SuperLearner

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / SuperLearner

SuperLearner

v2.0-41
Repository CRANLicense GPL-3Lifecycle activeNeeds compilation no
Package pageReferenceSourceDOINEWS
DOI
10.32614/CRAN.package.SuperLearner
Task views
Bayesian Inference, Machine Learning & Statistical Learning
Reverse imports
3,437
Reverse depends
886

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Bayesian Inference, Machine Learning & Statistical Learning
Reverse imports
3,437
Reverse depends
886

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
2.0-41
License
GPL-3
Lifecycle
active
Needs compilation
no
Reverse depends
886
Reverse imports
3,437
Last observed
2026-08-23
CRAN
cran.r-project.org/package=SuperLearner

수집 소스별 패키지 정보

1개 소스
CRAN
2.0-41
2026-08-23
License
GPL-3
Depends
R (>= 2.14.0), nnls, gam (>= 1.15)
Imports
cvAUC, methods, rlang
Suggests
arm, bartMachine, biglasso, bigmemory, caret, class, devtools, e1071, earth, gbm, genefilter, ggplot2, glmnet, ipred, KernelKnn, kernlab, knitr, lattice, LogicReg, MASS, mlbench (>= 2.1-11), nloptr, nnet, party, polspline, prettydoc, quadprog, randomForest, ranger, RhpcBLASctl, ROCR, rmarkdown, rpart, SIS, speedglm, spls, sva, testthat, xgboost (>= 0.6)
Needs compilation
no
Reverse depends
886
Reverse imports
3,437
Lifecycle
active
Last observed
2026-08-23 01:01:15

이 패키지가 의존하는 패키지

5개 표시전체 44개
PackageTypeSpec
gam
CRAN · 2.0-41 · 2026-08-24
Dependsgam (>= 1.15)
nnls
CRAN · 2.0-41 · 2026-08-24
Dependsnnls
cvAUC
CRAN · 2.0-41 · 2026-08-24
ImportscvAUC
methods
CRAN · 2.0-41 · 2026-08-24
Importsmethods
rlang
CRAN · 2.0-41 · 2026-08-24
Importsrlang
1 / 9

이 패키지를 쓰는 패키지

5개 표시전체 50개
PackageTypeSpec
bartXViz
1.0.11
CRAN · 2026-08-24
DependsSuperLearner
ctmle
0.1.2
CRAN · 2026-08-24
DependsSuperLearner
polle
1.6.4
CRAN · 2026-08-24
DependsSuperLearner
subsemble
0.1.0
CRAN · 2026-08-24
DependsSuperLearner
survML
1.2.0
CRAN · 2026-08-24
DependsSuperLearner (>= 2.0.28)
1 / 10

Reverse dependency summary

3 types
TypePackages
Depends7
Imports28
Suggests15

패키지 페이지

Reverse depends
14
Reverse imports
52
Reverse suggests
28
All links
94
Repository
CRAN
Version
2.0-40
Collected
2026-06-04 08:16:44
Package page
https://cran.r-project.org/web/packages/SuperLearner/index.html
DOI
10.32614/CRAN.package.SuperLearner
CRAN checks
https://cran.r-project.org/web/checks/check_results_SuperLearner.html
NEWS
https://cran.r-project.org/web/packages/SuperLearner/NEWS
Reference HTML
https://cran.r-project.org/web/packages/SuperLearner/refman/SuperLearner.html
Reference PDF
https://cran.r-project.org/web/packages/SuperLearner/SuperLearner.pdf
Source package
https://cran.r-project.org/src/contrib/SuperLearner_2.0-40.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/SuperLearner
In views
BayesianMachineLearning
Page fields
Author
Eric Polley [aut, cre], Erin LeDell [aut], Chris Kennedy [aut], Sam Lendle [ctb], Mark van der Laan [aut, ths]
CRAN Checks
SuperLearner results
DOI
10.32614/CRAN.package.SuperLearner
In Views
Bayesian , MachineLearning
License
GPL-3
Maintainer
Eric Polley <epolley at uchicago.edu>
Materials
NEWS , ChangeLog
NeedsCompilation
no
Old Sources
SuperLearner archive
Package Source
SuperLearner_2.0-40.tar.gz
Published
2025-12-21
Reference Manual
SuperLearner.html , SuperLearner.pdf
Reverse Depends
bartXViz , ctmle , polle , subsemble , survML , tmle , tradeoffaucdim
Reverse Imports
AIPW , amp , CausalGPS , CausalMetaR , CICI , CIMTx , CRE , crossurr , DeepLearningCausal , drpop , drtmle , evalITR , flevr , flexCausal , lmtp , PLUCR , PND.heter.cluster , PSor , PSweight , Ricrt , RISCA , RobinCar , tehtuner , tidyhte , vaccine , vimp
Reverse Suggests
biotmle , CanonicalFamilyExtra , causaldef , gKRLS , hal9001 , ltmle , lvimp , medflex , MRTAnalysis , nestedcv , riskRegression , targeted , vglmer , WeightIt
URL
https://github.com/ecpolley/SuperLearner
Version
2.0-40
Vignettes
Guide to SuperLearner ( source , R code )
Windows Binaries
r-devel: SuperLearner_2.0-40.zip , r-release: SuperLearner_2.0-40.zip , r-oldrel: SuperLearner_2.0-40.zip
MacOS Binaries
r-release (arm64): SuperLearner_2.0-40.tgz , r-oldrel (arm64): SuperLearner_2.0-40.tgz , r-release (x86_64): SuperLearner_2.0-40.tgz , r-oldrel (x86_64): SuperLearner_2.0-40.tgz
Version
2.0-40
Published
2025-12-21
DOI
10.32614/CRAN.package.SuperLearner
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
GPL-3
URL
https://github.com/ecpolley/SuperLearner
https://github.com/ecpolley/SuperLearner
NeedsCompilation
no
Materials
NEWS , ChangeLog
NEWSChangeLog
In Views
Bayesian , MachineLearning
BayesianMachineLearning
CRAN Checks
SuperLearner results
SuperLearner results
Reference Manual
SuperLearner.html , SuperLearner.pdf
SuperLearner.htmlSuperLearner.pdf
Vignettes
Guide to SuperLearner ( source , R code )
Guide to SuperLearnersourceR code
Package Source
SuperLearner_2.0-40.tar.gz
SuperLearner_2.0-40.tar.gz
Windows Binaries
r-devel: SuperLearner_2.0-40.zip , r-release: SuperLearner_2.0-40.zip , r-oldrel: SuperLearner_2.0-40.zip
SuperLearner_2.0-40.zipSuperLearner_2.0-40.zipSuperLearner_2.0-40.zip
MacOS Binaries
r-release (arm64): SuperLearner_2.0-40.tgz , r-oldrel (arm64): SuperLearner_2.0-40.tgz , r-release (x86_64): SuperLearner_2.0-40.tgz , r-oldrel (x86_64): SuperLearner_2.0-40.tgz
SuperLearner_2.0-40.tgzSuperLearner_2.0-40.tgzSuperLearner_2.0-40.tgzSuperLearner_2.0-40.tgz
Old Sources
SuperLearner archive
SuperLearner archive
Reverse Depends
bartXViz , ctmle , polle , subsemble , survML , tmle , tradeoffaucdim
bartXVizctmlepollesubsemblesurvMLtmletradeoffaucdim
Reverse Imports
AIPW , amp , CausalGPS , CausalMetaR , CICI , CIMTx , CRE , crossurr , DeepLearningCausal , drpop , drtmle , evalITR , flevr , flexCausal , lmtp , PLUCR , PND.heter.cluster , PSor , PSweight , Ricrt , RISCA , RobinCar , tehtuner , tidyhte , vaccine , vimp
AIPWampCausalGPSCausalMetaRCICICIMTxCREcrossurrDeepLearningCausaldrpopdrtmleevalITRflevrflexCausallmtpPLUCRPND.heter.clusterPSorPSweightRicrt
Reverse Suggests
biotmle , CanonicalFamilyExtra , causaldef , gKRLS , hal9001 , ltmle , lvimp , medflex , MRTAnalysis , nestedcv , riskRegression , targeted , vglmer , WeightIt
biotmleCanonicalFamilyExtracausaldefgKRLShal9001ltmlelvimpmedflexMRTAnalysisnestedcvriskRegressiontargetedvglmerWeightIt
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"SuperLearner.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/SuperLearner/refman/SuperLearner.html"},{"label":"SuperLearner.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/SuperLearner/SuperLearner.pdf"},{"label":"Guide to SuperLearner","section":"","type":"","url":"https://cran.r-project.org/web/packages/SuperLearner/vignettes/Guide-to-SuperLearner.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/SuperLearner/vignettes/Guide-to-SuperLearner.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/SuperLearner/vignettes/Guide-to-SuperLearner.R"}]
Text
Reference manual: SuperLearner.html , SuperLearner.pdf Vignettes: Guide to SuperLearner ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"SuperLearner_2.0-40.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/SuperLearner_2.0-40.tar.gz"},{"label":"SuperLearner_2.0-40.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/SuperLearner_2.0-40.zip"},{"label":"SuperLearner_2.0-40.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/SuperLearner_2.0-40.zip"},{"label":"SuperLearner_2.0-40.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/SuperLearner_2.0-40.zip"},{"label":"SuperLearner_2.0-40.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/SuperLearner_2.0-40.tgz"},{"label":"SuperLearner_2.0-40.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/SuperLearner_2.0-40.tgz"},{"label":"SuperLearner_2.0-40.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/SuperLearner_2.0-40.tgz"},{"label":"SuperLearner_2.0-40.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/SuperLearner_2.0-40.tgz"},{"label":"SuperLearner archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/SuperLearner"}]
Text
Package source: SuperLearner_2.0-40.tar.gz Windows binaries: r-devel: SuperLearner_2.0-40.zip , r-release: SuperLearner_2.0-40.zip , r-oldrel: SuperLearner_2.0-40.zip macOS binaries: r-release (arm64): SuperLearner_2.0-40.tgz , r-oldrel (arm64): SuperLearner_2.0-40.tgz , r-release (x86_64): SuperLearner_2.0-40.tgz , r-oldrel (x86_64): SuperLearner_2.0-40.tgz Old sources: SuperLearner archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"bartXViz","section":"","type":"","url":"https://cran.r-project.org/web/packages/bartXViz/index.html"},{"label":"ctmle","section":"","type":"","url":"https://cran.r-project.org/web/packages/ctmle/index.html"},{"label":"polle","section":"","type":"","url":"https://cran.r-project.org/web/packages/polle/index.html"},{"label":"subsemble","section":"","type":"","url":"https://cran.r-project.org/web/packages/subsemble/index.html"},{"label":"survML","section":"","type":"","url":"https://cran.r-project.org/web/packages/survML/index.html"},{"label":"tmle","section":"","type":"","url":"https://cran.r-project.org/web/packages/tmle/index.html"},{"label":"tradeoffaucdim","section":"","type":"","url":"https://cran.r-project.org/web/packages/tradeoffaucdim/index.html"},{"label":"AIPW","section":"","type":"","url":"https://cran.r-project.org/web/packages/AIPW/index.html"},{"label":"amp","section":"","type":"","url":"https://cran.r-project.org/web/packages/amp/index.html"},{"label":"CausalGPS","section":"","type":"","url":"https://cran.r-project.org/web/packages/CausalGPS/index.html"},{"label":"CausalMetaR","section":"","type":"","url":"https://cran.r-project.org/web/packages/CausalMetaR/index.html"},{"label":"CICI","section":"","type":"","url":"https://cran.r-project.org/web/packages/CICI/index.html"},{"label":"CIMTx","section":"","type":"","url":"https://cran.r-project.org/web/packages/CIMTx/index.html"},{"label":"CRE","section":"","type":"","url":"https://cran.r-project.org/web/packages/CRE/index.html"},{"label":"crossurr","section":"","type":"","url":"https://cran.r-project.org/web/packages/crossurr/index.html"},{"label":"DeepLearningCausal","section":"","type":"","url":"https://cran.r-project.org/web/packages/DeepLearningCausal/index.html"},{"label":"drpop","section":"","type":"","url":"https://cran.r-project.org/web/packages/drpop/index.html"},{"label":"drtmle","section":"","type":"","url":"https://cran.r-project.org/web/packages/drtmle/index.html"},{"label":"evalITR","section":"","type":"","url":"https://cran.r-project.org/web/packages/evalITR/index.html"},{"label":"flevr","section":"","type":"","url":"https://cran.r-project.org/web/packages/flevr/index.html"}]
Text
Reverse depends: bartXViz , ctmle , polle , subsemble , survML , tmle , tradeoffaucdim Reverse imports: AIPW , amp , CausalGPS , CausalMetaR , CICI , CIMTx , CRE , crossurr , DeepLearningCausal , drpop , drtmle , evalITR , flevr , flexCausal , lmtp , PLUCR , PND.heter.cluster , PSor , PSweight , Ricrt , RISCA , RobinCar , tehtuner , tidyhte , vaccine , vimp Reverse suggests: biotmle , CanonicalFamilyExtra , causaldef , gKRLS , hal9001 , ltmle , lvimp , medflex , MRTAnalysis , nestedcv , riskRegression , targeted , vglmer , WeightIt
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=SuperLearner","section":"","type":"","url":"https://CRAN.R-project.org/package=SuperLearner"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=SuperLearner to link to this page.
Materials 2
NEWSChangeLog
Documentation 5
SuperLearner.htmlSuperLearner.pdfGuide to SuperLearnersourceR code
Vignettes 3
Guide to SuperLearnersourceR code
Downloads 9
SuperLearner_2.0-40.tar.gzSuperLearner_2.0-40.zipSuperLearner_2.0-40.zipSuperLearner_2.0-40.zipSuperLearner_2.0-40.tgzSuperLearner_2.0-40.tgzSuperLearner_2.0-40.tgzSuperLearner_2.0-40.tgzSuperLearner archive
All page links 94
nnlsgamcvAUCmethodsarmbartMachinebiglassobigmemorycaretclassdevtoolse1071earthgbmgenefilterggplot2glmnetipredKernelKnnkernlabknitrlatticeLogicRegMASS10.32614/CRAN.package.SuperLearnerGPL-3https://github.com/ecpolley/SuperLearnerNEWSChangeLogBayesianMachineLearningSuperLearner resultsSuperLearner.htmlSuperLearner.pdfGuide to SuperLearnersourceR codeSuperLearner_2.0-40.tar.gzSuperLearner_2.0-40.zipSuperLearner_2.0-40.zipSuperLearner_2.0-40.zipSuperLearner_2.0-40.tgzSuperLearner_2.0-40.tgzSuperLearner_2.0-40.tgzSuperLearner_2.0-40.tgzSuperLearner archivebartXVizctmlepollesubsemblesurvMLtmletradeoffaucdimAIPWampCausalGPSCausalMetaRCICICIMTxCREcrossurrDeepLearningCausaldrpopdrtmleevalITRflevrflexCausallmtpPLUCRPND.heter.clusterPSorPSweightRicrtbiotmleCanonicalFamilyExtracausaldefgKRLShal9001ltmlelvimpmedflexMRTAnalysisnestedcvriskRegressiontargetedvglmerWeightItRISCARobinCartehtunertidyhtevaccinevimphttps://CRAN.R-project.org/package=SuperLearner

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN2.0-292024-02-202026-05-312026-05-31
CRAN2.0-28.12023-07-182026-05-312026-05-31
CRAN2.0-282021-05-102026-05-312026-05-31
CRAN2.0-262019-12-102026-05-312026-05-31
CRAN2.0-252019-08-102026-05-312026-05-31
CRAN2.0-242018-08-112026-05-312026-05-31
CRAN2.0-232018-03-122026-05-312026-05-31
CRAN2.0-222017-07-192026-05-312026-05-31
CRAN2.0-212016-12-012026-05-312026-05-31
CRAN2.0-192016-02-042026-05-312026-05-31
CRAN2.0-152014-07-212026-05-312026-05-31
CRAN2.0-102013-09-032026-05-312026-05-31
CRAN2.0-92012-09-112026-05-312026-05-31
CRAN2.0-62012-03-012026-05-312026-05-31
CRAN2.0-42011-09-272026-05-312026-05-31
CRAN2.0-412026-08-232026-08-23
CRAN2.0-402026-07-092026-07-10

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Bayesian Inference · 2026-08-24Machine Learning & Statistical Learning · 2026-08-24