lightgbm

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / lightgbm

lightgbm

v4.6.0
lightgbm
Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADME
DOI
10.32614/CRAN.package.lightgbm
Task views
Machine Learning & Statistical Learning, Model Deployment with R
Reverse imports
427

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Task views
Machine Learning & Statistical Learning, Model Deployment with R
Reverse imports
427

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

1
D
data.table
Imports

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
4.6.0
License
MIT + file LICENSE
Lifecycle
active
Needs compilation
yes
Reverse imports
427
Last observed
2026-05-30
CRAN
cran.r-project.org/package=lightgbm

수집 소스별 패키지 정보

1개 소스
CRAN
4.6.0
2026-05-30
License
MIT + file LICENSE
Depends
R (>= 3.5)
Imports
R6 (>= 2.0), data.table (>= 1.9.6), graphics, jsonlite (>= 1.0), Matrix (>= 1.1-0), methods, parallel, utils
Suggests
knitr, markdown, RhpcBLASctl, testthat
Needs compilation
yes
Reverse imports
427
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 12개
PackageTypeSpec
data.table
CRAN · 4.6.0 · 2026-05-30
Importsdata.table (>= 1.9.6)
graphics
CRAN · 4.6.0 · 2026-05-30
Importsgraphics
jsonlite
CRAN · 4.6.0 · 2026-05-30
Importsjsonlite (>= 1.0)
Matrix
CRAN · 4.6.0 · 2026-05-30
ImportsMatrix (>= 1.1-0)
methods
CRAN · 4.6.0 · 2026-05-30
Importsmethods
1 / 3

이 패키지를 쓰는 패키지

5개 표시전체 33개
PackageTypeSpec
cbl
0.1.3
CRAN · 2026-05-30
Importslightgbm
FoRecoML
1.0.0
CRAN · 2026-05-30
Importslightgbm
funcml
0.7.1
CRAN · 2026-05-30
Importslightgbm
MFF
0.2.0
CRAN · 2026-05-30
Importslightgbm
misspi
0.1.1
CRAN · 2026-05-30
Importslightgbm
1 / 7

Reverse dependency summary

3 types
TypePackages
Imports11
Suggests19
Enhances3

패키지 페이지

Reverse imports
22
Reverse suggests
38
Reverse enhances
6
All links
69
Repository
CRAN
Version
4.6.0
Collected
2026-05-27 17:31:22
Package page
https://cran.r-project.org/web/packages/lightgbm/index.html
DOI
10.32614/CRAN.package.lightgbm
CRAN checks
https://cran.r-project.org/web/checks/check_results_lightgbm.html
README
https://cran.r-project.org/web/packages/lightgbm/readme/README.html
Reference HTML
https://cran.r-project.org/web/packages/lightgbm/refman/lightgbm.html
Reference PDF
https://cran.r-project.org/web/packages/lightgbm/lightgbm.pdf
Source package
https://cran.r-project.org/src/contrib/lightgbm_4.6.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/lightgbm
In views
MachineLearningModelDeployment
Page fields
Author
Yu Shi [aut], Guolin Ke [aut], Damien Soukhavong [aut], James Lamb [aut, cre], Qi Meng [aut], Thomas Finley [aut], Taifeng Wang [aut], Wei Chen [aut], Weidong Ma [aut], Qiwei Ye [aut], Tie-Yan Liu [aut], Nikita Titov [aut], Yachen Yan [ctb], Microsoft Corporation [cph], Dropbox, Inc. [cph], Alberto Ferreira [ctb], Daniel Lemire [ctb], Victor Zverovich [cph], IBM Corporation [ctb], David Cortes [aut], Michael Mayer [ctb]
BugReports
https://github.com/Microsoft/LightGBM/issues
CRAN Checks
lightgbm results
DOI
10.32614/CRAN.package.lightgbm
In Views
MachineLearning , ModelDeployment
License
MIT + file LICENSE
Maintainer
James Lamb <jaylamb20 at gmail.com>
Materials
README
NeedsCompilation
yes
Old Sources
lightgbm archive
Package Source
lightgbm_4.6.0.tar.gz
Published
2025-02-13
Reference Manual
lightgbm.html , lightgbm.pdf
Reverse Enhances
fastshap , shapviz , vip
Reverse Imports
cbl , FoRecoML , funcml , MFF , misspi , mlS3 , predhy , predhy.GUI , qshap , sae.projection , ubair
Reverse Suggests
bonsai , BORG , comets , e2tree , EIX , fastml , interflex , ml , mllrnrs , orbital , PatientLevelPrediction , qeML , r2pmml , rtemis , SHAPforxgboost , sits , stackgbm , tidypredict , treeshap
SystemRequirements
C++17
URL
https://github.com/Microsoft/LightGBM
Version
4.6.0
Vignettes
Basic Walkthrough ( source , R code )
Windows Binaries
r-devel: lightgbm_4.6.0.zip , r-release: lightgbm_4.6.0.zip , r-oldrel: lightgbm_4.6.0.zip
MacOS Binaries
r-release (arm64): lightgbm_4.6.0.tgz , r-oldrel (arm64): lightgbm_4.6.0.tgz , r-release (x86_64): lightgbm_4.6.0.tgz , r-oldrel (x86_64): lightgbm_4.6.0.tgz
Version
4.6.0
Published
2025-02-13
DOI
10.32614/CRAN.package.lightgbm
10.32614/CRAN.package.lightgbm
Author
Yu Shi [aut], Guolin Ke [aut], Damien Soukhavong [aut], James Lamb [aut, cre], Qi Meng [aut], Thomas Finley [aut], Taifeng Wang [aut], Wei Chen [aut], Weidong Ma [aut], Qiwei Ye [aut], Tie-Yan Liu [aut], Nikita Titov [aut], Yachen Yan [ctb], Microsoft Corporation [cph], Dropbox, Inc. [cph], Alberto Ferreira [ctb], Daniel Lemire [ctb], Victor Zverovich [cph], IBM Corporation [ctb], David Cortes [aut], Michael Mayer [ctb]
Maintainer
James Lamb <jaylamb20 at gmail.com>
BugReports
https://github.com/Microsoft/LightGBM/issues
https://github.com/Microsoft/LightGBM/issues
License
MIT + file LICENSE
MITLICENSE
URL
https://github.com/Microsoft/LightGBM
https://github.com/Microsoft/LightGBM
NeedsCompilation
yes
SystemRequirements
C++17
Materials
README
README
In Views
MachineLearning , ModelDeployment
MachineLearningModelDeployment
CRAN Checks
lightgbm results
lightgbm results
Reference Manual
lightgbm.html , lightgbm.pdf
lightgbm.htmllightgbm.pdf
Vignettes
Basic Walkthrough ( source , R code )
Basic WalkthroughsourceR code
Package Source
lightgbm_4.6.0.tar.gz
lightgbm_4.6.0.tar.gz
Windows Binaries
r-devel: lightgbm_4.6.0.zip , r-release: lightgbm_4.6.0.zip , r-oldrel: lightgbm_4.6.0.zip
lightgbm_4.6.0.ziplightgbm_4.6.0.ziplightgbm_4.6.0.zip
MacOS Binaries
r-release (arm64): lightgbm_4.6.0.tgz , r-oldrel (arm64): lightgbm_4.6.0.tgz , r-release (x86_64): lightgbm_4.6.0.tgz , r-oldrel (x86_64): lightgbm_4.6.0.tgz
lightgbm_4.6.0.tgzlightgbm_4.6.0.tgzlightgbm_4.6.0.tgzlightgbm_4.6.0.tgz
Old Sources
lightgbm archive
lightgbm archive
Reverse Imports
cbl , FoRecoML , funcml , MFF , misspi , mlS3 , predhy , predhy.GUI , qshap , sae.projection , ubair
cblFoRecoMLfuncmlMFFmisspimlS3predhypredhy.GUIqshapsae.projectionubair
Reverse Suggests
bonsai , BORG , comets , e2tree , EIX , fastml , interflex , ml , mllrnrs , orbital , PatientLevelPrediction , qeML , r2pmml , rtemis , SHAPforxgboost , sits , stackgbm , tidypredict , treeshap
bonsaiBORGcometse2treeEIXfastmlinterflexmlmllrnrsorbitalPatientLevelPredictionqeMLr2pmmlrtemisSHAPforxgboostsitsstackgbmtidypredicttreeshap
Reverse Enhances
fastshap , shapviz , vip
fastshapshapvizvip
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"lightgbm.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/lightgbm/refman/lightgbm.html"},{"label":"lightgbm.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/lightgbm/lightgbm.pdf"},{"label":"Basic Walkthrough","section":"","type":"","url":"https://cran.r-project.org/web/packages/lightgbm/vignettes/basic_walkthrough.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/lightgbm/vignettes/basic_walkthrough.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/lightgbm/vignettes/basic_walkthrough.R"}]
Text
Reference manual: lightgbm.html , lightgbm.pdf Vignettes: Basic Walkthrough ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"lightgbm_4.6.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/lightgbm_4.6.0.tar.gz"},{"label":"lightgbm_4.6.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/lightgbm_4.6.0.zip"},{"label":"lightgbm_4.6.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/lightgbm_4.6.0.zip"},{"label":"lightgbm_4.6.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/lightgbm_4.6.0.zip"},{"label":"lightgbm_4.6.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/lightgbm_4.6.0.tgz"},{"label":"lightgbm_4.6.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/lightgbm_4.6.0.tgz"},{"label":"lightgbm_4.6.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/lightgbm_4.6.0.tgz"},{"label":"lightgbm_4.6.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/lightgbm_4.6.0.tgz"},{"label":"lightgbm archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/lightgbm"}]
Text
Package source: lightgbm_4.6.0.tar.gz Windows binaries: r-devel: lightgbm_4.6.0.zip , r-release: lightgbm_4.6.0.zip , r-oldrel: lightgbm_4.6.0.zip macOS binaries: r-release (arm64): lightgbm_4.6.0.tgz , r-oldrel (arm64): lightgbm_4.6.0.tgz , r-release (x86_64): lightgbm_4.6.0.tgz , r-oldrel (x86_64): lightgbm_4.6.0.tgz Old sources: lightgbm archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"cbl","section":"","type":"","url":"https://cran.r-project.org/web/packages/cbl/index.html"},{"label":"FoRecoML","section":"","type":"","url":"https://cran.r-project.org/web/packages/FoRecoML/index.html"},{"label":"funcml","section":"","type":"","url":"https://cran.r-project.org/web/packages/funcml/index.html"},{"label":"MFF","section":"","type":"","url":"https://cran.r-project.org/web/packages/MFF/index.html"},{"label":"misspi","section":"","type":"","url":"https://cran.r-project.org/web/packages/misspi/index.html"},{"label":"mlS3","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlS3/index.html"},{"label":"predhy","section":"","type":"","url":"https://cran.r-project.org/web/packages/predhy/index.html"},{"label":"predhy.GUI","section":"","type":"","url":"https://cran.r-project.org/web/packages/predhy.GUI/index.html"},{"label":"qshap","section":"","type":"","url":"https://cran.r-project.org/web/packages/qshap/index.html"},{"label":"sae.projection","section":"","type":"","url":"https://cran.r-project.org/web/packages/sae.projection/index.html"},{"label":"ubair","section":"","type":"","url":"https://cran.r-project.org/web/packages/ubair/index.html"},{"label":"bonsai","section":"","type":"","url":"https://cran.r-project.org/web/packages/bonsai/index.html"},{"label":"BORG","section":"","type":"","url":"https://cran.r-project.org/web/packages/BORG/index.html"},{"label":"comets","section":"","type":"","url":"https://cran.r-project.org/web/packages/comets/index.html"},{"label":"e2tree","section":"","type":"","url":"https://cran.r-project.org/web/packages/e2tree/index.html"},{"label":"EIX","section":"","type":"","url":"https://cran.r-project.org/web/packages/EIX/index.html"},{"label":"fastml","section":"","type":"","url":"https://cran.r-project.org/web/packages/fastml/index.html"},{"label":"interflex","section":"","type":"","url":"https://cran.r-project.org/web/packages/interflex/index.html"},{"label":"ml","section":"","type":"","url":"https://cran.r-project.org/web/packages/ml/index.html"},{"label":"mllrnrs","section":"","type":"","url":"https://cran.r-project.org/web/packages/mllrnrs/index.html"}]
Text
Reverse imports: cbl , FoRecoML , funcml , MFF , misspi , mlS3 , predhy , predhy.GUI , qshap , sae.projection , ubair Reverse suggests: bonsai , BORG , comets , e2tree , EIX , fastml , interflex , ml , mllrnrs , orbital , PatientLevelPrediction , qeML , r2pmml , rtemis , SHAPforxgboost , sits , stackgbm , tidypredict , treeshap Reverse enhances: fastshap , shapviz , vip
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=lightgbm","section":"","type":"","url":"https://CRAN.R-project.org/package=lightgbm"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=lightgbm to link to this page.
Materials 1
README
Documentation 5
lightgbm.htmllightgbm.pdfBasic WalkthroughsourceR code
Vignettes 3
Basic WalkthroughsourceR code
Downloads 9
lightgbm_4.6.0.tar.gzlightgbm_4.6.0.ziplightgbm_4.6.0.ziplightgbm_4.6.0.ziplightgbm_4.6.0.tgzlightgbm_4.6.0.tgzlightgbm_4.6.0.tgzlightgbm_4.6.0.tgzlightgbm archive
All page links 69
R6data.tablegraphicsjsonliteMatrixmethodsparallelutilsknitrmarkdownRhpcBLASctltestthat10.32614/CRAN.package.lightgbmhttps://github.com/Microsoft/LightGBM/issuesMITLICENSEhttps://github.com/Microsoft/LightGBMREADMEMachineLearningModelDeploymentlightgbm resultslightgbm.htmllightgbm.pdfBasic WalkthroughsourceR codelightgbm_4.6.0.tar.gzlightgbm_4.6.0.ziplightgbm_4.6.0.ziplightgbm_4.6.0.ziplightgbm_4.6.0.tgzlightgbm_4.6.0.tgzlightgbm_4.6.0.tgzlightgbm_4.6.0.tgzlightgbm archivecblFoRecoMLfuncmlMFFmisspimlS3predhypredhy.GUIqshapsae.projectionubairbonsaiBORGcometse2treeEIXfastmlinterflexmlmllrnrsorbitalPatientLevelPredictionqeMLr2pmmlrtemisSHAPforxgboostsitsstackgbmtidypredicttreeshapfastshapshapvizviphttps://CRAN.R-project.org/package=lightgbm

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN4.6.02026-05-292026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Machine Learning & Statistical Learning · 2026-05-30Model Deployment with R · 2026-05-30