gbm

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / gbm

gbm

v2.2.3
Repository CRANLicense GPL (>= 2) | file LICENSELifecycle activeNeeds compilation yes
Package pageReferenceSourceDOIREADMENEWS
DOI
10.32614/CRAN.package.gbm
Task views
Machine Learning & Statistical Learning, Survival Analysis
Reverse imports
2,130
Reverse depends
158

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Machine Learning & Statistical Learning, Survival Analysis
Reverse imports
2,130
Reverse depends
158

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
2.2.3
License
GPL (>= 2) | file LICENSE
Lifecycle
active
Needs compilation
yes
Reverse depends
158
Reverse imports
2,130
Last observed
2026-05-30
CRAN
cran.r-project.org/package=gbm

수집 소스별 패키지 정보

1개 소스
CRAN
2.2.3
2026-05-30
License
GPL (>= 2) | file LICENSE
Depends
R (>= 2.9.0)
Imports
lattice, parallel, survival
Suggests
covr, gridExtra, knitr, pdp, RUnit, splines, tinytest, vip, viridis, MASS
Needs compilation
yes
Reverse depends
158
Reverse imports
2,130
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 13개
PackageTypeSpec
lattice
CRAN · 2.2.3 · 2026-05-30
Importslattice
parallel
CRAN · 2.2.3 · 2026-05-30
Importsparallel
survival
CRAN · 2.2.3 · 2026-05-30
Importssurvival
covr
CRAN · 2.2.3 · 2026-05-30
Suggestscovr
gridExtra
CRAN · 2.2.3 · 2026-05-30
SuggestsgridExtra
1 / 3

이 패키지를 쓰는 패키지

5개 표시전체 103개
PackageTypeSpec
gbm2sas
4.0
CRAN · 2026-05-30
Dependsgbm
LogisticEnsembles
1.0.2
CRAN · 2026-05-30
Dependsgbm
mma
10.8-1
CRAN · 2026-05-30
Dependsgbm
NumericEnsembles
1.2
CRAN · 2026-05-30
Dependsgbm
aihuman
1.0.1
CRAN · 2026-05-30
Importsgbm
1 / 21

Reverse dependency summary

4 types
TypePackages
Depends4
Imports54
Suggests44
Enhances1

패키지 페이지

Reverse depends
8
Reverse imports
114
Reverse suggests
90
Reverse enhances
2
All links
146
Repository
CRAN
Version
2.2.3
Collected
2026-05-24 22:34:12
Package page
https://cran.r-project.org/web/packages/gbm/index.html
DOI
10.32614/CRAN.package.gbm
CRAN checks
https://cran.r-project.org/web/checks/check_results_gbm.html
README
https://cran.r-project.org/web/packages/gbm/readme/README.html
NEWS
https://cran.r-project.org/web/packages/gbm/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/gbm/refman/gbm.html
Reference PDF
https://cran.r-project.org/web/packages/gbm/gbm.pdf
Source package
https://cran.r-project.org/src/contrib/gbm_2.2.3.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/gbm
In views
MachineLearningSurvival
Page fields
Author
Greg Ridgeway [aut, cre], Daniel Edwards [ctb], Brian Kriegler [ctb], Stefan Schroedl [ctb], Harry Southworth [ctb], Brandon Greenwell [ctb], Bradley Boehmke [ctb], Jay Cunningham [ctb], GBM Developers [aut] (https://github.com/gbm-developers)
BugReports
https://github.com/gbm-developers/gbm/issues
CRAN Checks
gbm results
DOI
10.32614/CRAN.package.gbm
In Views
MachineLearning , Survival
License
GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
Maintainer
Greg Ridgeway <gridge at upenn.edu>
Materials
README , NEWS
NeedsCompilation
yes
Old Sources
gbm archive
Package Source
gbm_2.2.3.tar.gz
Published
2026-01-22
Reference Manual
gbm.html , gbm.pdf
Reverse Depends
gbm2sas , LogisticEnsembles , mma , NumericEnsembles
Reverse Enhances
vip
Reverse Imports
aihuman , ARTtransfer , biomod2 , bonsaiforest , branchpointer , bst , bujar , CoxAIPW , CRE , crispRdesignR , crossurr , cytofQC , E2E , ecospat , enmSdmX , EpiSemble , evalITR , EZtune , funcml , GB5mcPred , gbm.auto , gbts , i3pack , IPMRF , lilikoi , MEGB , metaEnsembleR , MLInterfaces , mob , mvGPS , nadir , OpEnHiMR , paths , pomodoro , precmed , PSweight , qeML , ranktreeEnsemble , regressoR , rgnoisefilt , ROOT , RSDA , scorecardModelUtils , SDMtune , spm , spm2 , SSDM , tidylearn , traineR , tsensembler , twang , twangContinuous , twangMediation , varPro , visualpred , WaveletGBM , xgrove
Reverse Suggests
BiodiversityR , caretEnsemble , caretSDM , cdgd , ciu , CMA , cobalt , condvis2 , countSTAR , cramR , DALEXtra , DeepLearningCausal , dismo , DrData , dynamicSDM , e2tree , fairmodels , imputeR , insight , MachineShop , MatchIt , mboost , mlr , mpae , nestedcv , npcs , OpEnCAST , optweight , pdp , plotmo , pminternal , pmml , posterior , psborrow2 , riskRegression , rSAFE , shapr , subsemble , SuperLearner , SuperSurv , survex , treeshap , vivid , WeightIt , writeAlizer
URL
https://github.com/gbm-developers/gbm
Version
2.2.3
Vignettes
Generalized Boosted Models: A guide to the gbm package ( source )
Windows Binaries
r-devel: gbm_2.2.3.zip , r-release: gbm_2.2.3.zip , r-oldrel: gbm_2.2.3.zip
MacOS Binaries
r-release (arm64): gbm_2.2.3.tgz , r-oldrel (arm64): gbm_2.2.3.tgz , r-release (x86_64): gbm_2.2.3.tgz , r-oldrel (x86_64): gbm_2.2.3.tgz
Version
2.2.3
Published
2026-01-22
DOI
10.32614/CRAN.package.gbm
10.32614/CRAN.package.gbm
Author
Greg Ridgeway [aut, cre], Daniel Edwards [ctb], Brian Kriegler [ctb], Stefan Schroedl [ctb], Harry Southworth [ctb], Brandon Greenwell [ctb], Bradley Boehmke [ctb], Jay Cunningham [ctb], GBM Developers [aut] (https://github.com/gbm-developers)
https://orcid.org/0000-0001-6911-0804https://orcid.org/0000-0002-8120-0084https://orcid.org/0000-0002-3611-8516
Maintainer
Greg Ridgeway <gridge at upenn.edu>
BugReports
https://github.com/gbm-developers/gbm/issues
https://github.com/gbm-developers/gbm/issues
License
GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
GPL-2GPL-3LICENSE
URL
https://github.com/gbm-developers/gbm
https://github.com/gbm-developers/gbm
NeedsCompilation
yes
Materials
README , NEWS
READMENEWS
In Views
MachineLearning , Survival
MachineLearningSurvival
CRAN Checks
gbm results
gbm results
Reference Manual
gbm.html , gbm.pdf
gbm.htmlgbm.pdf
Vignettes
Generalized Boosted Models: A guide to the gbm package ( source )
Generalized Boosted Models: A guide to the gbm packagesource
Package Source
gbm_2.2.3.tar.gz
gbm_2.2.3.tar.gz
Windows Binaries
r-devel: gbm_2.2.3.zip , r-release: gbm_2.2.3.zip , r-oldrel: gbm_2.2.3.zip
gbm_2.2.3.zipgbm_2.2.3.zipgbm_2.2.3.zip
MacOS Binaries
r-release (arm64): gbm_2.2.3.tgz , r-oldrel (arm64): gbm_2.2.3.tgz , r-release (x86_64): gbm_2.2.3.tgz , r-oldrel (x86_64): gbm_2.2.3.tgz
gbm_2.2.3.tgzgbm_2.2.3.tgzgbm_2.2.3.tgzgbm_2.2.3.tgz
Old Sources
gbm archive
gbm archive
Reverse Depends
gbm2sas , LogisticEnsembles , mma , NumericEnsembles
gbm2sasLogisticEnsemblesmmaNumericEnsembles
Reverse Imports
aihuman , ARTtransfer , biomod2 , bonsaiforest , branchpointer , bst , bujar , CoxAIPW , CRE , crispRdesignR , crossurr , cytofQC , E2E , ecospat , enmSdmX , EpiSemble , evalITR , EZtune , funcml , GB5mcPred , gbm.auto , gbts , i3pack , IPMRF , lilikoi , MEGB , metaEnsembleR , MLInterfaces , mob , mvGPS , nadir , OpEnHiMR , paths , pomodoro , precmed , PSweight , qeML , ranktreeEnsemble , regressoR , rgnoisefilt , ROOT , RSDA , scorecardModelUtils , SDMtune , spm , spm2 , SSDM , tidylearn , traineR , tsensembler , twang , twangContinuous , twangMediation , varPro , visualpred , WaveletGBM , xgrove
aihumanARTtransferbiomod2bonsaiforestbranchpointerbstbujarCoxAIPWCREcrispRdesignRcrossurrcytofQCE2EecospatenmSdmXEpiSembleevalITREZtunefuncmlGB5mcPred
Reverse Suggests
BiodiversityR , caretEnsemble , caretSDM , cdgd , ciu , CMA , cobalt , condvis2 , countSTAR , cramR , DALEXtra , DeepLearningCausal , dismo , DrData , dynamicSDM , e2tree , fairmodels , imputeR , insight , MachineShop , MatchIt , mboost , mlr , mpae , nestedcv , npcs , OpEnCAST , optweight , pdp , plotmo , pminternal , pmml , posterior , psborrow2 , riskRegression , rSAFE , shapr , subsemble , SuperLearner , SuperSurv , survex , treeshap , vivid , WeightIt , writeAlizer
BiodiversityRcaretEnsemblecaretSDMcdgdciuCMAcobaltcondvis2countSTARcramRDALEXtraDeepLearningCausaldismoDrDatadynamicSDMe2treefairmodelsimputeRinsightMachineShop
Reverse Enhances
vip
vip
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"gbm.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/gbm/refman/gbm.html"},{"label":"gbm.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/gbm/gbm.pdf"},{"label":"Generalized Boosted Models: A guide to the gbm package","section":"","type":"","url":"https://cran.r-project.org/web/packages/gbm/vignettes/gbm.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/gbm/vignettes/gbm.Rnw"}]
Text
Reference manual: gbm.html , gbm.pdf Vignettes: Generalized Boosted Models: A guide to the gbm package ( source )
Downloads
Heading
Downloads
Links
[{"label":"gbm_2.2.3.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/gbm_2.2.3.tar.gz"},{"label":"gbm_2.2.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/gbm_2.2.3.zip"},{"label":"gbm_2.2.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/gbm_2.2.3.zip"},{"label":"gbm_2.2.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/gbm_2.2.3.zip"},{"label":"gbm_2.2.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/gbm_2.2.3.tgz"},{"label":"gbm_2.2.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/gbm_2.2.3.tgz"},{"label":"gbm_2.2.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/gbm_2.2.3.tgz"},{"label":"gbm_2.2.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/gbm_2.2.3.tgz"},{"label":"gbm archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/gbm"}]
Text
Package source: gbm_2.2.3.tar.gz Windows binaries: r-devel: gbm_2.2.3.zip , r-release: gbm_2.2.3.zip , r-oldrel: gbm_2.2.3.zip macOS binaries: r-release (arm64): gbm_2.2.3.tgz , r-oldrel (arm64): gbm_2.2.3.tgz , r-release (x86_64): gbm_2.2.3.tgz , r-oldrel (x86_64): gbm_2.2.3.tgz Old sources: gbm archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"gbm2sas","section":"","type":"","url":"https://cran.r-project.org/web/packages/gbm2sas/index.html"},{"label":"LogisticEnsembles","section":"","type":"","url":"https://cran.r-project.org/web/packages/LogisticEnsembles/index.html"},{"label":"mma","section":"","type":"","url":"https://cran.r-project.org/web/packages/mma/index.html"},{"label":"NumericEnsembles","section":"","type":"","url":"https://cran.r-project.org/web/packages/NumericEnsembles/index.html"},{"label":"aihuman","section":"","type":"","url":"https://cran.r-project.org/web/packages/aihuman/index.html"},{"label":"ARTtransfer","section":"","type":"","url":"https://cran.r-project.org/web/packages/ARTtransfer/index.html"},{"label":"biomod2","section":"","type":"","url":"https://cran.r-project.org/web/packages/biomod2/index.html"},{"label":"bonsaiforest","section":"","type":"","url":"https://cran.r-project.org/web/packages/bonsaiforest/index.html"},{"label":"branchpointer","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/branchpointer.html"},{"label":"bst","section":"","type":"","url":"https://cran.r-project.org/web/packages/bst/index.html"},{"label":"bujar","section":"","type":"","url":"https://cran.r-project.org/web/packages/bujar/index.html"},{"label":"CoxAIPW","section":"","type":"","url":"https://cran.r-project.org/web/packages/CoxAIPW/index.html"},{"label":"CRE","section":"","type":"","url":"https://cran.r-project.org/web/packages/CRE/index.html"},{"label":"crispRdesignR","section":"","type":"","url":"https://cran.r-project.org/web/packages/crispRdesignR/index.html"},{"label":"crossurr","section":"","type":"","url":"https://cran.r-project.org/web/packages/crossurr/index.html"},{"label":"cytofQC","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/cytofQC.html"},{"label":"E2E","section":"","type":"","url":"https://cran.r-project.org/web/packages/E2E/index.html"},{"label":"ecospat","section":"","type":"","url":"https://cran.r-project.org/web/packages/ecospat/index.html"},{"label":"enmSdmX","section":"","type":"","url":"https://cran.r-project.org/web/packages/enmSdmX/index.html"},{"label":"EpiSemble","section":"","type":"","url":"https://cran.r-project.org/web/packages/EpiSemble/index.html"}]
Text
Reverse depends: gbm2sas , LogisticEnsembles , mma , NumericEnsembles Reverse imports: aihuman , ARTtransfer , biomod2 , bonsaiforest , branchpointer , bst , bujar , CoxAIPW , CRE , crispRdesignR , crossurr , cytofQC , E2E , ecospat , enmSdmX , EpiSemble , evalITR , EZtune , funcml , GB5mcPred , gbm.auto , gbts , i3pack , IPMRF , lilikoi , MEGB , metaEnsembleR , MLInterfaces , mob , mvGPS , nadir , OpEnHiMR , paths , pomodoro , precmed , PSweight , qeML , ranktreeEnsemble , regressoR , rgnoisefilt , ROOT , RSDA , scorecardModelUtils , SDMtune , spm , spm2 , SSDM , tidylearn , traineR , tsensembler , twang , twangContinuous , twangMediation , varPro , visualpred , WaveletGBM , xgrove Reverse suggests: BiodiversityR , caretEnsemble , caretSDM , cdgd , ciu , CMA , cobalt , condvis2 , countSTAR , cramR , DALEXtra , DeepLearningCausal , dismo , DrData , dynamicSDM , e2tree , fairmodels , imputeR , insight , MachineShop , MatchIt , mboost , mlr , mpae , nestedcv , npcs , OpEnCAST , optweight , pdp , plotmo , pminternal , pmml , posterior , psborrow2 , riskRegression , rSAFE , shapr , subsemble , SuperLearner , SuperSurv , survex , treeshap , vivid , WeightIt , writeAlizer Reverse enhances: vip
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=gbm","section":"","type":"","url":"https://CRAN.R-project.org/package=gbm"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=gbm to link to this page.
Materials 2
READMENEWS
Documentation 4
gbm.htmlgbm.pdfGeneralized Boosted Models: A guide to the gbm packagesource
Vignettes 2
Generalized Boosted Models: A guide to the gbm packagesource
Downloads 9
gbm_2.2.3.tar.gzgbm_2.2.3.zipgbm_2.2.3.zipgbm_2.2.3.zipgbm_2.2.3.tgzgbm_2.2.3.tgzgbm_2.2.3.tgzgbm_2.2.3.tgzgbm archive
All page links 120
latticeparallelsurvivalcovrgridExtraknitrpdpRUnitsplinestinytestvipviridisMASS10.32614/CRAN.package.gbmhttps://orcid.org/0000-0001-6911-0804https://orcid.org/0000-0002-8120-0084https://orcid.org/0000-0002-3611-8516https://github.com/gbm-developers/gbm/issuesGPL-2GPL-3LICENSEhttps://github.com/gbm-developers/gbmREADMENEWSMachineLearningSurvivalgbm resultsgbm.htmlgbm.pdfGeneralized Boosted Models: A guide to the gbm packagesourcegbm_2.2.3.tar.gzgbm_2.2.3.zipgbm_2.2.3.zipgbm_2.2.3.zipgbm_2.2.3.tgzgbm_2.2.3.tgzgbm_2.2.3.tgzgbm_2.2.3.tgzgbm archivegbm2sasLogisticEnsemblesmmaNumericEnsemblesaihumanARTtransferbiomod2bonsaiforestbranchpointerbstbujarCoxAIPWCREcrispRdesignRcrossurrcytofQCE2EecospatenmSdmXEpiSembleevalITREZtunefuncmlGB5mcPredBiodiversityRcaretEnsemblecaretSDMcdgdciuCMAcobaltcondvis2countSTARcramRDALEXtraDeepLearningCausaldismoDrDatadynamicSDMe2treefairmodelsimputeRinsightMachineShopgbm.autogbtsi3packIPMRFlilikoiMEGBmetaEnsembleRMLInterfacesmobmvGPSnadirOpEnHiMRpathspomodoroprecmedPSweightqeMLranktreeEnsembleregressoRrgnoisefiltROOTRSDAscorecardModelUtilsSDMtunespmspm2SSDMtidylearntraineRtsensemblertwangtwangContinuoustwangMediationvarProvisualpredWaveletGBM

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN2.2.32026-05-292026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

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