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

Documentation

Manual: SuperLearner.pdf
Vignette: SuperLearner Presentation

Maintainer: Eric Polley <polley.eric at mayo.edu>

Author(s): Eric Polley*, Erin LeDell*, Chris Kennedy*, Sam Lendle*, Mark van der Laan*

Install package and any missing dependencies by running this line in your R console:

install.packages("SuperLearner")

Depends R (>= 2.14.0), nnls
Imports cvAUC
Suggests arm, bartMachine, caret, class, e1071, earth, gam, gbm, genefilter, ggplot2, glmnet, Hmisc, ipred, lattice, LogicReg, MASS, mda, mlbench, nloptr, nnet, party, polspline, quadprog, randomForest, ROCR, rpart, SIS, spls, stepPlr, sva, testthat, xgboost(>=0.6)
Enhances
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subsemble, tmle
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imports
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ltmle, medflex, tmle.npvi
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Package SuperLearner
Materials
URL https://github.com/ecpolley/SuperLearner
Task Views MachineLearning
Version 2.0-21
Published 2016-12-01
License GPL-3
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks SuperLearner check results
Package source SuperLearner_2.0-21.tar.gz