glmnetr

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / glmnetr

glmnetr

v0.6-3
Repository CRANLicense GPL-3Lifecycle activeNeeds compilation no
Package pageReferenceSourceDOI
DOI
10.32614/CRAN.package.glmnetr

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

0
표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.6-3
License
GPL-3
Lifecycle
active
Needs compilation
no
Last observed
2026-06-23
CRAN
cran.r-project.org/package=glmnetr

수집 소스별 패키지 정보

1개 소스
CRAN
0.6-3
2026-06-23
License
GPL-3
Depends
R (>= 3.4.0)
Imports
glmnet, survival, Matrix, xgboost, smoof, mlrMBO, ParamHelpers, randomForestSRC, rpart, torch, aorsf
Suggests
R.rsp
Needs compilation
no
Lifecycle
active
Last observed
2026-06-23 19:50:20

이 패키지가 의존하는 패키지

5개 표시전체 12개
PackageTypeSpec
aorsf
CRAN · 0.6-3 · 2026-06-23
Importsaorsf
glmnet
CRAN · 0.6-3 · 2026-06-23
Importsglmnet
Matrix
CRAN · 0.6-3 · 2026-06-23
ImportsMatrix
mlrMBO
CRAN · 0.6-3 · 2026-06-23
ImportsmlrMBO
ParamHelpers
CRAN · 0.6-3 · 2026-06-23
ImportsParamHelpers
1 / 3

이 패키지를 쓰는 패키지

0개 표시전체 0개
PackageTypeSpec
표시할 dependency edge가 없습니다.
1 / 1

패키지 페이지

All links
40
Repository
CRAN
Version
0.6-3
Collected
2026-05-25 11:39:24
Package page
https://cran.r-project.org/web/packages/glmnetr/index.html
DOI
10.32614/CRAN.package.glmnetr
CRAN checks
https://cran.r-project.org/web/checks/check_results_glmnetr.html
Reference HTML
https://cran.r-project.org/web/packages/glmnetr/refman/glmnetr.html
Reference PDF
https://cran.r-project.org/web/packages/glmnetr/glmnetr.pdf
Source package
https://cran.r-project.org/src/contrib/glmnetr_0.6-3.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/glmnetr
Page fields
Author
Walter K Kremers [aut, cre], Nicholas B Larson [ctb]
CRAN Checks
glmnetr results
Copyright
Mayo Foundation for Medical Education and Research
DOI
10.32614/CRAN.package.glmnetr
License
GPL-3
Maintainer
Walter K Kremers <kremers.walter at mayo.edu>
NeedsCompilation
no
Old Sources
glmnetr archive
Package Source
glmnetr_0.6-3.tar.gz
Published
2025-12-16
Reference Manual
glmnetr.html , glmnetr.pdf
Version
0.6-3
Vignettes
An Overview of glmnetr ( source ) Calibration of Machine Learning Models ( source ) Elastic net models ( source ) Ridge and Lasso ( source ) Using ann_tab_cv ( source ) Using stepreg ( source )
Windows Binaries
r-devel: glmnetr_0.6-3.zip , r-release: glmnetr_0.6-3.zip , r-oldrel: glmnetr_0.6-3.zip
MacOS Binaries
r-release (arm64): glmnetr_0.6-3.tgz , r-oldrel (arm64): glmnetr_0.6-3.tgz , r-release (x86_64): glmnetr_0.6-3.tgz , r-oldrel (x86_64): glmnetr_0.6-3.tgz
Version
0.6-3
Published
2025-12-16
DOI
10.32614/CRAN.package.glmnetr
10.32614/CRAN.package.glmnetr
Author
Walter K Kremers [aut, cre], Nicholas B Larson [ctb]
https://orcid.org/0000-0001-5714-3473
Maintainer
Walter K Kremers <kremers.walter at mayo.edu>
License
GPL-3
GPL-3
Copyright
Mayo Foundation for Medical Education and Research
NeedsCompilation
no
CRAN Checks
glmnetr results
glmnetr results
Reference Manual
glmnetr.html , glmnetr.pdf
glmnetr.htmlglmnetr.pdf
Vignettes
An Overview of glmnetr ( source ) Calibration of Machine Learning Models ( source ) Elastic net models ( source ) Ridge and Lasso ( source ) Using ann_tab_cv ( source ) Using stepreg ( source )
An Overview of glmnetrsourceCalibration of Machine Learning ModelssourceElastic net modelssourceRidge and LassosourceUsing ann_tab_cvsourceUsing stepregsource
Package Source
glmnetr_0.6-3.tar.gz
glmnetr_0.6-3.tar.gz
Windows Binaries
r-devel: glmnetr_0.6-3.zip , r-release: glmnetr_0.6-3.zip , r-oldrel: glmnetr_0.6-3.zip
glmnetr_0.6-3.zipglmnetr_0.6-3.zipglmnetr_0.6-3.zip
MacOS Binaries
r-release (arm64): glmnetr_0.6-3.tgz , r-oldrel (arm64): glmnetr_0.6-3.tgz , r-release (x86_64): glmnetr_0.6-3.tgz , r-oldrel (x86_64): glmnetr_0.6-3.tgz
glmnetr_0.6-3.tgzglmnetr_0.6-3.tgzglmnetr_0.6-3.tgzglmnetr_0.6-3.tgz
Old Sources
glmnetr archive
glmnetr archive
Page sections 3
Documentation
Heading
Documentation
Links
[{"label":"glmnetr.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/refman/glmnetr.html"},{"label":"glmnetr.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/glmnetr.pdf"},{"label":"An Overview of glmnetr","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/An_Overview_of_glmnetr_250818.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/An_Overview_of_glmnetr_250818.pdf.asis"},{"label":"Calibration of Machine Learning Models","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/Calibration_250818.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/Calibration_250818.pdf.asis"},{"label":"Elastic net models","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/Elastic_net_models_250818.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/Elastic_net_models_250818.pdf.asis"},{"label":"Ridge and Lasso","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/Ridge_and_Lasso_250818.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/Ridge_and_Lasso_250818.pdf.asis"},{"label":"Using ann_tab_cv","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/Using_ann_tab_cv_250818.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/Using_ann_tab_cv_250818.pdf.asis"},{"label":"Using stepreg","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/Using_stepreg_250818.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/glmnetr/vignettes/Using_stepreg_250818.pdf.asis"}]
Text
Reference manual: glmnetr.html , glmnetr.pdf Vignettes: An Overview of glmnetr ( source ) Calibration of Machine Learning Models ( source ) Elastic net models ( source ) Ridge and Lasso ( source ) Using ann_tab_cv ( source ) Using stepreg ( source )
Downloads
Heading
Downloads
Links
[{"label":"glmnetr_0.6-3.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/glmnetr_0.6-3.tar.gz"},{"label":"glmnetr_0.6-3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/glmnetr_0.6-3.zip"},{"label":"glmnetr_0.6-3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/glmnetr_0.6-3.zip"},{"label":"glmnetr_0.6-3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/glmnetr_0.6-3.zip"},{"label":"glmnetr_0.6-3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/glmnetr_0.6-3.tgz"},{"label":"glmnetr_0.6-3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/glmnetr_0.6-3.tgz"},{"label":"glmnetr_0.6-3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/glmnetr_0.6-3.tgz"},{"label":"glmnetr_0.6-3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/glmnetr_0.6-3.tgz"},{"label":"glmnetr archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/glmnetr"}]
Text
Package source: glmnetr_0.6-3.tar.gz Windows binaries: r-devel: glmnetr_0.6-3.zip , r-release: glmnetr_0.6-3.zip , r-oldrel: glmnetr_0.6-3.zip macOS binaries: r-release (arm64): glmnetr_0.6-3.tgz , r-oldrel (arm64): glmnetr_0.6-3.tgz , r-release (x86_64): glmnetr_0.6-3.tgz , r-oldrel (x86_64): glmnetr_0.6-3.tgz Old sources: glmnetr archive
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=glmnetr","section":"","type":"","url":"https://CRAN.R-project.org/package=glmnetr"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=glmnetr to link to this page.
Documentation 14
glmnetr.htmlglmnetr.pdfAn Overview of glmnetrsourceCalibration of Machine Learning ModelssourceElastic net modelssourceRidge and LassosourceUsing ann_tab_cvsourceUsing stepregsource
Vignettes 12
An Overview of glmnetrsourceCalibration of Machine Learning ModelssourceElastic net modelssourceRidge and LassosourceUsing ann_tab_cvsourceUsing stepregsource
Downloads 9
glmnetr_0.6-3.tar.gzglmnetr_0.6-3.zipglmnetr_0.6-3.zipglmnetr_0.6-3.zipglmnetr_0.6-3.tgzglmnetr_0.6-3.tgzglmnetr_0.6-3.tgzglmnetr_0.6-3.tgzglmnetr archive
All page links 40
glmnetsurvivalMatrixxgboostsmoofmlrMBOParamHelpersrandomForestSRCrparttorchaorsfR.rsp10.32614/CRAN.package.glmnetrhttps://orcid.org/0000-0001-5714-3473GPL-3glmnetr resultsglmnetr.htmlglmnetr.pdfAn Overview of glmnetrsourceCalibration of Machine Learning ModelssourceElastic net modelssourceRidge and LassosourceUsing ann_tab_cvsourceUsing stepregsourceglmnetr_0.6-3.tar.gzglmnetr_0.6-3.zipglmnetr_0.6-3.zipglmnetr_0.6-3.zipglmnetr_0.6-3.tgzglmnetr_0.6-3.tgzglmnetr_0.6-3.tgzglmnetr_0.6-3.tgzglmnetr archivehttps://CRAN.R-project.org/package=glmnetr

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.6-22025-08-192026-05-312026-05-31
CRAN0.6-12025-05-102026-05-312026-05-31
CRAN0.5-52025-01-172026-05-312026-05-31
CRAN0.5-42024-10-242026-05-312026-05-31
CRAN0.5-32024-08-282026-05-312026-05-31
CRAN0.5-22024-07-122026-05-312026-05-31
CRAN0.5-12024-05-122026-05-312026-05-31
CRAN0.4-62024-04-212026-05-312026-05-31
CRAN0.4-52024-04-202026-05-312026-05-31
CRAN0.4-42024-03-232026-05-312026-05-31
CRAN0.4-32024-03-042026-05-312026-05-31
CRAN0.4-22024-02-092026-05-312026-05-31
CRAN0.4-12024-01-092026-05-312026-05-31
CRAN0.3-12023-08-102026-05-312026-05-31
CRAN0.2-12023-06-072026-05-312026-05-31
CRAN0.2-02023-05-102026-05-312026-05-31
CRAN0.1-22023-02-182026-05-312026-05-31
CRAN0.1-12022-12-142026-05-312026-05-31
CRAN0.6-32026-06-012026-06-23

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.