ipred

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / ipred

ipred

v0.9-15
Repository CRANLicense GPL (>= 2)Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOINEWS
DOI
10.32614/CRAN.package.ipred
Task views
Analysis of Ecological and Environmental Data, Machine Learning & Statistical Learning, Survival Analysis
Reverse imports
515
Reverse depends
150

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Analysis of Ecological and Environmental Data, Machine Learning & Statistical Learning, Survival Analysis
Reverse imports
515
Reverse depends
150

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.9-15
License
GPL (>= 2)
Lifecycle
active
Needs compilation
yes
Reverse depends
150
Reverse imports
515
Last observed
2026-06-04
CRAN
cran.r-project.org/package=ipred

수집 소스별 패키지 정보

1개 소스
CRAN
0.9-15
2026-06-04
License
GPL (>= 2)
Depends
R (>= 2.10)
Imports
rpart (>= 3.1-8), MASS, survival, nnet, class, prodlim
Suggests
mvtnorm, mlbench, TH.data, randomForest, party
Needs compilation
yes
Reverse depends
150
Reverse imports
515
Lifecycle
active
Last observed
2026-06-04 01:07:23

이 패키지가 의존하는 패키지

5개 표시전체 11개
PackageTypeSpec
class
CRAN · 0.9-15 · 2026-06-04
Importsclass
MASS
CRAN · 0.9-15 · 2026-06-04
ImportsMASS
nnet
CRAN · 0.9-15 · 2026-06-04
Importsnnet
prodlim
CRAN · 0.9-15 · 2026-06-04
Importsprodlim
rpart
CRAN · 0.9-15 · 2026-06-04
Importsrpart (>= 3.1-8)
1 / 3

이 패키지를 쓰는 패키지

5개 표시전체 22개
PackageTypeSpec
ClassificationEnsembles
1.0.2
CRAN · 2026-06-04
Dependsipred
LogisticEnsembles
1.0.2
CRAN · 2026-06-04
Dependsipred
NumericEnsembles
1.2
CRAN · 2026-06-04
Dependsipred
ICcforest
0.5.1
CRAN · 2026-06-04
Importsipred
mlearning
1.2.1
CRAN · 2026-06-04
Importsipred
1 / 5

Reverse dependency summary

3 types
TypePackages
Depends3
Imports10
Suggests9

패키지 페이지

Reverse depends
6
Reverse imports
22
Reverse suggests
20
All links
58
Repository
CRAN
Version
0.9-15
Collected
2026-05-27 00:10:14
Package page
https://cran.r-project.org/web/packages/ipred/index.html
DOI
10.32614/CRAN.package.ipred
CRAN checks
https://cran.r-project.org/web/checks/check_results_ipred.html
NEWS
https://cran.r-project.org/web/packages/ipred/NEWS
Reference HTML
https://cran.r-project.org/web/packages/ipred/refman/ipred.html
Reference PDF
https://cran.r-project.org/web/packages/ipred/ipred.pdf
Source package
https://cran.r-project.org/src/contrib/ipred_0.9-15.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/ipred
In views
EnvironmetricsMachineLearningSurvival
Page fields
Author
Andrea Peters [aut], Torsten Hothorn [aut, cre], Brian D. Ripley [ctb], Terry Therneau [ctb], Beth Atkinson [ctb]
CRAN Checks
ipred results
Copyright
see file COPYRIGHTS
DOI
10.32614/CRAN.package.ipred
In Views
Environmetrics , MachineLearning , Survival
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Maintainer
Torsten Hothorn <Torsten.Hothorn at R-project.org>
Materials
NEWS
NeedsCompilation
yes
Old Sources
ipred archive
Package Source
ipred_0.9-15.tar.gz
Published
2024-07-18
Reference Manual
ipred.html , ipred.pdf
Reverse Depends
ClassificationEnsembles , LogisticEnsembles , NumericEnsembles
Reverse Imports
ICcforest , mlearning , nlcv , optBiomarker , permimp , pomodoro , recipes , RecordLinkage , RTextTools , survcomp , utsf
Reverse Suggests
butcher , CanonicalFamilyExtra , caret , censored , daltoolbox , MLInterfaces , party , pdp , subsemble , SuperLearner
Version
0.9-15
Vignettes
Some more or less useful examples for illustration. ( source , R code )
Windows Binaries
r-devel: ipred_0.9-15.zip , r-release: ipred_0.9-15.zip , r-oldrel: ipred_0.9-15.zip
MacOS Binaries
r-release (arm64): ipred_0.9-15.tgz , r-oldrel (arm64): ipred_0.9-15.tgz , r-release (x86_64): ipred_0.9-15.tgz , r-oldrel (x86_64): ipred_0.9-15.tgz
Version
0.9-15
Published
2024-07-18
DOI
10.32614/CRAN.package.ipred
10.32614/CRAN.package.ipred
Author
Andrea Peters [aut], Torsten Hothorn [aut, cre], Brian D. Ripley [ctb], Terry Therneau [ctb], Beth Atkinson [ctb]
Maintainer
Torsten Hothorn <Torsten.Hothorn at R-project.org>
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
GPL-2GPL-3
Copyright
see file COPYRIGHTS
COPYRIGHTS
NeedsCompilation
yes
Materials
NEWS
NEWS
In Views
Environmetrics , MachineLearning , Survival
EnvironmetricsMachineLearningSurvival
CRAN Checks
ipred results
ipred results
Reference Manual
ipred.html , ipred.pdf
ipred.htmlipred.pdf
Vignettes
Some more or less useful examples for illustration. ( source , R code )
Some more or less useful examples for illustration.sourceR code
Package Source
ipred_0.9-15.tar.gz
ipred_0.9-15.tar.gz
Windows Binaries
r-devel: ipred_0.9-15.zip , r-release: ipred_0.9-15.zip , r-oldrel: ipred_0.9-15.zip
ipred_0.9-15.zipipred_0.9-15.zipipred_0.9-15.zip
MacOS Binaries
r-release (arm64): ipred_0.9-15.tgz , r-oldrel (arm64): ipred_0.9-15.tgz , r-release (x86_64): ipred_0.9-15.tgz , r-oldrel (x86_64): ipred_0.9-15.tgz
ipred_0.9-15.tgzipred_0.9-15.tgzipred_0.9-15.tgzipred_0.9-15.tgz
Old Sources
ipred archive
ipred archive
Reverse Depends
ClassificationEnsembles , LogisticEnsembles , NumericEnsembles
ClassificationEnsemblesLogisticEnsemblesNumericEnsembles
Reverse Imports
ICcforest , mlearning , nlcv , optBiomarker , permimp , pomodoro , recipes , RecordLinkage , RTextTools , survcomp , utsf
ICcforestmlearningnlcvoptBiomarkerpermimppomodororecipesRecordLinkageRTextToolssurvcomputsf
Reverse Suggests
butcher , CanonicalFamilyExtra , caret , censored , daltoolbox , MLInterfaces , party , pdp , subsemble , SuperLearner
butcherCanonicalFamilyExtracaretcensoreddaltoolboxMLInterfacespartypdpsubsembleSuperLearner
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"ipred.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/ipred/refman/ipred.html"},{"label":"ipred.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/ipred/ipred.pdf"},{"label":"Some more or less useful examples for illustration.","section":"","type":"","url":"https://cran.r-project.org/web/packages/ipred/vignettes/ipred-examples.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/ipred/vignettes/ipred-examples.Rnw"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/ipred/vignettes/ipred-examples.R"}]
Text
Reference manual: ipred.html , ipred.pdf Vignettes: Some more or less useful examples for illustration. ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"ipred_0.9-15.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/ipred_0.9-15.tar.gz"},{"label":"ipred_0.9-15.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/ipred_0.9-15.zip"},{"label":"ipred_0.9-15.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/ipred_0.9-15.zip"},{"label":"ipred_0.9-15.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/ipred_0.9-15.zip"},{"label":"ipred_0.9-15.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/ipred_0.9-15.tgz"},{"label":"ipred_0.9-15.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/ipred_0.9-15.tgz"},{"label":"ipred_0.9-15.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/ipred_0.9-15.tgz"},{"label":"ipred_0.9-15.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/ipred_0.9-15.tgz"},{"label":"ipred archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/ipred"}]
Text
Package source: ipred_0.9-15.tar.gz Windows binaries: r-devel: ipred_0.9-15.zip , r-release: ipred_0.9-15.zip , r-oldrel: ipred_0.9-15.zip macOS binaries: r-release (arm64): ipred_0.9-15.tgz , r-oldrel (arm64): ipred_0.9-15.tgz , r-release (x86_64): ipred_0.9-15.tgz , r-oldrel (x86_64): ipred_0.9-15.tgz Old sources: ipred archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"ClassificationEnsembles","section":"","type":"","url":"https://cran.r-project.org/web/packages/ClassificationEnsembles/index.html"},{"label":"LogisticEnsembles","section":"","type":"","url":"https://cran.r-project.org/web/packages/LogisticEnsembles/index.html"},{"label":"NumericEnsembles","section":"","type":"","url":"https://cran.r-project.org/web/packages/NumericEnsembles/index.html"},{"label":"ICcforest","section":"","type":"","url":"https://cran.r-project.org/web/packages/ICcforest/index.html"},{"label":"mlearning","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlearning/index.html"},{"label":"nlcv","section":"","type":"","url":"https://cran.r-project.org/web/packages/nlcv/index.html"},{"label":"optBiomarker","section":"","type":"","url":"https://cran.r-project.org/web/packages/optBiomarker/index.html"},{"label":"permimp","section":"","type":"","url":"https://cran.r-project.org/web/packages/permimp/index.html"},{"label":"pomodoro","section":"","type":"","url":"https://cran.r-project.org/web/packages/pomodoro/index.html"},{"label":"recipes","section":"","type":"","url":"https://cran.r-project.org/web/packages/recipes/index.html"},{"label":"RecordLinkage","section":"","type":"","url":"https://cran.r-project.org/web/packages/RecordLinkage/index.html"},{"label":"RTextTools","section":"","type":"","url":"https://cran.r-project.org/web/packages/RTextTools/index.html"},{"label":"survcomp","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/survcomp.html"},{"label":"utsf","section":"","type":"","url":"https://cran.r-project.org/web/packages/utsf/index.html"},{"label":"butcher","section":"","type":"","url":"https://cran.r-project.org/web/packages/butcher/index.html"},{"label":"CanonicalFamilyExtra","section":"","type":"","url":"https://cran.r-project.org/web/packages/CanonicalFamilyExtra/index.html"},{"label":"caret","section":"","type":"","url":"https://cran.r-project.org/web/packages/caret/index.html"},{"label":"censored","section":"","type":"","url":"https://cran.r-project.org/web/packages/censored/index.html"},{"label":"daltoolbox","section":"","type":"","url":"https://cran.r-project.org/web/packages/daltoolbox/index.html"},{"label":"MLInterfaces","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/MLInterfaces.html"}]
Text
Reverse depends: ClassificationEnsembles , LogisticEnsembles , NumericEnsembles Reverse imports: ICcforest , mlearning , nlcv , optBiomarker , permimp , pomodoro , recipes , RecordLinkage , RTextTools , survcomp , utsf Reverse suggests: butcher , CanonicalFamilyExtra , caret , censored , daltoolbox , MLInterfaces , party , pdp , subsemble , SuperLearner
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=ipred","section":"","type":"","url":"https://CRAN.R-project.org/package=ipred"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=ipred to link to this page.
Materials 1
NEWS
Documentation 5
ipred.htmlipred.pdfSome more or less useful examples for illustration.sourceR code
Vignettes 3
Some more or less useful examples for illustration.sourceR code
Downloads 9
ipred_0.9-15.tar.gzipred_0.9-15.zipipred_0.9-15.zipipred_0.9-15.zipipred_0.9-15.tgzipred_0.9-15.tgzipred_0.9-15.tgzipred_0.9-15.tgzipred archive
All page links 58
rpartMASSsurvivalnnetclassprodlimmvtnormmlbenchTH.datarandomForestparty10.32614/CRAN.package.ipredGPL-2GPL-3COPYRIGHTSNEWSEnvironmetricsMachineLearningSurvivalipred resultsipred.htmlipred.pdfSome more or less useful examples for illustration.sourceR codeipred_0.9-15.tar.gzipred_0.9-15.zipipred_0.9-15.zipipred_0.9-15.zipipred_0.9-15.tgzipred_0.9-15.tgzipred_0.9-15.tgzipred_0.9-15.tgzipred archiveClassificationEnsemblesLogisticEnsemblesNumericEnsemblesICcforestmlearningnlcvoptBiomarkerpermimppomodororecipesRecordLinkageRTextToolssurvcomputsfbutcherCanonicalFamilyExtracaretcensoreddaltoolboxMLInterfacespdpsubsembleSuperLearnerhttps://CRAN.R-project.org/package=ipred

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.9-142023-03-092026-05-312026-05-31
CRAN0.9-132022-06-022026-05-312026-05-31
CRAN0.9-122021-09-152026-05-312026-05-31
CRAN0.9-112021-03-122026-05-312026-05-31
CRAN0.9-102021-03-042026-05-312026-05-31
CRAN0.9-92019-04-282026-05-312026-05-31
CRAN0.9-82018-11-052026-05-312026-05-31
CRAN0.9-72018-08-142026-05-312026-05-31
CRAN0.9-62017-03-012026-05-312026-05-31
CRAN0.9-52015-07-282026-05-312026-05-31
CRAN0.9-42015-02-242026-05-312026-05-31
CRAN0.9-32013-12-202026-05-312026-05-31
CRAN0.9-22013-09-032026-05-312026-05-31
CRAN0.9-12012-11-142026-05-312026-05-31
CRAN0.9-02012-10-222026-05-312026-05-31
CRAN0.8-132012-02-212026-05-312026-05-31
CRAN0.8-122012-02-202026-05-312026-05-31
CRAN0.8-112011-02-082026-05-312026-05-31
CRAN0.8-102011-02-022026-05-312026-05-31
CRAN0.8-92011-01-272026-05-312026-05-31
CRAN0.8-82009-09-102026-05-312026-05-31
CRAN0.8-72009-03-282026-05-312026-05-31
CRAN0.8-62008-08-072026-05-312026-05-31
CRAN0.8-52007-10-102026-05-312026-05-31
CRAN0.8-42007-10-092026-05-312026-05-31
CRAN0.8-32005-06-292026-05-312026-05-31
CRAN0.8-22004-12-102026-05-312026-05-31
CRAN0.8-12004-11-272026-05-312026-05-31
CRAN0.8-02004-08-022026-05-312026-05-31
CRAN0.7-92004-05-132026-05-312026-05-31
CRAN0.7-72004-02-132026-05-312026-05-31
CRAN0.7-62004-01-162026-05-312026-05-31
CRAN0.7-52003-12-202026-05-312026-05-31
CRAN0.7-42003-12-172026-05-312026-05-31
CRAN0.7-32003-11-042026-05-312026-05-31
CRAN0.7-22003-10-302026-05-312026-05-31
CRAN0.7-12003-08-122026-05-312026-05-31
CRAN0.6-142003-03-142026-05-312026-05-31
CRAN0.6-112003-03-052026-05-312026-05-31
CRAN0.6-92003-02-252026-05-312026-05-31
CRAN0.6-72003-02-172026-05-312026-05-31
CRAN0.6-62003-02-072026-05-312026-05-31
CRAN0.6-52003-02-072026-05-312026-05-31
CRAN0.6-42002-12-182026-05-312026-05-31
CRAN0.6-32002-12-032026-05-312026-05-31
CRAN0.6-22002-10-182026-05-312026-05-31
CRAN0.6-12002-10-052026-05-312026-05-31
CRAN0.6-02002-09-302026-05-312026-05-31
CRAN0.4-62002-06-282026-05-312026-05-31
CRAN0.4-52002-06-172026-05-312026-05-31
CRAN0.4-42002-05-202026-05-312026-05-31
CRAN0.4-32002-05-082026-05-312026-05-31
CRAN0.4-12002-04-092026-05-312026-05-31
CRAN0.4-02002-03-292026-05-312026-05-31
CRAN0.9-152026-05-312026-06-04

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Analysis of Ecological and Environmental Data · 2026-06-04Machine Learning & Statistical Learning · 2026-06-04Survival Analysis · 2026-06-04