SuperLearner: Super Learner Prediction

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

Version: 2.0-19
Depends: R (≥ 2.14.0), nnls
Imports: cvAUC
Suggests: arm, 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
Published: 2016-02-04
Author: Eric Polley, Erin LeDell, Mark van der Laan
Maintainer: Eric Polley <polley.eric at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS ChangeLog
In views: MachineLearning
CRAN checks: SuperLearner results


Reference manual: SuperLearner.pdf
Vignettes: SuperLearner Presentation
Package source: SuperLearner_2.0-19.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: SuperLearner_2.0-19.tgz, r-oldrel: SuperLearner_2.0-19.tgz
Old sources: SuperLearner archive

Reverse dependencies:

Reverse depends: subsemble, tmle
Reverse suggests: ltmle, medflex, tmle.npvi


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