xgboost

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / xgboost

xgboost

v3.2.1.1

xgboost

Repository CRANLicense Apache License (== 2.0) | file LICENSELifecycle activeNeeds compilation yes

Package page Reference Source DOI

DOI

10.32614/CRAN.package.xgboost

Task views

Databases with R, High-Performance and Parallel Computing with R, Machine Learning & Statistical Learning, Model Deployment with R, Survival Analysis

Reverse imports

4,478

Reverse depends

155

Install

설치 방법을 선택하고 바로 복사합니다.

패키지 설치

install.packages("xgboost")

Version

3.2.1.1

R (>= 4.3.0)

License

Apache License (== 2.0) | file LICENSE

Last observed

2026-06-04

Sources

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Task views

Databases with R, High-Performance and Parallel Computing with R, Machine Learning & Statistical Learning 외 2

Reverse imports

4,478

Reverse depends

155

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

data.table

Imports

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

3.2.1.1

License

Apache License (== 2.0) | file LICENSE

Lifecycle

active

Needs compilation

yes

Reverse depends

155

Reverse imports

4,478

Last observed

2026-06-04

CRAN: cran.r-project.org/package=xgboost

수집 소스별 패키지 정보

1개 소스

CRAN

3.2.1.1

2026-06-04

License

Apache License (== 2.0) | file LICENSE

Depends

R (>= 4.3.0)

Imports

Matrix (>= 1.1-0), methods, data.table (>= 1.9.6), jsonlite (>= 1.0)

Suggests

knitr, rmarkdown, ggplot2 (>= 1.0.1), DiagrammeR (>= 0.9.0), DiagrammeRsvg, rsvg, htmlwidgets, Ckmeans.1d.dp (>= 3.3.1), vcd (>= 1.3), testthat, igraph (>= 1.0.1), float, titanic, RhpcBLASctl, survival

Needs compilation

yes

Reverse depends

155

Reverse imports

4,478

Lifecycle

active

Last observed

2026-06-04 01:07:23

이 패키지가 의존하는 패키지

5개 표시전체 19개

Package	Type	Spec
data.table CRAN · 3.2.1.1 · 2026-06-04	Imports	data.table (>= 1.9.6)
jsonlite CRAN · 3.2.1.1 · 2026-06-04	Imports	jsonlite (>= 1.0)
Matrix CRAN · 3.2.1.1 · 2026-06-04	Imports	Matrix (>= 1.1-0)
methods CRAN · 3.2.1.1 · 2026-06-04	Imports	methods
Ckmeans.1d.dp CRAN · 3.2.1.1 · 2026-06-04	Suggests	Ckmeans.1d.dp (>= 3.3.1)
DiagrammeR CRAN · 3.2.1.1 · 2026-06-04	Suggests	DiagrammeR (>= 0.9.0)
DiagrammeRsvg CRAN · 3.2.1.1 · 2026-06-04	Suggests	DiagrammeRsvg
float CRAN · 3.2.1.1 · 2026-06-04	Suggests	float
ggplot2 CRAN · 3.2.1.1 · 2026-06-04	Suggests	ggplot2 (>= 1.0.1)
htmlwidgets CRAN · 3.2.1.1 · 2026-06-04	Suggests	htmlwidgets
igraph CRAN · 3.2.1.1 · 2026-06-04	Suggests	igraph (>= 1.0.1)
knitr CRAN · 3.2.1.1 · 2026-06-04	Suggests	knitr
RhpcBLASctl CRAN · 3.2.1.1 · 2026-06-04	Suggests	RhpcBLASctl
rmarkdown CRAN · 3.2.1.1 · 2026-06-04	Suggests	rmarkdown
rsvg CRAN · 3.2.1.1 · 2026-06-04	Suggests	rsvg
survival CRAN · 3.2.1.1 · 2026-06-04	Suggests	survival
testthat CRAN · 3.2.1.1 · 2026-06-04	Suggests	testthat
titanic CRAN · 3.2.1.1 · 2026-06-04	Suggests	titanic
vcd CRAN · 3.2.1.1 · 2026-06-04	Suggests	vcd (>= 1.3)
검색 결과가 없습니다.

1 / 4

이 패키지를 쓰는 패키지

5개 표시전체 120개

Package	Type	Spec
LogisticEnsembles 1.0.2 CRAN · 2026-06-04	Depends	xgboost
NumericEnsembles 1.2 CRAN · 2026-06-04	Depends	xgboost
PIE 1.0.0 CRAN · 2026-06-04	Depends	xgboost
adapt4pv 0.2-3 CRAN · 2026-06-04	Imports	xgboost
alookr 0.5.1 CRAN · 2026-06-04	Imports	xgboost (>= 3.1.2.1)
audrex 3.0.0 CRAN · 2026-06-04	Imports	xgboost (>= 3.1.2.1)
autoBagging 0.1.0 CRAN · 2026-06-04	Imports	xgboost
autostats 0.4.2 CRAN · 2026-06-04	Imports	xgboost
BioMoR 0.1.1 CRAN · 2026-06-04	Imports	xgboost
BioPred 1.0.2 CRAN · 2026-06-04	Imports	xgboost
CausalGPS 0.5.1 CRAN · 2026-06-04	Imports	xgboost
causalweight 1.1.4 CRAN · 2026-05-18	Imports	xgboost
CCI 0.3.6.1 CRAN · 2026-06-04	Imports	xgboost
CGMissingDataR 0.0.2 CRAN · 2026-06-04	Imports	xgboost
cpfa 1.3.0 CRAN · 2026-06-04	Imports	xgboost
CRE 0.2.7 CRAN · 2026-06-04	Imports	xgboost
csmpv 1.0.5 CRAN · 2026-06-04	Imports	xgboost
CytoProfile 0.2.4 CRAN · 2026-06-04	Imports	xgboost
ddml 0.3.1 CRAN · 2026-06-04	Imports	xgboost
DSAM 1.0.2 CRAN · 2026-06-04	Imports	xgboost
DSWE 1.8.4 CRAN · 2026-06-04	Imports	xgboost (>= 1.7.7.1)
E2E 0.1.3 CRAN · 2026-06-04	Imports	xgboost
EFAfactors 1.2.4 CRAN · 2026-06-04	Imports	xgboost
EHRmuse 0.0.2.2 CRAN · 2026-06-04	Imports	xgboost (>= 1.4.1)
EIX 1.2.1 CRAN · 2026-06-04	Imports	xgboost
fastml 0.7.8 CRAN · 2026-06-04	Imports	xgboost
FastRet 1.3.0 CRAN · 2026-06-04	Imports	xgboost
fastrmodels 2.1.0 CRAN · 2026-06-04	Imports	xgboost (>= 1.1)
FoRecoML 1.0.0 CRAN · 2026-06-04	Imports	xgboost
funcml 0.7.1 CRAN · 2026-06-04	Imports	xgboost
ggscidca 0.2.8 CRAN · 2026-06-04	Imports	xgboost
glmnetr 0.6-3 CRAN · 2026-06-04	Imports	xgboost
HCPclust 0.1.1 CRAN · 2026-06-04	Imports	xgboost
highMLR 1.0.1 CRAN · 2026-06-04	Imports	xgboost
IBLM 1.0.2 CRAN · 2026-06-04	Imports	xgboost (>= 3.1.2.1)
iimi 1.2.2 CRAN · 2026-06-04	Imports	xgboost
imanr 2.0.0 CRAN · 2026-06-04	Imports	xgboost
irboost 0.2-1.1 CRAN · 2026-06-04	Imports	xgboost
IVDML 1.0.1 CRAN · 2026-06-04	Imports	xgboost (>= 3.1.2.1)
latentFactoR 0.0.7 CRAN · 2026-06-04	Imports	xgboost
ldmppr 1.1.3 CRAN · 2026-06-04	Imports	xgboost
LTFGRS 1.0.1 CRAN · 2026-06-04	Imports	xgboost
LTFHPlus 2.2.0 CRAN · 2026-06-04	Imports	xgboost
MBMethPred 0.1.4.4 CRAN · 2026-06-04	Imports	xgboost
MethScope 1.0.1 CRAN · 2026-06-04	Imports	xgboost
MFF 0.2.0 CRAN · 2026-06-04	Imports	xgboost
mikropml 1.7.0 CRAN · 2026-06-04	Imports	xgboost
mixgb 2.2.3 CRAN · 2026-06-04	Imports	xgboost (>= 3.1.2.1)
mlspatial 0.1.1 CRAN · 2026-06-04	Imports	xgboost
modeltime 1.3.5 CRAN · 2026-06-04	Imports	xgboost (>= 1.2.0.1)
nadir 0.0.1 CRAN · 2026-06-04	Imports	xgboost
nfl4th 1.0.7 CRAN · 2026-06-04	Imports	xgboost
nflfastR 5.2.0 CRAN · 2026-06-04	Imports	xgboost (>= 1.1)
nsga3 0.0.3 CRAN · 2026-06-04	Imports	xgboost
personalized 0.2.8 CRAN · 2026-06-04	Imports	xgboost (>= 3.1.2.1)
PND.heter.cluster 0.1.0 CRAN · 2026-06-04	Imports	xgboost
postcard 1.1.0 CRAN · 2026-06-04	Imports	xgboost
PoweREST 0.1.2 CRAN · 2026-06-04	Imports	xgboost
predhy 2.1.2 CRAN · 2026-06-04	Imports	xgboost
predhy.GUI 2.1.1 CRAN · 2026-06-04	Imports	xgboost
predictoR 4.1.7 CRAN · 2026-06-04	Imports	xgboost (>= 1.7.3.1)
promor 0.2.3 CRAN · 2026-06-04	Imports	xgboost
qshap 1.0.1 CRAN · 2026-06-04	Imports	xgboost (>= 3.1.3.1)
quickSentiment 0.3.4 CRAN · 2026-06-04	Imports	xgboost
radiant.model 1.6.11 CRAN · 2026-06-04	Imports	xgboost (>= 1.6.0.1)
reddPrec 3.0.2 CRAN · 2026-06-04	Imports	xgboost
ReSurv 1.0.0 CRAN · 2026-06-04	Imports	xgboost
rminer 1.5.0 CRAN · 2026-06-04	Imports	xgboost
roseRF 0.1.0 CRAN · 2026-06-04	Imports	xgboost
scPOEM 0.1.3 CRAN · 2026-06-04	Imports	xgboost (>= 1.7.10)
SELF 0.1.1 CRAN · 2026-06-04	Imports	xgboost (>= 0.6-4)
SEMdeep 1.1.1 CRAN · 2026-06-04	Imports	xgboost
sentiment.ai 0.1.1 CRAN · 2026-06-04	Imports	xgboost
SHAPBoost 1.0.3 CRAN · 2026-06-04	Imports	xgboost (>= 3.1)
SHAPforxgboost 0.2.0 CRAN · 2026-06-04	Imports	xgboost (>= 0.81.0.0)
shapviz 0.10.3 CRAN · 2026-06-04	Imports	xgboost
simPop 2.1.3 CRAN · 2026-06-04	Imports	xgboost
SMMAL 0.0.5 CRAN · 2026-06-04	Imports	xgboost
survalis 0.7.1 CRAN · 2026-06-04	Imports	xgboost
surveyvoi 1.1.1 CRAN · 2026-06-04	Imports	xgboost (>= 1.7.8.1)
tidybins 0.1.2 CRAN · 2026-06-04	Imports	xgboost
tidysdm 1.0.4 CRAN · 2026-06-04	Imports	xgboost
traineR 2.2.12 CRAN · 2026-06-04	Imports	xgboost (>= 0.81.0.1)
TSCI 3.0.5 CRAN · 2026-06-04	Imports	xgboost
tsensembler 0.1.0 CRAN · 2026-06-04	Imports	xgboost
twang 2.6.2 CRAN · 2026-06-04	Imports	xgboost
utsf 1.3.3 CRAN · 2026-06-04	Imports	xgboost
VIM 7.0.0 CRAN · 2026-06-04	Imports	xgboost
wactor 0.0.1 CRAN · 2026-06-04	Imports	xgboost
weightedGCM 0.1.1 CRAN · 2026-06-04	Imports	xgboost (>= 3.1.2.1)
xgb2sql 0.1.3 CRAN · 2026-06-04	Imports	xgboost (>= 3.1.2.1)
xpect 1.2 CRAN · 2026-06-04	Imports	xgboost (>= 1.7.5.1)
xrf 0.3.1 CRAN · 2026-06-04	Imports	xgboost (>= 3.1.2.1)
automatedRecLin 1.1.1 CRAN · 2026-06-04	Suggests	xgboost
BAGofT 1.0.0 CRAN · 2026-06-04	Suggests	xgboost (>= 1.2.0.1)
bigsnpr 1.12.21 CRAN · 2026-06-04	Suggests	xgboost
bioLeak 0.3.8 CRAN · 2026-06-04	Suggests	xgboost
biomod2 4.3-4-6 CRAN · 2026-06-04	Suggests	xgboost (>= 3.1.3.1)
BORG 0.3.1 CRAN · 2026-06-04	Suggests	xgboost
Boruta 9.0.0 CRAN · 2026-05-16	Suggests	xgboost
breakDown 0.2.2 CRAN · 2026-06-04	Suggests	xgboost
bundle 0.1.3 CRAN · 2026-06-04	Suggests	xgboost (>= 1.6.0.1)
butcher 0.4.0 CRAN · 2026-06-04	Suggests	xgboost (>= 1.3.2.1)
caretSDM 1.8.3 CRAN · 2026-06-04	Suggests	xgboost
cfbfastR 2.0.0 CRAN · 2026-06-04	Suggests	xgboost (>= 1.1)
CimpleG 1.0.1 CRAN · 2026-06-04	Suggests	xgboost
coefplot 1.2.9 CRAN · 2026-06-04	Suggests	xgboost
comets 0.2-2 CRAN · 2026-06-04	Suggests	xgboost
cornet 1.0.0 CRAN · 2026-06-04	Suggests	xgboost
cuda.ml 0.3.3 CRAN · 2026-06-04	Suggests	xgboost
DALEXtra 2.3.1 CRAN · 2026-06-04	Suggests	xgboost
daltoolbox 1.3.747 CRAN · 2026-06-04	Suggests	xgboost
DeepLearningCausal 0.0.107 CRAN · 2026-06-04	Suggests	xgboost
drape 0.0.2 CRAN · 2026-06-04	Suggests	xgboost
e2tree 1.2.0 CRAN · 2026-06-04	Suggests	xgboost
easyalluvial 0.4.0 CRAN · 2026-06-04	Suggests	xgboost
embed 1.2.2 CRAN · 2026-06-04	Suggests	xgboost
explore 1.4.0 CRAN · 2026-06-04	Suggests	xgboost
familiar 2.0.2 CRAN · 2026-06-04	Suggests	xgboost (>= 3.0.0)
fdm2id 0.9.9 CRAN · 2026-06-04	Suggests	xgboost
검색 결과가 없습니다.

1 / 24

Reverse dependency summary

4 types

Type	Packages
Depends	3
Imports	90
Suggests	88
Enhances	2

패키지 페이지

Reverse depends

Reverse imports

190

Reverse suggests

186

Reverse enhances

All links

242

Repository: CRAN
Version: 3.2.1.1
Collected: 2026-05-20 17:13:25
Package page: https://cran.r-project.org/web/packages/xgboost/index.html
DOI: 10.32614/CRAN.package.xgboost
CRAN checks: https://cran.r-project.org/web/checks/check_results_xgboost.html
Reference HTML: https://cran.r-project.org/web/packages/xgboost/refman/xgboost.html
Reference PDF: https://cran.r-project.org/web/packages/xgboost/xgboost.pdf
Source package: https://cran.r-project.org/src/contrib/xgboost_3.2.1.1.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/xgboost

In views

DatabasesHighPerformanceComputingMachineLearningModelDeploymentSurvival

Page fields

Author: Tianqi Chen [aut], Tong He [aut], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut], Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifeng Geng [aut], Yutian Li [aut], Jiaming Yuan [aut, cre], David Cortes [aut], XGBoost contributors [cph] (base XGBoost implementation)
BugReports: https://github.com/dmlc/xgboost/issues
CRAN Checks: xgboost results
DOI: 10.32614/CRAN.package.xgboost
In Views: Databases , HighPerformanceComputing , MachineLearning , ModelDeployment , Survival
License: Apache License (== 2.0) | file LICENSE
Maintainer: Jiaming Yuan <jm.yuan at outlook.com>
NeedsCompilation: yes
Old Sources: xgboost archive
Package Source: xgboost_3.2.1.1.tar.gz
Published: 2026-03-18
Reference Manual: xgboost.html , xgboost.pdf
Reverse Depends: LogisticEnsembles , NumericEnsembles , PIE
Reverse Enhances: fastshap , vip
Reverse Imports: adapt4pv , alookr , audrex , autoBagging , autostats , bambu , BayesSpace , BioMoR , BioPred , CausalGPS , CCI , cpfa , CRE , csmpv , CytoProfile , ddml , DSAM , DSWE , E2E , EFAfactors , EHRmuse , EIX , fastml , FastRet , fastrmodels , FoRecoML , funcml , ggscidca , glmnetr , GNET2 , HCPclust , IBLM , iimi , imanr , infinityFlow , irboost , IVDML , latentFactoR , ldmppr , LTFGRS , LTFHPlus , MAPFX , MBMethPred , MethScope , MFF , mikropml , mixgb , mlspatial , modeltime , nadir , nfl4th , nflfastR , nsga3 , personalized , PND.heter.cluster , postcard , PoweREST , predhy , predhy.GUI , predictoR , promor , qshap , quickSentiment , radiant.model , reddPrec , ReSurv , RFGeneRank , rminer , roseRF , scDblFinder , scds , scPOEM , SELF , SEMdeep , sentiment.ai , SHAPBoost , SHAPforxgboost , shapviz , simPop , SMMAL , survalis , surveyvoi , tidybins , tidysdm , traineR , TSCI , tsensembler , twang , utsf , VIM , wactor , weightedGCM , xgb2sql , xpect , xrf
Reverse Suggests: automatedRecLin , BAGofT , bigsnpr , bioLeak , biomod2 , BORG , breakDown , bundle , butcher , caretSDM , cfbfastR , CimpleG , ClassifyR , coefplot , comets , cornet , CrcBiomeScreen , cuda.ml , CytoMethIC , DALEXtra , daltoolbox , DeepLearningCausal , drape , e2tree , easyalluvial , embed , explore , familiar , fdm2id , FLAME , flevr , GenericML , h3sdm , interflex , lime , LLMAgentR , MachineShop , MantaID , marginaleffects , mcboost , miesmuschel , misl , mistyR , ml , mlflow , mllrnrs , mlr , mlr3benchmark , mlr3hyperband , mlr3learners , mlr3shiny , mlr3tuning , mlr3tuningspaces , mlr3viz , mlsurvlrnrs , MLwrap , modelStudio , modeltime.ensemble , MSclassifR , offsetreg , OpEnCAST , orbital , parsnip , pathMED , PatientLevelPrediction , pdp , PheCAP , pmml , polle , PortfolioTesteR , qeML , r2pmml , rattle , rBayesianOptimization , rush , sense , shapr , sits , stackgbm , SuperLearner , SuperSurv , survex , tabnet , targeted , tidylearn , tidypopgen , tidypredict , treeshap , tune , vetiver , vimp , vivid , XAItest
SystemRequirements: GNU make, C++17
URL: https://github.com/dmlc/xgboost
Version: 3.2.1.1
Vignettes: XGBoost for R introduction ( source , R code ) XGBoost from JSON ( source , R code )
Windows Binaries: r-devel: xgboost_3.2.1.1.zip , r-release: xgboost_3.2.1.1.zip , r-oldrel: xgboost_3.2.1.1.zip
MacOS Binaries: r-release (arm64): xgboost_3.2.1.1.tgz , r-oldrel (arm64): xgboost_3.2.1.1.tgz , r-release (x86_64): xgboost_3.2.1.1.tgz , r-oldrel (x86_64): xgboost_3.2.1.1.tgz

Version

3.2.1.1

Published

2026-03-18

DOI

10.32614/CRAN.package.xgboost

Author

Tianqi Chen [aut], Tong He [aut], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut], Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifeng Geng [aut], Yutian Li [aut], Jiaming Yuan [aut, cre], David Cortes [aut], XGBoost contributors [cph] (base XGBoost implementation)

https://orcid.org/0000-0001-5243-233X

Maintainer

Jiaming Yuan <jm.yuan at outlook.com>

BugReports

https://github.com/dmlc/xgboost/issues

License

Apache License (== 2.0) | file LICENSE

Apache License (== 2.0)LICENSE

URL

https://github.com/dmlc/xgboost

NeedsCompilation

yes

SystemRequirements

GNU make, C++17

In Views

Databases , HighPerformanceComputing , MachineLearning , ModelDeployment , Survival

Databases HighPerformanceComputing MachineLearning ModelDeployment Survival

CRAN Checks

xgboost results

Reference Manual

xgboost.html , xgboost.pdf

xgboost.html xgboost.pdf

Vignettes

XGBoost for R introduction ( source , R code ) XGBoost from JSON ( source , R code )

XGBoost for R introduction source R code XGBoost from JSON source R code

Package Source

xgboost_3.2.1.1.tar.gz

Windows Binaries

r-devel: xgboost_3.2.1.1.zip , r-release: xgboost_3.2.1.1.zip , r-oldrel: xgboost_3.2.1.1.zip

xgboost_3.2.1.1.zip xgboost_3.2.1.1.zip xgboost_3.2.1.1.zip

MacOS Binaries

r-release (arm64): xgboost_3.2.1.1.tgz , r-oldrel (arm64): xgboost_3.2.1.1.tgz , r-release (x86_64): xgboost_3.2.1.1.tgz , r-oldrel (x86_64): xgboost_3.2.1.1.tgz

xgboost_3.2.1.1.tgz xgboost_3.2.1.1.tgz xgboost_3.2.1.1.tgz xgboost_3.2.1.1.tgz

Old Sources

xgboost archive

Reverse Depends

LogisticEnsembles , NumericEnsembles , PIE

LogisticEnsembles NumericEnsembles PIE

Reverse Imports

adapt4pv , alookr , audrex , autoBagging , autostats , bambu , BayesSpace , BioMoR , BioPred , CausalGPS , CCI , cpfa , CRE , csmpv , CytoProfile , ddml , DSAM , DSWE , E2E , EFAfactors , EHRmuse , EIX , fastml , FastRet , fastrmodels , FoRecoML , funcml , ggscidca , glmnetr , GNET2 , HCPclust , IBLM , iimi , imanr , infinityFlow , irboost , IVDML , latentFactoR , ldmppr , LTFGRS , LTFHPlus , MAPFX , MBMethPred , MethScope , MFF , mikropml , mixgb , mlspatial , modeltime , nadir , nfl4th , nflfastR , nsga3 , personalized , PND.heter.cluster , postcard , PoweREST , predhy , predhy.GUI , predictoR , promor , qshap , quickSentiment , radiant.model , reddPrec , ReSurv , RFGeneRank , rminer , roseRF , scDblFinder , scds , scPOEM , SELF , SEMdeep , sentiment.ai , SHAPBoost , SHAPforxgboost , shapviz , simPop , SMMAL , survalis , surveyvoi , tidybins , tidysdm , traineR , TSCI , tsensembler , twang , utsf , VIM , wactor , weightedGCM , xgb2sql , xpect , xrf

adapt4pv alookr audrex autoBagging autostats bambu BayesSpace BioMoR BioPred CausalGPS CCI cpfa CRE csmpv CytoProfile ddml DSAM DSWE E2E EFAfactors

Reverse Suggests

automatedRecLin , BAGofT , bigsnpr , bioLeak , biomod2 , BORG , breakDown , bundle , butcher , caretSDM , cfbfastR , CimpleG , ClassifyR , coefplot , comets , cornet , CrcBiomeScreen , cuda.ml , CytoMethIC , DALEXtra , daltoolbox , DeepLearningCausal , drape , e2tree , easyalluvial , embed , explore , familiar , fdm2id , FLAME , flevr , GenericML , h3sdm , interflex , lime , LLMAgentR , MachineShop , MantaID , marginaleffects , mcboost , miesmuschel , misl , mistyR , ml , mlflow , mllrnrs , mlr , mlr3benchmark , mlr3hyperband , mlr3learners , mlr3shiny , mlr3tuning , mlr3tuningspaces , mlr3viz , mlsurvlrnrs , MLwrap , modelStudio , modeltime.ensemble , MSclassifR , offsetreg , OpEnCAST , orbital , parsnip , pathMED , PatientLevelPrediction , pdp , PheCAP , pmml , polle , PortfolioTesteR , qeML , r2pmml , rattle , rBayesianOptimization , rush , sense , shapr , sits , stackgbm , SuperLearner , SuperSurv , survex , tabnet , targeted , tidylearn , tidypopgen , tidypredict , treeshap , tune , vetiver , vimp , vivid , XAItest

automatedRecLin BAGofT bigsnpr bioLeak biomod2 BORG breakDown bundle butcher caretSDM cfbfastR CimpleG ClassifyR coefplot comets cornet CrcBiomeScreen cuda.ml CytoMethIC DALEXtra

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Page sections 4

Documentation

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Text

Reference manual: xgboost.html , xgboost.pdf Vignettes: XGBoost for R introduction ( source , R code ) XGBoost from JSON ( source , R code )

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Package source: xgboost_3.2.1.1.tar.gz Windows binaries: r-devel: xgboost_3.2.1.1.zip , r-release: xgboost_3.2.1.1.zip , r-oldrel: xgboost_3.2.1.1.zip macOS binaries: r-release (arm64): xgboost_3.2.1.1.tgz , r-oldrel (arm64): xgboost_3.2.1.1.tgz , r-release (x86_64): xgboost_3.2.1.1.tgz , r-oldrel (x86_64): xgboost_3.2.1.1.tgz Old sources: xgboost archive

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Text

Reverse depends: LogisticEnsembles , NumericEnsembles , PIE Reverse imports: adapt4pv , alookr , audrex , autoBagging , autostats , bambu , BayesSpace , BioMoR , BioPred , CausalGPS , CCI , cpfa , CRE , csmpv , CytoProfile , ddml , DSAM , DSWE , E2E , EFAfactors , EHRmuse , EIX , fastml , FastRet , fastrmodels , FoRecoML , funcml , ggscidca , glmnetr , GNET2 , HCPclust , IBLM , iimi , imanr , infinityFlow , irboost , IVDML , latentFactoR , ldmppr , LTFGRS , LTFHPlus , MAPFX , MBMethPred , MethScope , MFF , mikropml , mixgb , mlspatial , modeltime , nadir , nfl4th , nflfastR , nsga3 , personalized , PND.heter.cluster , postcard , PoweREST , predhy , predhy.GUI , predictoR , promor , qshap , quickSentiment , radiant.model , reddPrec , ReSurv , RFGeneRank , rminer , roseRF , scDblFinder , scds , scPOEM , SELF , SEMdeep , sentiment.ai , SHAPBoost , SHAPforxgboost , shapviz , simPop , SMMAL , survalis , surveyvoi , tidybins , tidysdm , traineR , TSCI , tsensembler , twang , utsf , VIM , wactor , weightedGCM , xgb2sql , xpect , xrf Reverse suggests: automatedRecLin , BAGofT , bigsnpr , bioLeak , biomod2 , BORG , breakDown , bundle , butcher , caretSDM , cfbfastR , CimpleG , ClassifyR , coefplot , comets , cornet , CrcBiomeScreen , cuda.ml , CytoMethIC , DALEXtra , daltoolbox , DeepLearningCausal , drape , e2tree , easyalluvial , embed , explore , familiar , fdm2id , FLAME , flevr , GenericML , h3sdm , interflex , lime , LLMAgentR , MachineShop , MantaID , marginaleffects , mcboost , miesmuschel , misl , mistyR , ml , mlflow , mllrnrs , mlr , mlr3benchmark , mlr3hyperband , mlr3learners , mlr3shiny , mlr3tuning , mlr3tuningspaces , mlr3viz , mlsurvlrnrs , MLwrap , modelStudio , modeltime.ensemble , MSclassifR , offsetreg , OpEnCAST , orbital , parsnip , pathMED , PatientLevelPrediction , pdp , PheCAP , pmml , polle , PortfolioTesteR , qeML , r2pmml , rattle , rBayesianOptimization , rush , sense , shapr , sits , stackgbm , SuperLearner , SuperSurv , survex , tabnet , targe

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[{"label":"https://CRAN.R-project.org/package=xgboost","section":"","type":"","url":"https://CRAN.R-project.org/package=xgboost"}]

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Please use the canonical form https://CRAN.R-project.org/package=xgboost to link to this page.

Documentation 8

xgboost.html xgboost.pdf XGBoost for R introduction source R code XGBoost from JSON source R code

Vignettes 6

XGBoost for R introduction source R code XGBoost from JSON source R code

Downloads 9

xgboost_3.2.1.1.tar.gz xgboost_3.2.1.1.zip xgboost_3.2.1.1.zip xgboost_3.2.1.1.zip xgboost_3.2.1.1.tgz xgboost_3.2.1.1.tgz xgboost_3.2.1.1.tgz xgboost_3.2.1.1.tgz xgboost archive

All page links 120

Matrix methods data.table jsonlite knitr rmarkdown ggplot2 DiagrammeR DiagrammeRsvg rsvg htmlwidgets Ckmeans.1d.dp vcd testthat igraph float titanic RhpcBLASctl survival 10.32614/CRAN.package.xgboost https://orcid.org/0000-0001-5243-233X https://github.com/dmlc/xgboost/issues Apache License (== 2.0)LICENSE https://github.com/dmlc/xgboost Databases HighPerformanceComputing MachineLearning ModelDeployment Survival xgboost results xgboost.html xgboost.pdf XGBoost for R introduction source R code XGBoost from JSON source R code xgboost_3.2.1.1.tar.gz xgboost_3.2.1.1.zip xgboost_3.2.1.1.zip xgboost_3.2.1.1.zip xgboost_3.2.1.1.tgz xgboost_3.2.1.1.tgz xgboost_3.2.1.1.tgz xgboost_3.2.1.1.tgz xgboost archive LogisticEnsembles NumericEnsembles PIE adapt4pv alookr audrex autoBagging autostats bambu BayesSpace BioMoR BioPred CausalGPS CCI cpfa CRE csmpv CytoProfile ddml DSAM DSWE E2E EFAfactors automatedRecLin BAGofT bigsnpr bioLeak biomod2 BORG breakDown bundle butcher caretSDM cfbfastR CimpleG ClassifyR coefplot comets cornet CrcBiomeScreen cuda.ml CytoMethIC DALEXtra fastshap vip EHRmuse EIX fastml FastRet fastrmodels FoRecoML funcml ggscidca glmnetr GNET2 HCPclust IBLM iimi imanr infinityFlow irboost IVDML latentFactoR ldmppr LTFGRS LTFHPlus MAPFX MBMethPred MethScope MFF mikropml mixgb

버전 이력

Repository	Version	Published	First seen	Last seen
CRAN	3.2.0.1	2026-02-10	2026-05-31	2026-05-31
CRAN	3.1.3.1	2026-01-12	2026-05-31	2026-05-31
CRAN	3.1.2.1	2025-12-03	2026-05-31	2026-05-31
CRAN	1.7.11.1	2025-05-15	2026-05-31	2026-05-31
CRAN	1.7.10.1	2025-04-22	2026-05-31	2026-05-31
CRAN	1.7.9.1	2025-03-26	2026-05-31	2026-05-31
CRAN	1.7.8.1	2024-07-24	2026-05-31	2026-05-31
CRAN	1.7.7.1	2024-01-25	2026-05-31	2026-05-31
CRAN	1.7.6.1	2023-12-06	2026-05-31	2026-05-31
CRAN	1.7.5.1	2023-03-30	2026-05-31	2026-05-31
CRAN	1.7.3.1	2023-01-14	2026-05-31	2026-05-31
CRAN	1.6.0.1	2022-04-16	2026-05-31	2026-05-31
CRAN	1.5.2.1	2022-02-21	2026-05-31	2026-05-31
CRAN	1.5.0.2	2021-11-21	2026-05-31	2026-05-31
CRAN	1.5.0.1	2021-11-08	2026-05-31	2026-05-31
CRAN	1.4.1.1	2021-04-22	2026-05-31	2026-05-31
CRAN	1.3.2.1	2021-01-18	2026-05-31	2026-05-31
CRAN	1.3.1.1	2021-01-05	2026-05-31	2026-05-31
CRAN	1.2.0.1	2020-09-02	2026-05-31	2026-05-31
CRAN	1.1.1.1	2020-06-14	2026-05-31	2026-05-31
CRAN	1.0.0.2	2020-03-25	2026-05-31	2026-05-31
CRAN	1.0.0.1	2020-03-23	2026-05-31	2026-05-31
CRAN	0.90.0.2	2019-08-01	2026-05-31	2026-05-31
CRAN	0.90.0.1	2019-07-25	2026-05-31	2026-05-31
CRAN	0.82.1	2019-03-12	2026-05-31	2026-05-31
CRAN	0.81.0.1	2019-01-31	2026-05-31	2026-05-31
CRAN	0.71.2	2018-06-09	2026-05-31	2026-05-31
CRAN	0.71.1	2018-05-16	2026-05-31	2026-05-31
CRAN	0.6.4.1	2018-01-23	2026-05-31	2026-05-31
CRAN	0.6-4	2017-01-05	2026-05-31	2026-05-31
CRAN	0.6-3	2016-12-31	2026-05-31	2026-05-31
CRAN	0.6-2	2016-12-18	2026-05-31	2026-05-31
CRAN	0.6-0	2016-12-16	2026-05-31	2026-05-31
CRAN	0.4-4	2016-07-12	2026-05-31	2026-05-31
CRAN	0.4-3	2016-02-15	2026-05-31	2026-05-31
CRAN	0.4-2	2015-08-02	2026-05-31	2026-05-31
CRAN	0.4-1	2015-08-01	2026-05-31	2026-05-31
CRAN	0.3-3	2015-03-03	2026-05-31	2026-05-31
CRAN	0.3-2	2014-09-07	2026-05-31	2026-05-31
CRAN	0.3-1	2014-09-07	2026-05-31	2026-05-31
CRAN	0.3-0	2014-09-01	2026-05-31	2026-05-31
CRAN	3.2.1.1		2026-06-01	2026-06-04

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Databases with R · 2026-06-04 High-Performance and Parallel Computing with R · 2026-06-04 Machine Learning & Statistical Learning · 2026-06-04 Model Deployment with R · 2026-06-04 Survival Analysis · 2026-06-04