h2o

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / h2o

h2o

v3.44.0.3
Repository CRANLicense Apache License (== 2.0)Lifecycle activeNeeds compilation no
Package pageReferenceSourceDOINEWS
DOI
10.32614/CRAN.package.h2o
Task views
High-Performance and Parallel Computing with R, Machine Learning & Statistical Learning, Model Deployment with R
Reverse imports
431

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Task views
High-Performance and Parallel Computing with R, Machine Learning & Statistical Learning, Model Deployment with R
Reverse imports
431

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

1
D
data.table
Suggests

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
3.44.0.3
License
Apache License (== 2.0)
Lifecycle
active
Needs compilation
no
Reverse imports
431
Last observed
2026-05-30
CRAN
cran.r-project.org/package=h2o

수집 소스별 패키지 정보

1개 소스
CRAN
3.44.0.3
2026-05-30
License
Apache License (== 2.0)
Depends
R (>= 2.13.0), methods, stats
Imports
graphics, tools, utils, RCurl, jsonlite
Suggests
ggplot2 (>= 3.3.0), mlbench, Matrix, slam, bit64 (>= 0.9.7), data.table (>= 1.9.8), rgl (>= 0.100.19), plot3Drgl (>= 1.0.1), survival, DT, IRdisplay, htmltools, plotly, repr, curl, scales
Needs compilation
no
Reverse imports
431
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 23개
PackageTypeSpec
methods
CRAN · 3.44.0.3 · 2026-05-30
Dependsmethods
stats
CRAN · 3.44.0.3 · 2026-05-30
Dependsstats
graphics
CRAN · 3.44.0.3 · 2026-05-30
Importsgraphics
jsonlite
CRAN · 3.44.0.3 · 2026-05-30
Importsjsonlite
RCurl
CRAN · 3.44.0.3 · 2026-05-30
ImportsRCurl
1 / 5

이 패키지를 쓰는 패키지

5개 표시전체 27개
PackageTypeSpec
agua
0.1.4
CRAN · 2026-05-30
Importsh2o (>= 3.38.0.1)
autoEnsemble
0.3
CRAN · 2026-05-30
Importsh2o (>= 3.34.0.0)
h2otools
0.4
CRAN · 2026-05-30
Importsh2o (>= 3.34.0.0)
healthyR.ai
0.1.1
CRAN · 2026-05-30
Importsh2o
HMDA
0.3.0
CRAN · 2026-05-30
Importsh2o (>= 3.34.0.0)
1 / 6

Reverse dependency summary

3 types
TypePackages
Imports11
Suggests12
Enhances4

패키지 페이지

Reverse imports
24
Reverse suggests
24
Reverse enhances
8
All links
72
Repository
CRAN
Version
3.44.0.3
Collected
2026-05-26 00:08:07
Package page
https://cran.r-project.org/web/packages/h2o/index.html
DOI
10.32614/CRAN.package.h2o
CRAN checks
https://cran.r-project.org/web/checks/check_results_h2o.html
NEWS
https://cran.r-project.org/web/packages/h2o/NEWS
Reference HTML
https://cran.r-project.org/web/packages/h2o/refman/h2o.html
Reference PDF
https://cran.r-project.org/web/packages/h2o/h2o.pdf
Source package
https://cran.r-project.org/src/contrib/h2o_3.44.0.3.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/h2o
In views
HighPerformanceComputingMachineLearningModelDeployment
Page fields
Author
Tomas Fryda [aut, cre], Erin LeDell [aut], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Sebastien Poirier [aut], Wendy Wong [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], Veronika Maurerova [ctb], Yuliia Syzon [ctb], Adam Valenta [ctb], Marek Novotny [ctb], H2O.ai [cph, fnd]
BugReports
https://github.com/h2oai/h2o-3/issues
CRAN Checks
h2o results
DOI
10.32614/CRAN.package.h2o
In Views
HighPerformanceComputing , MachineLearning , ModelDeployment
License
Apache License (== 2.0)
Maintainer
Tomas Fryda <tomas.fryda at h2o.ai>
Materials
NEWS
NeedsCompilation
no
Old Sources
h2o archive
Package Source
h2o_3.44.0.3.tar.gz
Published
2024-01-11
Reference Manual
h2o.html , h2o.pdf
Reverse Enhances
effectplots , shapviz , texreg , vip
Reverse Imports
agua , autoEnsemble , h2otools , healthyR.ai , HMDA , lazytrade , lilikoi , mlim , MSstatsQC , rsparkling , shapley , shinyML
Reverse Suggests
bundle , DALEXtra , iForecast , iml , lares , lareshiny , lime , localICE , mlflow , mlr , NeuralSens , stacks
SystemRequirements
Java (>= 8, <= 17)
URL
https://github.com/h2oai/h2o-3
Version
3.44.0.3
Windows Binaries
r-devel: h2o_3.44.0.3.zip , r-release: h2o_3.44.0.3.zip , r-oldrel: h2o_3.44.0.3.zip
MacOS Binaries
r-release (arm64): h2o_3.44.0.3.tgz , r-oldrel (arm64): h2o_3.44.0.3.tgz , r-release (x86_64): h2o_3.44.0.3.tgz , r-oldrel (x86_64): h2o_3.44.0.3.tgz
Version
3.44.0.3
Published
2024-01-11
DOI
10.32614/CRAN.package.h2o
10.32614/CRAN.package.h2o
Author
Tomas Fryda [aut, cre], Erin LeDell [aut], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Sebastien Poirier [aut], Wendy Wong [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], Veronika Maurerova [ctb], Yuliia Syzon [ctb], Adam Valenta [ctb], Marek Novotny [ctb], H2O.ai [cph, fnd]
Maintainer
Tomas Fryda <tomas.fryda at h2o.ai>
BugReports
https://github.com/h2oai/h2o-3/issues
https://github.com/h2oai/h2o-3/issues
License
Apache License (== 2.0)
Apache License (== 2.0)
URL
https://github.com/h2oai/h2o-3
https://github.com/h2oai/h2o-3
NeedsCompilation
no
SystemRequirements
Java (>= 8, <= 17)
Materials
NEWS
NEWS
In Views
HighPerformanceComputing , MachineLearning , ModelDeployment
HighPerformanceComputingMachineLearningModelDeployment
CRAN Checks
h2o results
h2o results
Reference Manual
h2o.html , h2o.pdf
h2o.htmlh2o.pdf
Package Source
h2o_3.44.0.3.tar.gz
h2o_3.44.0.3.tar.gz
Windows Binaries
r-devel: h2o_3.44.0.3.zip , r-release: h2o_3.44.0.3.zip , r-oldrel: h2o_3.44.0.3.zip
h2o_3.44.0.3.ziph2o_3.44.0.3.ziph2o_3.44.0.3.zip
MacOS Binaries
r-release (arm64): h2o_3.44.0.3.tgz , r-oldrel (arm64): h2o_3.44.0.3.tgz , r-release (x86_64): h2o_3.44.0.3.tgz , r-oldrel (x86_64): h2o_3.44.0.3.tgz
h2o_3.44.0.3.tgzh2o_3.44.0.3.tgzh2o_3.44.0.3.tgzh2o_3.44.0.3.tgz
Old Sources
h2o archive
h2o archive
Reverse Imports
agua , autoEnsemble , h2otools , healthyR.ai , HMDA , lazytrade , lilikoi , mlim , MSstatsQC , rsparkling , shapley , shinyML
aguaautoEnsembleh2otoolshealthyR.aiHMDAlazytradelilikoimlimMSstatsQCrsparklingshapleyshinyML
Reverse Suggests
bundle , DALEXtra , iForecast , iml , lares , lareshiny , lime , localICE , mlflow , mlr , NeuralSens , stacks
bundleDALEXtraiForecastimllareslareshinylimelocalICEmlflowmlrNeuralSensstacks
Reverse Enhances
effectplots , shapviz , texreg , vip
effectplotsshapviztexregvip
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"h2o.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/h2o/refman/h2o.html"},{"label":"h2o.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/h2o/h2o.pdf"}]
Text
Reference manual: h2o.html , h2o.pdf
Downloads
Heading
Downloads
Links
[{"label":"h2o_3.44.0.3.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/h2o_3.44.0.3.tar.gz"},{"label":"h2o_3.44.0.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/h2o_3.44.0.3.zip"},{"label":"h2o_3.44.0.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/h2o_3.44.0.3.zip"},{"label":"h2o_3.44.0.3.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/h2o_3.44.0.3.zip"},{"label":"h2o_3.44.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/h2o_3.44.0.3.tgz"},{"label":"h2o_3.44.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/h2o_3.44.0.3.tgz"},{"label":"h2o_3.44.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/h2o_3.44.0.3.tgz"},{"label":"h2o_3.44.0.3.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/h2o_3.44.0.3.tgz"},{"label":"h2o archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/h2o"}]
Text
Package source: h2o_3.44.0.3.tar.gz Windows binaries: r-devel: h2o_3.44.0.3.zip , r-release: h2o_3.44.0.3.zip , r-oldrel: h2o_3.44.0.3.zip macOS binaries: r-release (arm64): h2o_3.44.0.3.tgz , r-oldrel (arm64): h2o_3.44.0.3.tgz , r-release (x86_64): h2o_3.44.0.3.tgz , r-oldrel (x86_64): h2o_3.44.0.3.tgz Old sources: h2o archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"agua","section":"","type":"","url":"https://cran.r-project.org/web/packages/agua/index.html"},{"label":"autoEnsemble","section":"","type":"","url":"https://cran.r-project.org/web/packages/autoEnsemble/index.html"},{"label":"h2otools","section":"","type":"","url":"https://cran.r-project.org/web/packages/h2otools/index.html"},{"label":"healthyR.ai","section":"","type":"","url":"https://cran.r-project.org/web/packages/healthyR.ai/index.html"},{"label":"HMDA","section":"","type":"","url":"https://cran.r-project.org/web/packages/HMDA/index.html"},{"label":"lazytrade","section":"","type":"","url":"https://cran.r-project.org/web/packages/lazytrade/index.html"},{"label":"lilikoi","section":"","type":"","url":"https://cran.r-project.org/web/packages/lilikoi/index.html"},{"label":"mlim","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlim/index.html"},{"label":"MSstatsQC","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/MSstatsQC.html"},{"label":"rsparkling","section":"","type":"","url":"https://cran.r-project.org/web/packages/rsparkling/index.html"},{"label":"shapley","section":"","type":"","url":"https://cran.r-project.org/web/packages/shapley/index.html"},{"label":"shinyML","section":"","type":"","url":"https://cran.r-project.org/web/packages/shinyML/index.html"},{"label":"bundle","section":"","type":"","url":"https://cran.r-project.org/web/packages/bundle/index.html"},{"label":"DALEXtra","section":"","type":"","url":"https://cran.r-project.org/web/packages/DALEXtra/index.html"},{"label":"iForecast","section":"","type":"","url":"https://cran.r-project.org/web/packages/iForecast/index.html"},{"label":"iml","section":"","type":"","url":"https://cran.r-project.org/web/packages/iml/index.html"},{"label":"lares","section":"","type":"","url":"https://cran.r-project.org/web/packages/lares/index.html"},{"label":"lareshiny","section":"","type":"","url":"https://cran.r-project.org/web/packages/lareshiny/index.html"},{"label":"lime","section":"","type":"","url":"https://cran.r-project.org/web/packages/lime/index.html"},{"label":"localICE","section":"","type":"","url":"https://cran.r-project.org/web/packages/localICE/index.html"}]
Text
Reverse imports: agua , autoEnsemble , h2otools , healthyR.ai , HMDA , lazytrade , lilikoi , mlim , MSstatsQC , rsparkling , shapley , shinyML Reverse suggests: bundle , DALEXtra , iForecast , iml , lares , lareshiny , lime , localICE , mlflow , mlr , NeuralSens , stacks Reverse enhances: effectplots , shapviz , texreg , vip
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=h2o","section":"","type":"","url":"https://CRAN.R-project.org/package=h2o"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=h2o to link to this page.
Materials 1
NEWS
Documentation 2
h2o.htmlh2o.pdf
Downloads 9
h2o_3.44.0.3.tar.gzh2o_3.44.0.3.ziph2o_3.44.0.3.ziph2o_3.44.0.3.ziph2o_3.44.0.3.tgzh2o_3.44.0.3.tgzh2o_3.44.0.3.tgzh2o_3.44.0.3.tgzh2o archive
All page links 72
methodsstatsgraphicstoolsutilsRCurljsonliteggplot2mlbenchMatrixslambit64data.tablerglplot3DrglsurvivalDTIRdisplayhtmltoolsplotlyreprcurlscales10.32614/CRAN.package.h2ohttps://github.com/h2oai/h2o-3/issuesApache License (== 2.0)https://github.com/h2oai/h2o-3NEWSHighPerformanceComputingMachineLearningModelDeploymenth2o resultsh2o.htmlh2o.pdfh2o_3.44.0.3.tar.gzh2o_3.44.0.3.ziph2o_3.44.0.3.ziph2o_3.44.0.3.ziph2o_3.44.0.3.tgzh2o_3.44.0.3.tgzh2o_3.44.0.3.tgzh2o_3.44.0.3.tgzh2o archiveaguaautoEnsembleh2otoolshealthyR.aiHMDAlazytradelilikoimlimMSstatsQCrsparklingshapleyshinyMLbundleDALEXtraiForecastimllareslareshinylimelocalICEmlflowmlrNeuralSensstackseffectplotsshapviztexregviphttps://CRAN.R-project.org/package=h2o

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN3.44.0.32026-05-282026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

High-Performance and Parallel Computing with R · 2026-05-30Machine Learning & Statistical Learning · 2026-05-30Model Deployment with R · 2026-05-30