Implements the super learner prediction method and contains a
library of prediction algorithms to be used in the super learner.
| Version: |
2.0-28 |
| Depends: |
R (≥ 2.14.0), nnls, gam (≥ 1.15) |
| Imports: |
cvAUC |
| Suggests: |
arm, bartMachine, biglasso, bigmemory, caret, class, devtools, e1071, earth, extraTrees, gbm, genefilter, ggplot2, glmnet, ipred, KernelKnn, kernlab, knitr, lattice, LogicReg, MASS, mlbench, nloptr, nnet, party, polspline, prettydoc, quadprog, randomForest, ranger, RhpcBLASctl, ROCR, rmarkdown, rpart, SIS, speedglm, spls, sva, testthat, xgboost (≥ 0.6) |
| Published: |
2021-05-10 |
| Author: |
Eric Polley [aut, cre],
Erin LeDell [aut],
Chris Kennedy [aut],
Sam Lendle [ctb],
Mark van der Laan [aut, ths] |
| Maintainer: |
Eric Polley <epolley at uchicago.edu> |
| License: |
GPL-3 |
| URL: |
https://github.com/ecpolley/SuperLearner |
| NeedsCompilation: |
no |
| Materials: |
NEWS ChangeLog |
| In views: |
Bayesian, MachineLearning |
| CRAN checks: |
SuperLearner results |