Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
| Version: | 2.0-22 |
| Depends: | R (≥ 2.14.0), nnls |
| Imports: | cvAUC |
| Suggests: | arm, bartMachine, biglasso, bigmemory, caret, class, dbarts, devtools, e1071, earth, extraTrees, gam, gbm, genefilter, ggplot2, glmnet, Hmisc, ipred, KernelKnn, kernlab, knitr, lattice, LogicReg, MASS, mda, mlbench, nloptr, nnet, party, polspline, prettydoc, quadprog, randomForest, ranger, RhpcBLASctl, ROCR, rmarkdown, rpart, SIS, speedglm, spls, stepPlr, sva, testthat, xgboost (≥ 0.6) |
| Published: | 2017-07-18 |
| 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 |
| Reference manual: | SuperLearner.pdf |
| Vignettes: |
Guide to SuperLearner SuperLearner Presentation |
| Package source: | SuperLearner_2.0-22.tar.gz |
| Windows binaries: | r-devel: SuperLearner_2.0-22.zip, r-release: SuperLearner_2.0-22.zip, r-oldrel: SuperLearner_2.0-22.zip |
| OS X El Capitan binaries: | r-release: SuperLearner_2.0-22.tgz |
| OS X Mavericks binaries: | r-oldrel: SuperLearner_2.0-22.tgz |
| Old sources: | SuperLearner archive |
| Reverse depends: | ctmle, subsemble, tmle |
| Reverse imports: | ck37r, drtmle, survtmle |
| Reverse suggests: | ltmle, medflex, tmle.npvi |
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