glmnet

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / glmnet

glmnet

v5.0
Repository CRANLicense GPL-2Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.glmnet
Task views
Machine Learning & Statistical Learning, Survival Analysis
Reverse imports
15,297
Reverse depends
1,742

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Machine Learning & Statistical Learning, Survival Analysis
Reverse imports
15,297
Reverse depends
1,742

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
5.0
License
GPL-2
Lifecycle
active
Needs compilation
yes
Reverse depends
1,742
Reverse imports
15,297
Last observed
2026-05-30
CRAN
cran.r-project.org/package=glmnet

Build fields

LinkingTo
2
RcppEigenRcpp

수집 소스별 패키지 정보

1개 소스
CRAN
5.0
2026-05-30
License
GPL-2
Depends
R (>= 3.6.0), Matrix (>= 1.0-6)
Imports
methods, utils, foreach, shape, survival, Rcpp
Suggests
knitr, lars, nnet, testthat, xfun, rmarkdown
LinkingTo
RcppEigen, Rcpp
Needs compilation
yes
Reverse depends
1,742
Reverse imports
15,297
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 15개
PackageTypeSpec
Matrix
CRAN · 5.0 · 2026-05-30
DependsMatrix (>= 1.0-6)
foreach
CRAN · 5.0 · 2026-05-30
Importsforeach
methods
CRAN · 5.0 · 2026-05-30
Importsmethods
Rcpp
CRAN · 5.0 · 2026-05-30
ImportsRcpp
shape
CRAN · 5.0 · 2026-05-30
Importsshape
1 / 3

이 패키지를 쓰는 패키지

5개 표시전체 120개
PackageTypeSpec
adapt4pv
0.2-3
CRAN · 2026-05-30
Dependsglmnet (>= 3.0-2)
bapred
1.1
CRAN · 2026-05-30
Dependsglmnet
btml
0.4.0
CRAN · 2026-05-30
Dependsglmnet
CBPS
0.24
CRAN · 2026-05-30
Dependsglmnet
cosso
2.1-2
CRAN · 2026-05-30
Dependsglmnet
1 / 24

Reverse dependency summary

4 types
TypePackages
Depends44
Imports397
Suggests156
Enhances2

패키지 페이지

Reverse depends
94
Reverse imports
876
Reverse suggests
332
Reverse enhances
4
All links
706
Repository
CRAN
Version
5.0
Collected
2026-05-25 11:39:24
Package page
https://cran.r-project.org/web/packages/glmnet/index.html
DOI
10.32614/CRAN.package.glmnet
Citation
https://cran.r-project.org/web/packages/glmnet/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_glmnet.html
README
https://cran.r-project.org/web/packages/glmnet/readme/README.html
NEWS
https://cran.r-project.org/web/packages/glmnet/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/glmnet/refman/glmnet.html
Reference PDF
https://cran.r-project.org/web/packages/glmnet/glmnet.pdf
Source package
https://cran.r-project.org/src/contrib/glmnet_5.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/glmnet
In views
MachineLearningSurvival
Page fields
Author
Jerome Friedman [aut], Trevor Hastie [aut, cre], Rob Tibshirani [aut], Balasubramanian Narasimhan [aut], Kenneth Tay [aut], Noah Simon [aut], Junyang Qian [ctb], James Yang [aut], Jonathan Taylor [aut]
CRAN Checks
glmnet results
Citation
glmnet citation info
DOI
10.32614/CRAN.package.glmnet
In Views
MachineLearning , Survival
License
GPL-2
LinkingTo
RcppEigen , Rcpp
Maintainer
Trevor Hastie <hastie at stanford.edu>
Materials
README , NEWS
NeedsCompilation
yes
Old Sources
glmnet archive
Package Source
glmnet_5.0.tar.gz
Published
2026-05-04
Reference Manual
glmnet.html , glmnet.pdf
Reverse Depends
adapt4pv , bapred , btml , CBPS , cosso , ctmle , DTRlearn2 , elasso , ensr , gamlss.lasso , gcomputation , GlarmaVarSel , glmnetcr , glmvsd , Grace , HIMA , InvariantCausalPrediction , ipflasso , islasso , KLexp , LogisticEnsembles , mcen , metagenomeSeq , mmabig , MNS , mpath , MRFcov , MTPS , MultiGlarmaVarSel , mvs , NBtsVarSel , NumericEnsembles , omada , PAS , personalized , ProSGPV , prototest , RLassoCox , roccv , selectiveInference , sharpPen , SIMMS , sox , tgml , tmle , TSGSIS , uniLasso
Reverse Enhances
prediction , vip
Reverse Imports
a4Base , a4Classif , a4Core , afthd , aglm , alookr , aloom , AMARETTO , amp , AnchorRegression , anoint , ArCo , argo , ARGOS , ARTtransfer , arulesCBA , ASICS , asuri , auxvecLASSO , banditsCI , bbknnR , BeSS , bestglm , biospear , BioUtils , BlockMissingData , BloodCancerMultiOmics2017 , BNrich , bolasso , bonsaiforest , BrainCon , BSPBSS , BulkSignalR , BWGS , c060 , CARBayes , categoryEncodings , CausalMetaR , cbl , CenBAR , CERFIT , changepoints , CICI , CIpostSelect , clusterMI , CNVreg , coca , coda4microbiome , combss , comets , ComICS , Compositional , CondCopulas , conformalInference.multi , ConformalSmallest , ConnectednessApproach , cornet , cossonet , Coxmos , cpfa , CPSM , cpt , cramR , CRE , crossurr , CSCNet , csmpv , customizedTraining , CytoDx , DDL , ddml , debiasedTrialEmulation , DEET , DepInfeR , DevTreatRules , difR , dipw , DLL , DLMRMV , DMRnet , dnr , doc2concrete , drcarlate , drrglm , dtComb , E2E , easy.glmnet , emBayes , EMJMCMC , enetLTS , EnMCB , ENMeval , ePCR , EpidigiR , ER , eshrink , evalITR , EventPointer , eventstream , EZtune , factReg , FADA , fairml , fastcpd , FastRet , fetwfe , FGLMtrunc , FindIt , FindIT2 , finnts , FLAME , flassomsm , flexBART , FLORAL , FluxPoint , forestsearch , funcml , FunctanSNP , fuser , gapclosing , GAprediction , GEInfo , ggmix , glmnetr , glmnetSE , glmnetUtils , glmSparseNet , glmtrans , GMDH2 , GMSimpute , gofar , goffda , graphicalExtremes , graphicalVAR , GRSxE , GWlasso , GWLelast , GWRLASSO , hal9001 , hbal , HDCI , hdcuremodels , hdi , hdm , hdme , hdnom , hierGWAS , hierinf , highMLR , HMC , HOIFCar , HTLR , HTRX , ICBioMark , idopNetwork , IFAA , inet , iNETgrate , interflex , inters , intrinsicFRP , IOBR , IsingFit , jazzPanda , joinet , khaos , knockoff , KnockoffHybrid , kosel , kuenm2 , l1spectral , LassoSIR , LEGIT , lilikoi , lime , LKT , localModel , logicDT , LPRelevance , LRQVB , LUCIDus , manydata , mase , matrans , MaximinInfer , maxnet , mcb , mcboost , mdpeer , MEAT , MedZIsc , MendelianRandomization , MESS , MetabolicSurv , metafuse , MetaNLP , MFF , mgm , mice , MicrobiomeSurv , mikropml , milr , miRLAB , misaem , MissCP , misspi , mlr3superlearner , mlS3 , MLSP , modelSelection , modeltime.ensemble , modnets , mombf , monaLisa , mplot , MRFA , MRZero , msaenet , MTE , mudfold , MUGS , multid , multiModTest , multiness , multivar , multivarious , multiview , MUVR2 , mvfmr , nadir , naivereg , natural , NCutYX , nestedcv , NetGreg , netgsa , nethet , nnfor , nnGarrote , NonProbEst , nproc , obliqueRSF , oCELLoc , ocf , ocrRBBR , ODRF , OHPL , omicwas , OpenSpecy , oRaklE , organik , pacheck , palasso , PathoStat , pboost , PCGII , pda , PDN , pencal , pengls , penppml , PFLR , pgraph , phd , PheCAP , PheVis , PhylogeneticEM , plasso , plmmr , plsmmLasso , plsmselect , poissonsuperlearner , politeness , polywog , POMA , pqrBayes , pre , precmed , predhy , predhy.GUI , predictoR , priorityelasticnet , prioritylasso , PRISM.forecast , probe , ProxReg , QTL.gCIMapping , QTL.gCIMapping.GUI , quanteda.textmodels , quickSentiment , Qval , ramwas , RankMap , rare , RaSEn , RBBR , rdomains , RegEnRF , regmhmm , regnet , RegrCoeffsExplorer , regressoR , regsplice , regtools , REN , rENA , RESOLVE , rexposome , RFGeneRank , Rforestry , Ricrt , RISCA , riskRegression , RIVER , rminer , rMultiNet , RNAseqNet , roben , RobMixReg , robStepSplitReg , RobustIV , RobustPrediction , Robyn , ROCSI , roseRF , RPtests , rqt , rrpack , RSDA , RTextTools , S3VS , SAVER , savvyGLM , savvyPR , savvySh , SBICgraph , scAnnotate , sccic , SCFA , scGPS , scGraphVerse , scPOEM , sdafilter , SelectBoost , SelectBoost.beta , SEMgraph , SentimentAnalysis , sentometrics , sharp , ShiVa , SIAMCAT , Sieve , signeR , SIHR , SILFS , SILM , simode , simputation , SIS , SISIR , sivs , skipTrack , SMAHP , SMLE , SMMAL , sMTL , smurf , SoftBart , SOIL , SpaceTrooper , spareg , sparselink , sparsenetgls , sparsevar , sparsevb , spexvb , SpiecEasi , spinBayes , SplitKnockoff , splitSelect , spm2 , SPONGE , SPSP , SpTe2M , SQIpro , squant , stabiliser , StabilizedRegression , stacks , starnet , stepPenal , stm , STOPES , StratifiedMedicine , sts , SubgrpID , sureLDA , SuRF.vs , survalis , survcompare , SurvGME , SurvHiDim , survivalSL , SVEMnet , svyVarSel , TANDEM , TBSignatureProfiler , tehtuner , TensorMCMC , theftdlc , tidylearn , tools4uplift , TOP , TOSI , TraceAssist , traineR , transfR , TransHDM , transreg , TRexSelector , tsensembler , tsrobprep , TULIP , VARcpDetectOnline , varEst , varPro , varycoef , VSOLassoBag , waou , wavFeatExt , webSDM , WLogit , WpProj , wsprv , xcore , xLLiM , xrf , ZVCV
Reverse Suggests
animalcules , aorsf , autostats , BAGofT , bamlss , bbl , bcaboot , biglasso , bigstatsr , BiodiversityR , bioLeak , broom , CanonicalFamilyExtra , caretEnsemble , casebase , cases , catdata , censored , cgam , CimpleG , ClassifyR , CMA , coefplot , CompareCausalNetworks , condvis2 , contagionchannels , corrselect , cpi , CrcBiomeScreen , cuda.ml , cydar , daltoolbox , DebiasInfer , decoupleR , DeepLearningCausal , dfr , DirectEffects , DoubleML , drape , DrData , easyalluvial , ecostats , EHR , ensModelVis , ErrorTracer , familiar , fastml , fdaSP , fdm2id , flevr , flexmix , FRESA.CAD , fuseMLR , futurize , gedi2 , gemR , GenericML , ggfortify , GWASinlps , healthyR.ts , heuristica , hierNest , iml , imputeR , live , LSAmitR , MachineShop , MatchIt , medflex , MetNet , ml , mllrnrs , mlr , mlr3learners , mlr3pipelines , mlr3resampling , mlr3tuningspaces , mlr3viz , mlsurvlrnrs , modeltime , modeltime.resample , ModStatR , mpae , MSclassifR , Nestimate , nscancor , offsetreg , oosse , orbital , ordinalNet , origami , oscar , PartialTL , PatientLevelPrediction , Patterns , PCpluS , peperr , philr , plotmo , pMEM , pminternal , pmml , poissonreg , polle , PortfolioTesteR , PosiR , projpred , pulsar , purgeR , qeML , quadrupen , qwraps2 , r2pmml , rACMEMEEV , randomForestRHF , randomForestSGT , rcellminer , regsem , ReproStat , RnBeads , rtemis , s2net , sAIC , SelectBoost.FDA , SelectBoost.gamlss , sense , SETA , sgd , sgs , simulator , smoppix , sparsegl , spatstat.model , SplitReg , stabs , StatMatch , STPGA , stratamatch , subsemble , SuperLearner , SuperSurv , survex , swag , TAPseq , targeted , TensorTest2D , text , text2vec , tidyAML , tidyfit , tidyhte , tidypredict , timetk , topics , tornado , tramnet , twoStageDesignTMLE , UBayFS , unifiedml , varbvs , VIM , vimp , WeightedROC , weights , workflows , writeAlizer
SystemRequirements
C++17
URL
https://glmnet.stanford.edu
Version
5.0
Vignettes
Regularized Cox Regression ( source , R code ) Computations for Cox Regression ( source , R code ) A History of glmnet ( source , R code ) An Introduction to glmnet ( source , R code ) The family Argument for glmnet ( source , R code ) The Relaxed Lasso ( source , R code )
Windows Binaries
r-devel: glmnet_5.0.zip , r-release: glmnet_5.0.zip , r-oldrel: glmnet_5.0.zip
MacOS Binaries
r-release (arm64): glmnet_5.0.tgz , r-oldrel (arm64): glmnet_5.0.tgz , r-release (x86_64): glmnet_5.0.tgz , r-oldrel (x86_64): glmnet_5.0.tgz
Version
5.0
LinkingTo
RcppEigen , Rcpp
RcppEigenRcpp
Published
2026-05-04
DOI
10.32614/CRAN.package.glmnet
10.32614/CRAN.package.glmnet
Author
Jerome Friedman [aut], Trevor Hastie [aut, cre], Rob Tibshirani [aut], Balasubramanian Narasimhan [aut], Kenneth Tay [aut], Noah Simon [aut], Junyang Qian [ctb], James Yang [aut], Jonathan Taylor [aut]
Maintainer
Trevor Hastie <hastie at stanford.edu>
License
GPL-2
GPL-2
URL
https://glmnet.stanford.edu
https://glmnet.stanford.edu
NeedsCompilation
yes
SystemRequirements
C++17
Citation
glmnet citation info
glmnet citation info
Materials
README , NEWS
READMENEWS
In Views
MachineLearning , Survival
MachineLearningSurvival
CRAN Checks
glmnet results
glmnet results
Reference Manual
glmnet.html , glmnet.pdf
glmnet.htmlglmnet.pdf
Vignettes
Regularized Cox Regression ( source , R code ) Computations for Cox Regression ( source , R code ) A History of glmnet ( source , R code ) An Introduction to glmnet ( source , R code ) The family Argument for glmnet ( source , R code ) The Relaxed Lasso ( source , R code )
Regularized Cox RegressionsourceR codeComputations for Cox RegressionsourceR codeA History of glmnetsourceR codeAn Introduction to glmnetsourceR codeThe family Argument for glmnetsourceR codeThe Relaxed LassosourceR code
Package Source
glmnet_5.0.tar.gz
glmnet_5.0.tar.gz
Windows Binaries
r-devel: glmnet_5.0.zip , r-release: glmnet_5.0.zip , r-oldrel: glmnet_5.0.zip
glmnet_5.0.zipglmnet_5.0.zipglmnet_5.0.zip
MacOS Binaries
r-release (arm64): glmnet_5.0.tgz , r-oldrel (arm64): glmnet_5.0.tgz , r-release (x86_64): glmnet_5.0.tgz , r-oldrel (x86_64): glmnet_5.0.tgz
glmnet_5.0.tgzglmnet_5.0.tgzglmnet_5.0.tgzglmnet_5.0.tgz
Old Sources
glmnet archive
glmnet archive
Reverse Depends
adapt4pv , bapred , btml , CBPS , cosso , ctmle , DTRlearn2 , elasso , ensr , gamlss.lasso , gcomputation , GlarmaVarSel , glmnetcr , glmvsd , Grace , HIMA , InvariantCausalPrediction , ipflasso , islasso , KLexp , LogisticEnsembles , mcen , metagenomeSeq , mmabig , MNS , mpath , MRFcov , MTPS , MultiGlarmaVarSel , mvs , NBtsVarSel , NumericEnsembles , omada , PAS , personalized , ProSGPV , prototest , RLassoCox , roccv , selectiveInference , sharpPen , SIMMS , sox , tgml , tmle , TSGSIS , uniLasso
adapt4pvbapredbtmlCBPScossoctmleDTRlearn2elassoensrgamlss.lassogcomputationGlarmaVarSelglmnetcrglmvsdGraceHIMAInvariantCausalPredictionipflassoislassoKLexp
Reverse Imports
a4Base , a4Classif , a4Core , afthd , aglm , alookr , aloom , AMARETTO , amp , AnchorRegression , anoint , ArCo , argo , ARGOS , ARTtransfer , arulesCBA , ASICS , asuri , auxvecLASSO , banditsCI , bbknnR , BeSS , bestglm , biospear , BioUtils , BlockMissingData , BloodCancerMultiOmics2017 , BNrich , bolasso , bonsaiforest , BrainCon , BSPBSS , BulkSignalR , BWGS , c060 , CARBayes , categoryEncodings , CausalMetaR , cbl , CenBAR , CERFIT , changepoints , CICI , CIpostSelect , clusterMI , CNVreg , coca , coda4microbiome , combss , comets , ComICS , Compositional , CondCopulas , conformalInference.multi , ConformalSmallest , ConnectednessApproach , cornet , cossonet , Coxmos , cpfa , CPSM , cpt , cramR , CRE , crossurr , CSCNet , csmpv , customizedTraining , CytoDx , DDL , ddml , debiasedTrialEmulation , DEET , DepInfeR , DevTreatRules , difR , dipw , DLL , DLMRMV , DMRnet , dnr , doc2concrete , drcarlate , drrglm , dtComb , E2E , easy.glmnet , emBayes , EMJMCMC , enetLTS , EnMCB , ENMeval , ePCR , EpidigiR , ER , eshrink , evalITR , EventPointer , eventstream , EZtune , factReg , FADA , fairml , fastcpd , FastRet , fetwfe , FGLMtrunc , FindIt , FindIT2 , finnts , FLAME , flassomsm , flexBART , FLORAL , FluxPoint , forestsearch , funcml , FunctanSNP , fuser , gapclosing , GAprediction , GEInfo , ggmix , glmnetr , glmnetSE , glmnetUtils , glmSparseNet , glmtrans , GMDH2 , GMSimpute , gofar , goffda , graphicalExtremes , graphicalVAR , GRSxE , GWlasso , GWLelast , GWRLASSO , hal9001 , hbal , HDCI , hdcuremodels , hdi , hdm , hdme , hdnom , hierGWAS , hierinf , highMLR , HMC , HOIFCar , HTLR , HTRX , ICBioMark , idopNetwork , IFAA , inet , iNETgrate , interflex , inters , intrinsicFRP , IOBR , IsingFit , jazzPanda , joinet , khaos , knockoff , KnockoffHybrid , kosel , kuenm2 , l1spectral , LassoSIR , LEGIT , lilikoi , lime , LKT , localModel , logicDT , LPRelevance , LRQVB , LUCIDus , manydata , mase , matrans , MaximinInfer , maxnet , mcb , mcboost , mdpeer , MEAT , MedZ
a4Basea4Classifa4CoreafthdaglmalookraloomAMARETTOampAnchorRegressionanointArCoargoARGOSARTtransferarulesCBAASICSasuriauxvecLASSObanditsCI
Reverse Suggests
animalcules , aorsf , autostats , BAGofT , bamlss , bbl , bcaboot , biglasso , bigstatsr , BiodiversityR , bioLeak , broom , CanonicalFamilyExtra , caretEnsemble , casebase , cases , catdata , censored , cgam , CimpleG , ClassifyR , CMA , coefplot , CompareCausalNetworks , condvis2 , contagionchannels , corrselect , cpi , CrcBiomeScreen , cuda.ml , cydar , daltoolbox , DebiasInfer , decoupleR , DeepLearningCausal , dfr , DirectEffects , DoubleML , drape , DrData , easyalluvial , ecostats , EHR , ensModelVis , ErrorTracer , familiar , fastml , fdaSP , fdm2id , flevr , flexmix , FRESA.CAD , fuseMLR , futurize , gedi2 , gemR , GenericML , ggfortify , GWASinlps , healthyR.ts , heuristica , hierNest , iml , imputeR , live , LSAmitR , MachineShop , MatchIt , medflex , MetNet , ml , mllrnrs , mlr , mlr3learners , mlr3pipelines , mlr3resampling , mlr3tuningspaces , mlr3viz , mlsurvlrnrs , modeltime , modeltime.resample , ModStatR , mpae , MSclassifR , Nestimate , nscancor , offsetreg , oosse , orbital , ordinalNet , origami , oscar , PartialTL , PatientLevelPrediction , Patterns , PCpluS , peperr , philr , plotmo , pMEM , pminternal , pmml , poissonreg , polle , PortfolioTesteR , PosiR , projpred , pulsar , purgeR , qeML , quadrupen , qwraps2 , r2pmml , rACMEMEEV , randomForestRHF , randomForestSGT , rcellminer , regsem , ReproStat , RnBeads , rtemis , s2net , sAIC , SelectBoost.FDA , SelectBoost.gamlss , sense , SETA , sgd , sgs , simulator , smoppix , sparsegl , spatstat.model , SplitReg , stabs , StatMatch , STPGA , stratamatch , subsemble , SuperLearner , SuperSurv , survex , swag , TAPseq , targeted , TensorTest2D , text , text2vec , tidyAML , tidyfit , tidyhte , tidypredict , timetk , topics , tornado , tramnet , twoStageDesignTMLE , UBayFS , unifiedml , varbvs , VIM , vimp , WeightedROC , weights , workflows , writeAlizer
animalculesaorsfautostatsBAGofTbamlssbblbcabootbiglassobigstatsrBiodiversityRbioLeakbroomCanonicalFamilyExtracaretEnsemblecasebasecasescatdatacensoredcgamCimpleG
Reverse Enhances
prediction , vip
predictionvip
Page sections 4
Documentation
Heading
Documentation
Links
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Text
Reference manual: glmnet.html , glmnet.pdf Vignettes: Regularized Cox Regression ( source , R code ) Computations for Cox Regression ( source , R code ) A History of glmnet ( source , R code ) An Introduction to glmnet ( source , R code ) The family Argument for glmnet ( source , R code ) The Relaxed Lasso ( source , R code )
Downloads
Heading
Downloads
Links
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Package source: glmnet_5.0.tar.gz Windows binaries: r-devel: glmnet_5.0.zip , r-release: glmnet_5.0.zip , r-oldrel: glmnet_5.0.zip macOS binaries: r-release (arm64): glmnet_5.0.tgz , r-oldrel (arm64): glmnet_5.0.tgz , r-release (x86_64): glmnet_5.0.tgz , r-oldrel (x86_64): glmnet_5.0.tgz Old sources: glmnet archive
Reverse dependencies
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Reverse dependencies
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Reverse depends: adapt4pv , bapred , btml , CBPS , cosso , ctmle , DTRlearn2 , elasso , ensr , gamlss.lasso , gcomputation , GlarmaVarSel , glmnetcr , glmvsd , Grace , HIMA , InvariantCausalPrediction , ipflasso , islasso , KLexp , LogisticEnsembles , mcen , metagenomeSeq , mmabig , MNS , mpath , MRFcov , MTPS , MultiGlarmaVarSel , mvs , NBtsVarSel , NumericEnsembles , omada , PAS , personalized , ProSGPV , prototest , RLassoCox , roccv , selectiveInference , sharpPen , SIMMS , sox , tgml , tmle , TSGSIS , uniLasso Reverse imports: a4Base , a4Classif , a4Core , afthd , aglm , alookr , aloom , AMARETTO , amp , AnchorRegression , anoint , ArCo , argo , ARGOS , ARTtransfer , arulesCBA , ASICS , asuri , auxvecLASSO , banditsCI , bbknnR , BeSS , bestglm , biospear , BioUtils , BlockMissingData , BloodCancerMultiOmics2017 , BNrich , bolasso , bonsaiforest , BrainCon , BSPBSS , BulkSignalR , BWGS , c060 , CARBayes , categoryEncodings , CausalMetaR , cbl , CenBAR , CERFIT , changepoints , CICI , CIpostSelect , clusterMI , CNVreg , coca , coda4microbiome , combss , comets , ComICS , Compositional , CondCopulas , conformalInference.multi , ConformalSmallest , ConnectednessApproach , cornet , cossonet , Coxmos , cpfa , CPSM , cpt , cramR , CRE , crossurr , CSCNet , csmpv , customizedTraining , CytoDx , DDL , ddml , debiasedTrialEmulation , DEET , DepInfeR , DevTreatRules , difR , dipw , DLL , DLMRMV , DMRnet , dnr , doc2concrete , drcarlate , drrglm , dtComb , E2E , easy.glmnet , emBayes , EMJMCMC , enetLTS , EnMCB , ENMeval , ePCR , EpidigiR , ER , eshrink , evalITR , EventPointer , eventstream , EZtune , factReg , FADA , fairml , fastcpd , FastRet , fetwfe , FGLMtrunc , FindIt , FindIT2 , finnts , FLAME , flassomsm , flexBART , FLORAL , FluxPoint , forestsearch , funcml , FunctanSNP , fuser , gapclosing , GAprediction , GEInfo , ggmix , glmnetr , glmnetSE , glmnetUtils , glmSparseNet , glmtrans , GMDH2 , GMSimpute , gofar , goffda , graphicalExtremes , graphicalVAR , GRSxE ,
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[{"label":"https://CRAN.R-project.org/package=glmnet","section":"","type":"","url":"https://CRAN.R-project.org/package=glmnet"}]
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Materials 2
READMENEWS
Documentation 20
glmnet.htmlglmnet.pdfRegularized Cox RegressionsourceR codeComputations for Cox RegressionsourceR codeA History of glmnetsourceR codeAn Introduction to glmnetsourceR codeThe family Argument for glmnetsourceR codeThe Relaxed LassosourceR code
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Regularized Cox RegressionsourceR codeComputations for Cox RegressionsourceR codeA History of glmnetsourceR codeAn Introduction to glmnetsourceR codeThe family Argument for glmnetsourceR codeThe Relaxed LassosourceR code
Downloads 9
glmnet_5.0.tar.gzglmnet_5.0.zipglmnet_5.0.zipglmnet_5.0.zipglmnet_5.0.tgzglmnet_5.0.tgzglmnet_5.0.tgzglmnet_5.0.tgzglmnet archive
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MatrixmethodsutilsforeachshapesurvivalRcppRcppEigenknitrlarsnnettestthatxfunrmarkdown10.32614/CRAN.package.glmnetGPL-2https://glmnet.stanford.eduglmnet citation infoREADMENEWSMachineLearningSurvivalglmnet resultsglmnet.htmlglmnet.pdfRegularized Cox RegressionsourceR codeComputations for Cox RegressionsourceR codeA History of glmnetsourceR codeAn Introduction to glmnetsourceR codeThe family Argument for glmnetsourceR codeThe Relaxed LassosourceR codeglmnet_5.0.tar.gzglmnet_5.0.zipglmnet_5.0.zipglmnet_5.0.zipglmnet_5.0.tgzglmnet_5.0.tgzglmnet_5.0.tgzglmnet_5.0.tgzglmnet archiveadapt4pvbapredbtmlCBPScossoctmleDTRlearn2elassoensrgamlss.lassogcomputationGlarmaVarSelglmnetcrglmvsdGraceHIMAInvariantCausalPredictionipflassoislassoKLexpa4Basea4Classifa4CoreafthdaglmalookraloomAMARETTOampAnchorRegressionanointArCoargoARGOSARTtransferarulesCBAASICSasuriauxvecLASSObanditsCIanimalculesaorsfautostatsBAGofTbamlssbblbcabootbiglassobigstatsrBiodiversityRbioLeakbroomCanonicalFamilyExtracaretEnsemblecasebasecasescatdatacensoredcgamCimpleGpredictionvipLogisticEnsemblesmcenmetagenomeSeqmmabigMNSmpath

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Machine Learning & Statistical Learning · 2026-05-30Survival Analysis · 2026-05-30