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[issues need fixing before 2025-12-22] |
| Reference manual: | SuperLearner.html ,SuperLearner.pdf |
| Vignettes: | Guide to SuperLearner (source,R code) |
| Package source: | SuperLearner_2.0-29.tar.gz |
| Windows binaries: | r-devel:SuperLearner_2.0-29.zip, r-release:SuperLearner_2.0-29.zip, r-oldrel:SuperLearner_2.0-29.zip |
| macOS binaries: | r-release (arm64):SuperLearner_2.0-29.tgz, r-oldrel (arm64):SuperLearner_2.0-29.tgz, r-release (x86_64):SuperLearner_2.0-29.tgz, r-oldrel (x86_64):SuperLearner_2.0-29.tgz |
| Old sources: | SuperLearner archive |
| Reverse depends: | bartXViz,ctmle,EScvtmle,polle,subsemble,survML,tmle |
| 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,tehtuner,tidyhte,vaccine,vimp |
| Reverse suggests: | biotmle,gKRLS,hal9001,ltmle,lvimp,medflex,MRTAnalysis,nestedcv,riskRegression,targeted,vglmer,WeightIt |
Please use the canonical formhttps://CRAN.R-project.org/package=SuperLearnerto link to this page.