clustord

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / clustord

clustord

v2.0.1

clustord

Repository CRANLicense GPL-3Lifecycle activeNeeds compilation yes

Package page Reference Source DOI README

DOI

10.32614/CRAN.package.clustord

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

표시할 핵심 신호가 없습니다.

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

2.0.1

License

GPL-3

Lifecycle

active

Needs compilation

yes

Last observed

2026-05-30

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

Build fields

LinkingTo

RcppRcppArmadillo

수집 소스별 패키지 정보

1개 소스

CRAN

2.0.1

2026-05-30

License

GPL-3

Depends

R (>= 3.5.0), stats, utils

Imports

Rcpp (>= 1.0.1), MASS, nnet, flexclust, methods

Suggests

knitr, formatR, rmarkdown, testthat (>= 2.1.0), multgee, parallel

LinkingTo

Rcpp, RcppArmadillo

Needs compilation

yes

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 15개

Package	Type	Spec
stats CRAN · 2.0.1 · 2026-05-30	Depends	stats
utils CRAN · 2.0.1 · 2026-05-30	Depends	utils
flexclust CRAN · 2.0.1 · 2026-05-30	Imports	flexclust
MASS CRAN · 2.0.1 · 2026-05-30	Imports	MASS
methods CRAN · 2.0.1 · 2026-05-30	Imports	methods
nnet CRAN · 2.0.1 · 2026-05-30	Imports	nnet
Rcpp CRAN · 2.0.1 · 2026-05-30	Imports	Rcpp (>= 1.0.1)
Rcpp CRAN · 2.0.1 · 2026-05-30	LinkingTo	Rcpp
RcppArmadillo CRAN · 2.0.1 · 2026-05-30	LinkingTo	RcppArmadillo
formatR CRAN · 2.0.1 · 2026-05-30	Suggests	formatR
knitr CRAN · 2.0.1 · 2026-05-30	Suggests	knitr
multgee CRAN · 2.0.1 · 2026-05-30	Suggests	multgee
parallel CRAN · 2.0.1 · 2026-05-30	Suggests	parallel
rmarkdown CRAN · 2.0.1 · 2026-05-30	Suggests	rmarkdown
testthat CRAN · 2.0.1 · 2026-05-30	Suggests	testthat (>= 2.1.0)
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1 / 3

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0개 표시전체 0개

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패키지 페이지

All links

Repository: CRAN
Version: 2.0.1
Collected: 2026-05-22 03:28:06
Package page: https://cran.r-project.org/web/packages/clustord/index.html
DOI: 10.32614/CRAN.package.clustord
Citation: https://cran.r-project.org/web/packages/clustord/citation.html
CRAN checks: https://cran.r-project.org/web/checks/check_results_clustord.html
README: https://cran.r-project.org/web/packages/clustord/readme/README.html
Reference HTML: https://cran.r-project.org/web/packages/clustord/refman/clustord.html
Reference PDF: https://cran.r-project.org/web/packages/clustord/clustord.pdf
Source package: https://cran.r-project.org/src/contrib/clustord_2.0.1.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/clustord

Page fields

Author: Louise McMillan [aut, cre, cph], Daniel Fernández Martínez [aut], Ying Cui [aut], Eleni Matechou [aut], W. N. Venables [ctb, cph] (clustord osm regression functions and S3 methods derived by Louise McMillan from MASS package polr function by Venables and Ripley), B. D. Ripley [ctb, cph] (clustord osm regression functions and S3 methods derived by Louise McMillan from MASS package polr function by Venables and Ripley)
CRAN Checks: clustord results
Citation: clustord citation info
DOI: 10.32614/CRAN.package.clustord
License: GPL-3
LinkingTo: Rcpp , RcppArmadillo
Maintainer: Louise McMillan <louise.mcmillan at vuw.ac.nz>
Materials: README
NeedsCompilation: yes
Old Sources: clustord archive
Package Source: clustord_2.0.1.tar.gz
Published: 2026-03-03
Reference Manual: clustord.html , clustord.pdf
URL: https://vuw-clustering.github.io/clustord/
Version: 2.0.1
Vignettes: regressionWithOSM ( source , R code ) clustord Tutorial ( source , R code ) convergence ( source , R code ) clustordOrdinalModels ( source , R code ) clustordStructureSummary ( source , R code ) clustordTutorial ( source , R code )
Windows Binaries: r-devel: clustord_2.0.1.zip , r-release: clustord_2.0.1.zip , r-oldrel: clustord_2.0.1.zip
MacOS Binaries: r-release (arm64): clustord_2.0.1.tgz , r-oldrel (arm64): clustord_2.0.1.tgz , r-release (x86_64): clustord_2.0.1.tgz , r-oldrel (x86_64): clustord_2.0.1.tgz

Version

2.0.1

LinkingTo

Rcpp , RcppArmadillo

Rcpp RcppArmadillo

Published

2026-03-03

DOI

10.32614/CRAN.package.clustord

Author

Louise McMillan [aut, cre, cph], Daniel Fernández Martínez [aut], Ying Cui [aut], Eleni Matechou [aut], W. N. Venables [ctb, cph] (clustord osm regression functions and S3 methods derived by Louise McMillan from MASS package polr function by Venables and Ripley), B. D. Ripley [ctb, cph] (clustord osm regression functions and S3 methods derived by Louise McMillan from MASS package polr function by Venables and Ripley)

https://orcid.org/0000-0002-0536-8563 https://orcid.org/0000-0003-0012-2094 https://orcid.org/0000-0003-3626-844X

Maintainer

Louise McMillan <louise.mcmillan at vuw.ac.nz>

License

GPL-3

URL

https://vuw-clustering.github.io/clustord/

NeedsCompilation

yes

Citation

clustord citation info

Materials

README

CRAN Checks

clustord results

Reference Manual

clustord.html , clustord.pdf

clustord.html clustord.pdf

Vignettes

regressionWithOSM ( source , R code ) clustord Tutorial ( source , R code ) convergence ( source , R code ) clustordOrdinalModels ( source , R code ) clustordStructureSummary ( source , R code ) clustordTutorial ( source , R code )

regressionWithOSM source R code clustord Tutorial source R code convergence source R code clustordOrdinalModels source R code clustordStructureSummary source R code clustordTutorial source R code

Package Source

clustord_2.0.1.tar.gz

Windows Binaries

r-devel: clustord_2.0.1.zip , r-release: clustord_2.0.1.zip , r-oldrel: clustord_2.0.1.zip

clustord_2.0.1.zip clustord_2.0.1.zip clustord_2.0.1.zip

MacOS Binaries

r-release (arm64): clustord_2.0.1.tgz , r-oldrel (arm64): clustord_2.0.1.tgz , r-release (x86_64): clustord_2.0.1.tgz , r-oldrel (x86_64): clustord_2.0.1.tgz

clustord_2.0.1.tgz clustord_2.0.1.tgz clustord_2.0.1.tgz clustord_2.0.1.tgz

Old Sources

clustord archive

Page sections 3

Documentation

Heading

Documentation

Links

[{"label":"clustord.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/refman/clustord.html"},{"label":"clustord.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/clustord.pdf"},{"label":"regressionWithOSM","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/RegressionwithOSM.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/RegressionwithOSM.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/RegressionwithOSM.R"},{"label":"clustord Tutorial","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordAdvSettings.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordAdvSettings.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordAdvSettings.R"},{"label":"convergence","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordConvergence.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordConvergence.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordConvergence.R"},{"label":"clustordOrdinalModels","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordOrdinalModels.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordOrdinalModels.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordOrdinalModels.R"},{"label":"clustordStructureSummary","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordStructureSummary.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordStructureSummary.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordStructureSummary.R"},{"label":"clustordTutorial","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordTutorial.pdf"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordTutorial.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/clustord/vignettes/clustordTutorial.R"}]

Text

Reference manual: clustord.html , clustord.pdf Vignettes: regressionWithOSM ( source , R code ) clustord Tutorial ( source , R code ) convergence ( source , R code ) clustordOrdinalModels ( source , R code ) clustordStructureSummary ( source , R code ) clustordTutorial ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"clustord_2.0.1.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/clustord_2.0.1.tar.gz"},{"label":"clustord_2.0.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/clustord_2.0.1.zip"},{"label":"clustord_2.0.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/clustord_2.0.1.zip"},{"label":"clustord_2.0.1.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/clustord_2.0.1.zip"},{"label":"clustord_2.0.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/clustord_2.0.1.tgz"},{"label":"clustord_2.0.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/clustord_2.0.1.tgz"},{"label":"clustord_2.0.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/clustord_2.0.1.tgz"},{"label":"clustord_2.0.1.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/clustord_2.0.1.tgz"},{"label":"clustord archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/clustord"}]

Text

Package source: clustord_2.0.1.tar.gz Windows binaries: r-devel: clustord_2.0.1.zip , r-release: clustord_2.0.1.zip , r-oldrel: clustord_2.0.1.zip macOS binaries: r-release (arm64): clustord_2.0.1.tgz , r-oldrel (arm64): clustord_2.0.1.tgz , r-release (x86_64): clustord_2.0.1.tgz , r-oldrel (x86_64): clustord_2.0.1.tgz Old sources: clustord archive

Linking

Heading

Linking

Links

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

Text

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

Materials 1

README

Documentation 20

Vignettes 18

regressionWithOSM source R code clustord Tutorial source R code convergence source R code clustordOrdinalModels source R code clustordStructureSummary source R code clustordTutorial source R code

Downloads 9

clustord_2.0.1.tar.gz clustord_2.0.1.zip clustord_2.0.1.zip clustord_2.0.1.zip clustord_2.0.1.tgz clustord_2.0.1.tgz clustord_2.0.1.tgz clustord_2.0.1.tgz clustord archive

All page links 53

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	2.0.1		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.