C50

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / C50

C50

v0.2.0
Repository CRANLicense GPL-3Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOINEWS
DOI
10.32614/CRAN.package.C50
Task views
Machine Learning & Statistical Learning
Reverse imports
414
Reverse depends
100

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Machine Learning & Statistical Learning
Reverse imports
414
Reverse depends
100

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
0.2.0
License
GPL-3
Lifecycle
active
Needs compilation
yes
Reverse depends
100
Reverse imports
414
Last observed
2026-06-04
CRAN
cran.r-project.org/package=C50

수집 소스별 패키지 정보

1개 소스
CRAN
0.2.0
2026-06-04
License
GPL-3
Depends
R (>= 2.10.0)
Imports
Cubist (>= 0.3.0), partykit
Suggests
covr, knitr, modeldata, rmarkdown, testthat (>= 3.0.0)
Needs compilation
yes
Reverse depends
100
Reverse imports
414
Lifecycle
active
Last observed
2026-06-04 01:07:22

이 패키지가 의존하는 패키지

5개 표시전체 7개
PackageTypeSpec
Cubist
CRAN · 0.2.0 · 2026-06-04
ImportsCubist (>= 0.3.0)
partykit
CRAN · 0.2.0 · 2026-06-04
Importspartykit
covr
CRAN · 0.2.0 · 2026-06-04
Suggestscovr
knitr
CRAN · 0.2.0 · 2026-06-04
Suggestsknitr
modeldata
CRAN · 0.2.0 · 2026-06-04
Suggestsmodeldata
1 / 2

이 패키지를 쓰는 패키지

5개 표시전체 26개
PackageTypeSpec
ClassificationEnsembles
1.0.2
CRAN · 2026-06-04
DependsC50
LogisticEnsembles
1.0.2
CRAN · 2026-06-04
DependsC50
baguette
1.1.0
CRAN · 2026-06-04
ImportsC50
dtGAP
0.0.2
CRAN · 2026-06-04
ImportsC50
ebmc
1.0.1
CRAN · 2026-06-04
ImportsC50
1 / 6

Reverse dependency summary

4 types
TypePackages
Depends2
Imports8
Suggests15
Enhances1

패키지 페이지

Reverse depends
4
Reverse imports
18
Reverse suggests
30
Reverse enhances
2
All links
60
Repository
CRAN
Version
0.2.0
Collected
2026-05-21 17:21:31
Package page
https://cran.r-project.org/web/packages/C50/index.html
DOI
10.32614/CRAN.package.C50
CRAN checks
https://cran.r-project.org/web/checks/check_results_C50.html
NEWS
https://cran.r-project.org/web/packages/C50/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/C50/refman/C50.html
Reference PDF
https://cran.r-project.org/web/packages/C50/C50.pdf
Source package
https://cran.r-project.org/src/contrib/C50_0.2.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/C50
In views
MachineLearning
Page fields
Author
Max Kuhn [aut, cre], Steve Weston [ctb], Mark Culp [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] (Author of imported C code), RuleQuest Research [cph] (Copyright holder of imported C code), Rulequest Research Pty Ltd. [cph] (Copyright holder of imported C code)
BugReports
https://github.com/topepo/C5.0/issues
CRAN Checks
C50 results
DOI
10.32614/CRAN.package.C50
In Views
MachineLearning
License
GPL-3
Maintainer
Max Kuhn <mxkuhn at gmail.com>
Materials
NEWS
NeedsCompilation
yes
Old Sources
C50 archive
Package Source
C50_0.2.0.tar.gz
Published
2025-04-03
Reference Manual
C50.html , C50.pdf
Reverse Depends
ClassificationEnsembles , LogisticEnsembles
Reverse Enhances
vip
Reverse Imports
baguette , dtGAP , ebmc , funcml , MetabolomicsBasics , ModTools , noisemodel , Pigengene , StratifiedRF
Reverse Suggests
bsnsing , butcher , CimpleG , condvis2 , fastml , MachineShop , MLPUGS , mlr , parsnip , pdp , plotmo , rules , ssc , tidyrules , tune
URL
https://topepo.github.io/C5.0/ , https://github.com/topepo/C5.0/
Version
0.2.0
Vignettes
C5.0 Classification Models ( source , R code ) Class Probability Calculations ( source , R code )
Windows Binaries
r-devel: C50_0.2.0.zip , r-release: C50_0.2.0.zip , r-oldrel: C50_0.2.0.zip
MacOS Binaries
r-release (arm64): C50_0.2.0.tgz , r-oldrel (arm64): C50_0.2.0.tgz , r-release (x86_64): C50_0.2.0.tgz , r-oldrel (x86_64): C50_0.2.0.tgz
Version
0.2.0
Published
2025-04-03
DOI
10.32614/CRAN.package.C50
10.32614/CRAN.package.C50
Author
Max Kuhn [aut, cre], Steve Weston [ctb], Mark Culp [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] (Author of imported C code), RuleQuest Research [cph] (Copyright holder of imported C code), Rulequest Research Pty Ltd. [cph] (Copyright holder of imported C code)
Maintainer
Max Kuhn <mxkuhn at gmail.com>
BugReports
https://github.com/topepo/C5.0/issues
https://github.com/topepo/C5.0/issues
License
GPL-3
GPL-3
URL
https://topepo.github.io/C5.0/ , https://github.com/topepo/C5.0/
https://topepo.github.io/C5.0/https://github.com/topepo/C5.0/
NeedsCompilation
yes
Materials
NEWS
NEWS
In Views
MachineLearning
MachineLearning
CRAN Checks
C50 results
C50 results
Reference Manual
C50.html , C50.pdf
C50.htmlC50.pdf
Vignettes
C5.0 Classification Models ( source , R code ) Class Probability Calculations ( source , R code )
C5.0 Classification ModelssourceR codeClass Probability CalculationssourceR code
Package Source
C50_0.2.0.tar.gz
C50_0.2.0.tar.gz
Windows Binaries
r-devel: C50_0.2.0.zip , r-release: C50_0.2.0.zip , r-oldrel: C50_0.2.0.zip
C50_0.2.0.zipC50_0.2.0.zipC50_0.2.0.zip
MacOS Binaries
r-release (arm64): C50_0.2.0.tgz , r-oldrel (arm64): C50_0.2.0.tgz , r-release (x86_64): C50_0.2.0.tgz , r-oldrel (x86_64): C50_0.2.0.tgz
C50_0.2.0.tgzC50_0.2.0.tgzC50_0.2.0.tgzC50_0.2.0.tgz
Old Sources
C50 archive
C50 archive
Reverse Depends
ClassificationEnsembles , LogisticEnsembles
ClassificationEnsemblesLogisticEnsembles
Reverse Imports
baguette , dtGAP , ebmc , funcml , MetabolomicsBasics , ModTools , noisemodel , Pigengene , StratifiedRF
baguettedtGAPebmcfuncmlMetabolomicsBasicsModToolsnoisemodelPigengeneStratifiedRF
Reverse Suggests
bsnsing , butcher , CimpleG , condvis2 , fastml , MachineShop , MLPUGS , mlr , parsnip , pdp , plotmo , rules , ssc , tidyrules , tune
bsnsingbutcherCimpleGcondvis2fastmlMachineShopMLPUGSmlrparsnippdpplotmorulesssctidyrulestune
Reverse Enhances
vip
vip
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"C50.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/C50/refman/C50.html"},{"label":"C50.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/C50/C50.pdf"},{"label":"C5.0 Classification Models","section":"","type":"","url":"https://cran.r-project.org/web/packages/C50/vignettes/C5.0.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/C50/vignettes/C5.0.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/C50/vignettes/C5.0.R"},{"label":"Class Probability Calculations","section":"","type":"","url":"https://cran.r-project.org/web/packages/C50/vignettes/Class_Probability_Calcs.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/C50/vignettes/Class_Probability_Calcs.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/C50/vignettes/Class_Probability_Calcs.R"}]
Text
Reference manual: C50.html , C50.pdf Vignettes: C5.0 Classification Models ( source , R code ) Class Probability Calculations ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"C50_0.2.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/C50_0.2.0.tar.gz"},{"label":"C50_0.2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/C50_0.2.0.zip"},{"label":"C50_0.2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/C50_0.2.0.zip"},{"label":"C50_0.2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/C50_0.2.0.zip"},{"label":"C50_0.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/C50_0.2.0.tgz"},{"label":"C50_0.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/C50_0.2.0.tgz"},{"label":"C50_0.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/C50_0.2.0.tgz"},{"label":"C50_0.2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/C50_0.2.0.tgz"},{"label":"C50 archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/C50"}]
Text
Package source: C50_0.2.0.tar.gz Windows binaries: r-devel: C50_0.2.0.zip , r-release: C50_0.2.0.zip , r-oldrel: C50_0.2.0.zip macOS binaries: r-release (arm64): C50_0.2.0.tgz , r-oldrel (arm64): C50_0.2.0.tgz , r-release (x86_64): C50_0.2.0.tgz , r-oldrel (x86_64): C50_0.2.0.tgz Old sources: C50 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":"baguette","section":"","type":"","url":"https://cran.r-project.org/web/packages/baguette/index.html"},{"label":"dtGAP","section":"","type":"","url":"https://cran.r-project.org/web/packages/dtGAP/index.html"},{"label":"ebmc","section":"","type":"","url":"https://cran.r-project.org/web/packages/ebmc/index.html"},{"label":"funcml","section":"","type":"","url":"https://cran.r-project.org/web/packages/funcml/index.html"},{"label":"MetabolomicsBasics","section":"","type":"","url":"https://cran.r-project.org/web/packages/MetabolomicsBasics/index.html"},{"label":"ModTools","section":"","type":"","url":"https://cran.r-project.org/web/packages/ModTools/index.html"},{"label":"noisemodel","section":"","type":"","url":"https://cran.r-project.org/web/packages/noisemodel/index.html"},{"label":"Pigengene","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/Pigengene.html"},{"label":"StratifiedRF","section":"","type":"","url":"https://cran.r-project.org/web/packages/StratifiedRF/index.html"},{"label":"bsnsing","section":"","type":"","url":"https://cran.r-project.org/web/packages/bsnsing/index.html"},{"label":"butcher","section":"","type":"","url":"https://cran.r-project.org/web/packages/butcher/index.html"},{"label":"CimpleG","section":"","type":"","url":"https://cran.r-project.org/web/packages/CimpleG/index.html"},{"label":"condvis2","section":"","type":"","url":"https://cran.r-project.org/web/packages/condvis2/index.html"},{"label":"fastml","section":"","type":"","url":"https://cran.r-project.org/web/packages/fastml/index.html"},{"label":"MachineShop","section":"","type":"","url":"https://cran.r-project.org/web/packages/MachineShop/index.html"},{"label":"MLPUGS","section":"","type":"","url":"https://cran.r-project.org/web/packages/MLPUGS/index.html"},{"label":"mlr","section":"","type":"","url":"https://cran.r-project.org/web/packages/mlr/index.html"},{"label":"parsnip","section":"","type":"","url":"https://cran.r-project.org/web/packages/parsnip/index.html"}]
Text
Reverse depends: ClassificationEnsembles , LogisticEnsembles Reverse imports: baguette , dtGAP , ebmc , funcml , MetabolomicsBasics , ModTools , noisemodel , Pigengene , StratifiedRF Reverse suggests: bsnsing , butcher , CimpleG , condvis2 , fastml , MachineShop , MLPUGS , mlr , parsnip , pdp , plotmo , rules , ssc , tidyrules , tune Reverse enhances: vip
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=C50","section":"","type":"","url":"https://CRAN.R-project.org/package=C50"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=C50 to link to this page.
Materials 1
NEWS
Documentation 8
C50.htmlC50.pdfC5.0 Classification ModelssourceR codeClass Probability CalculationssourceR code
Vignettes 6
C5.0 Classification ModelssourceR codeClass Probability CalculationssourceR code
Downloads 9
C50_0.2.0.tar.gzC50_0.2.0.zipC50_0.2.0.zipC50_0.2.0.zipC50_0.2.0.tgzC50_0.2.0.tgzC50_0.2.0.tgzC50_0.2.0.tgzC50 archive
All page links 60
Cubistpartykitcovrknitrmodeldatarmarkdowntestthat10.32614/CRAN.package.C50https://github.com/topepo/C5.0/issuesGPL-3https://topepo.github.io/C5.0/https://github.com/topepo/C5.0/NEWSMachineLearningC50 resultsC50.htmlC50.pdfC5.0 Classification ModelssourceR codeClass Probability CalculationssourceR codeC50_0.2.0.tar.gzC50_0.2.0.zipC50_0.2.0.zipC50_0.2.0.zipC50_0.2.0.tgzC50_0.2.0.tgzC50_0.2.0.tgzC50_0.2.0.tgzC50 archiveClassificationEnsemblesLogisticEnsemblesbaguettedtGAPebmcfuncmlMetabolomicsBasicsModToolsnoisemodelPigengeneStratifiedRFbsnsingbutcherCimpleGcondvis2fastmlMachineShopMLPUGSmlrparsnippdpplotmorulesssctidyrulestuneviphttps://CRAN.R-project.org/package=C50

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN0.1.82023-02-082026-05-312026-05-31
CRAN0.1.72022-11-092026-05-312026-05-31
CRAN0.1.62022-02-052026-05-312026-05-31
CRAN0.1.52021-06-012026-05-312026-05-31
CRAN0.1.42021-05-162026-05-312026-05-31
CRAN0.1.3.12020-05-262026-05-312026-05-31
CRAN0.1.32020-01-132026-05-312026-05-31
CRAN0.1.22018-05-222026-05-312026-05-31
CRAN0.1.12017-12-012026-05-312026-05-31
CRAN0.1.0-242015-03-092026-05-312026-05-31
CRAN0.1.0-212014-11-182026-05-312026-05-31
CRAN0.1.0-192014-06-072026-05-312026-05-31
CRAN0.1.0-162014-02-042026-05-312026-05-31
CRAN0.1.0-152013-05-272026-05-312026-05-31
CRAN0.1.0-142013-02-212026-05-312026-05-31
CRAN0.1.0-0132012-10-192026-05-312026-05-31
CRAN0.0.92012-08-302026-05-312026-05-31
CRAN0.2.02026-06-012026-06-04

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Machine Learning & Statistical Learning · 2026-06-04