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 <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 Documentation: Downloads: Reverse dependencies: Reverse depends: bartXViz, ctmle, EScvtmle, polle, subsemble, survML, tmle, tradeoffaucdim Reverse imports: AIPW, amp, CausalGPS, CausalMetaR, causalweight, CIMTx, CompMix, CRE, crossurr, DeepLearningCausal, DRDRtest, drpop, drtmle, evalITR, flevr, GPCERF, lmtp, nlpred, PND.heter.cluster, PSweight, Ricrt, RISCA, RobinCar, superMICE, tehtuner, tidyhte, vaccine, vimp Reverse suggests: biotmle, gKRLS, hal9001, ltmle, medflex, nestedcv, riskRegression, targeted, vglmer, WeightIt Linking:Please use the canonical form https://CRAN.R-project.org/package=SuperLearner to link to this page.
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