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: 2.0-21
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)
Published: 2016-12-01
Author: Eric Polley [aut, cre], Erin LeDell [aut], Chris Kennedy [aut], Sam Lendle [ctb], Mark van der Laan [aut, ths]
Maintainer: Eric Polley <polley.eric at mayo.edu>
License: GPL-3
URL: https://github.com/ecpolley/SuperLearner
NeedsCompilation: no
Materials: NEWS ChangeLog
In views: MachineLearning
CRAN checks: SuperLearner results

Downloads:

Reference manual: SuperLearner.pdf
Vignettes: SuperLearner Presentation
Package source: SuperLearner_2.0-21.tar.gz
Windows binaries: r-devel: SuperLearner_2.0-21.zip, r-release: SuperLearner_2.0-21.zip, r-oldrel: SuperLearner_2.0-19.zip
OS X Mavericks binaries: r-release: SuperLearner_2.0-21.tgz, r-oldrel: SuperLearner_2.0-21.tgz
Old sources: SuperLearner archive

Reverse dependencies:

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

Linking:

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