SuperLearner: Super Learner Prediction (original) (raw)
Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
| Version: | 2.0-29 |
|---|---|
| Depends: | R (≥ 2.14.0), nnls, gam (≥ 1.15) |
| Imports: | cvAUC, methods |
| Suggests: | arm, bartMachine, biglasso, bigmemory, caret, class, devtools, e1071, earth, 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: | 2024-02-20 |
| DOI: | 10.32614/CRAN.package.SuperLearner |
| Author: | Eric Polley [aut, cre], Erin LeDell [aut], Chris Kennedy [aut], Sam Lendle [ctb], Mark van der Laan [aut, ths] |
| Maintainer: | Eric Polley |
| License: | GPL-3 |
| URL: | https://github.com/ecpolley/SuperLearner |
| NeedsCompilation: | no |
| Materials: | |
| In views: | Bayesian, MachineLearning |
| CRAN checks: | SuperLearner results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | ctmle, EScvtmle, polle, subsemble, survML, tmle |
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| Reverse imports: | AIPW, amp, CausalGPS, CausalMetaR, causalweight, CIMTx, CompMix, CRE, crossurr, DeepLearningCausal, DRDRtest, drpop, drtmle, evalITR, flevr, GPCERF, lmtp, nlpred, PSweight, Ricrt, RISCA, RobinCar, superMICE, tehtuner, tidyhte, vaccine, vimp |
| Reverse suggests: | biotmle, gKRLS, hal9001, ltmle, medflex, nestedcv, riskRegression, targeted, vglmer, WeightIt |
Linking:
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