latest Update: 2024-02-20
Description:
Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
How to cite:
Eric Polley (2011). SuperLearner: Super Learner Prediction. R package version 2.0-29, https://cran.r-project.org/web/packages/SuperLearner. Accessed 06 Nov. 2024.
Previous versions and publish date:
2.0-4 (2011-09-27 12:35), 2.0-6 (2012-03-01 17:21), 2.0-9 (2012-09-11 08:12), 2.0-10 (2013-09-03 19:18), 2.0-15 (2014-07-21 21:12), 2.0-19 (2016-02-04 14:56), 2.0-21 (2016-12-01 21:12), 2.0-22 (2017-07-19 00:39), 2.0-23 (2018-03-12 20:18), 2.0-24 (2018-08-11 07:30), 2.0-25 (2019-08-10 00:20), 2.0-26 (2019-12-10 18:10), 2.0-28.1 (2023-07-18 13:46), 2.0-28 (2021-05-10 09:32)
Other packages that cited SuperLearner R package
View SuperLearner citation profile
Other R packages that SuperLearner depends, imports, suggests or enhances
Complete documentation for SuperLearner
Functions, R codes and Examples using the SuperLearner R package
Some associated functions: CV.SuperLearner . CVFolds . SL.bartMachine . SL.biglasso . SL.cforest . SL.extraTrees . SL.glm . SL.glmnet . SL.kernelKnn . SL.ksvm . SL.lda . SL.lm . SL.qda . SL.ranger . SL.speedglm . SL.speedlm . SL.xgboost . SampleSplitSuperLearner . SuperLearner.CV.control . SuperLearner.control . SuperLearner . SuperLearnerNews . create.Learner . create.SL.xgboost . listWrappers . plot.CV.SuperLearner . predict.SL.bartMachine . predict.SL.biglasso . predict.SL.extraTrees . predict.SL.glm . predict.SL.glmnet . predict.SL.kernelKnn . predict.SL.ksvm . predict.SL.lda . predict.SL.lm . predict.SL.qda . predict.SL.ranger . predict.SL.speedglm . predict.SL.speedlm . predict.SL.xgboost . predict.superlearner . recombineCVSL . recombineSL . summary.CV.SuperLearner . trimLogit . write.SL.template . write.method.template . write.screen.template . 
Some associated R codes: CV.SuperLearner.R . CVFolds.R . SL.bartMachine.R . SL.bayesglm.R . SL.biglasso.R . SL.caret.R . SL.cforest.R . SL.earth.R . SL.extraTrees.R . SL.gam.R . SL.gbm.R . SL.glm.R . SL.glmnet.R . SL.ipredbagg.R . SL.kernelKnn.R . SL.knn.R . SL.ksvm.R . SL.lda.R . SL.leekasso.R . SL.lm.R . SL.loess.R . SL.logreg.R . SL.mean.R . SL.nnet.R . SL.nnls.R . SL.polymars.R . SL.qda.R . SL.randomForest.R . SL.ranger.R . SL.ridge.R . SL.rpart.R . SL.rpartPrune.R . SL.speedglm.R . SL.speedlm.R . SL.step.R . SL.svm.R . SL.template.R . SL.xgboost.R . SampleSplitSuperLearner.R . SuperLearner.R . SuperLearnerNews.R . control.R . create.Learner.R . internals.R . listWrapper.R . mcSuperLearner.R . method.R . plot.CV.SuperLearner.R . predict.SuperLearner.R . print.SuperLearner.R . recombine.R . screen.SIS.R . screen.corP.R . screen.corRank.R . screen.glmnet.R . screen.randomForest.R . screen.template.R . screen.ttest.R . snowSuperLearner.R . summary.CV.SuperLearner.R . trimLogit.R . zzz.R .  Full SuperLearner package functions and examples
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