anticlust

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / anticlust

anticlust

v0.8.14

anticlust

Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation yes

Package page Reference Source DOI

DOI

10.32614/CRAN.package.anticlust

Reverse imports

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Reverse imports

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

0.8.14

License

MIT + file LICENSE

Lifecycle

active

Needs compilation

yes

Reverse imports

Last observed

2026-05-30

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

수집 소스별 패키지 정보

1개 소스

CRAN

0.8.14

2026-05-30

License

MIT + file LICENSE

Depends

R (>= 3.6.0)

Imports

Matrix, RANN (>= 2.6.0), lpSolve

Suggests

knitr, MASS, Rglpk, rmarkdown, Rsymphony, tinytest, gurobi, tableone, palmerpenguins

Needs compilation

yes

Reverse imports

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 12개

Package	Type	Spec
lpSolve CRAN · 0.8.14 · 2026-05-30	Imports	lpSolve
Matrix CRAN · 0.8.14 · 2026-05-30	Imports	Matrix
RANN CRAN · 0.8.14 · 2026-05-30	Imports	RANN (>= 2.6.0)
gurobi CRAN · 0.8.14 · 2026-05-30	Suggests	gurobi
knitr CRAN · 0.8.14 · 2026-05-30	Suggests	knitr
MASS CRAN · 0.8.14 · 2026-05-30	Suggests	MASS
palmerpenguins CRAN · 0.8.14 · 2026-05-30	Suggests	palmerpenguins
Rglpk CRAN · 0.8.14 · 2026-05-30	Suggests	Rglpk
rmarkdown CRAN · 0.8.14 · 2026-05-30	Suggests	rmarkdown
Rsymphony CRAN · 0.8.14 · 2026-05-30	Suggests	Rsymphony
tableone CRAN · 0.8.14 · 2026-05-30	Suggests	tableone
tinytest CRAN · 0.8.14 · 2026-05-30	Suggests	tinytest
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이 패키지를 쓰는 패키지

2개 표시전체 2개

Package	Type	Spec
CEGO 2.4.4 CRAN · 2026-05-30	Imports	anticlust
chopin 0.9.9-5 CRAN · 2026-05-30	Imports	anticlust
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Reverse dependency summary

1 types

Type	Packages
Imports	2

패키지 페이지

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All links

Repository: CRAN
Version: 0.8.14
Collected: 2026-05-20 21:33:35
Package page: https://cran.r-project.org/web/packages/anticlust/index.html
DOI: 10.32614/CRAN.package.anticlust
Citation: https://cran.r-project.org/web/packages/anticlust/citation.html
CRAN checks: https://cran.r-project.org/web/checks/check_results_anticlust.html
Reference HTML: https://cran.r-project.org/web/packages/anticlust/refman/anticlust.html
Reference PDF: https://cran.r-project.org/web/packages/anticlust/anticlust.pdf
Source package: https://cran.r-project.org/src/contrib/anticlust_0.8.14.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/anticlust

Page fields

Author: Martin Papenberg [aut, cre], Meik Michalke [ctb] (centroid based clustering algorithm), Gunnar W. Klau [ths], Juliane V. Nagel [ctb] (package logo), Martin Breuer [ctb] (Bicriterion algorithm by Brusco et al.), Marie L. Schaper [ctb] (Example data set), Max Diekhoff [ctb] (Optimal maximum dispersion algorithm), Hannah Hengelbrock [ctb] (TPSDP heuristic by Yang et al.)
BugReports: https://github.com/m-Py/anticlust/issues
CRAN Checks: anticlust results
Citation: anticlust citation info
DOI: 10.32614/CRAN.package.anticlust
License: MIT + file LICENSE
Maintainer: Martin Papenberg <martin.papenberg at hhu.de>
NeedsCompilation: yes
Old Sources: anticlust archive
Package Source: anticlust_0.8.14.tar.gz
Published: 2026-04-15
Reference Manual: anticlust.html , anticlust.pdf
Reverse Imports: CEGO , chopin
SystemRequirements: Rendering the vignette requires pandoc (<https://pandoc.org/>).
URL: https://github.com/m-Py/anticlust , https://m-py.github.io/anticlust/
Version: 0.8.14
Vignettes: Anticlustering_in_2025 ( source , R code ) Some best practices for anticlustering ( source , R code ) Using categorical variables with anticlustering ( source , R code ) Speeding up anticlustering ( source , R code ) Using the R package anticlust for stimulus selection in experiments ( source , R code )
Windows Binaries: r-devel: anticlust_0.8.14.zip , r-release: anticlust_0.8.14.zip , r-oldrel: anticlust_0.8.14.zip
MacOS Binaries: r-release (arm64): anticlust_0.8.14.tgz , r-oldrel (arm64): anticlust_0.8.14.tgz , r-release (x86_64): anticlust_0.8.14.tgz , r-oldrel (x86_64): anticlust_0.8.14.tgz

Version

0.8.14

Published

2026-04-15

DOI

10.32614/CRAN.package.anticlust

Author

Martin Papenberg [aut, cre], Meik Michalke [ctb] (centroid based clustering algorithm), Gunnar W. Klau [ths], Juliane V. Nagel [ctb] (package logo), Martin Breuer [ctb] (Bicriterion algorithm by Brusco et al.), Marie L. Schaper [ctb] (Example data set), Max Diekhoff [ctb] (Optimal maximum dispersion algorithm), Hannah Hengelbrock [ctb] (TPSDP heuristic by Yang et al.)

https://orcid.org/0000-0002-9900-4268

Maintainer

Martin Papenberg <martin.papenberg at hhu.de>

BugReports

https://github.com/m-Py/anticlust/issues

License

MIT + file LICENSE

MIT LICENSE

URL

https://github.com/m-Py/anticlust , https://m-py.github.io/anticlust/

https://github.com/m-Py/anticlust https://m-py.github.io/anticlust/

NeedsCompilation

yes

SystemRequirements

Rendering the vignette requires pandoc (<https://pandoc.org/>).

Citation

anticlust citation info

CRAN Checks

anticlust results

Reference Manual

anticlust.html , anticlust.pdf

anticlust.html anticlust.pdf

Vignettes

Anticlustering_in_2025 ( source , R code ) Some best practices for anticlustering ( source , R code ) Using categorical variables with anticlustering ( source , R code ) Speeding up anticlustering ( source , R code ) Using the R package anticlust for stimulus selection in experiments ( source , R code )

Anticlustering_in_2025 source R code Some best practices for anticlustering source R code Using categorical variables with anticlustering source R code Speeding up anticlustering source R code Using the R package anticlust for stimulus selection in experiments source R code

Package Source

anticlust_0.8.14.tar.gz

Windows Binaries

r-devel: anticlust_0.8.14.zip , r-release: anticlust_0.8.14.zip , r-oldrel: anticlust_0.8.14.zip

anticlust_0.8.14.zip anticlust_0.8.14.zip anticlust_0.8.14.zip

MacOS Binaries

r-release (arm64): anticlust_0.8.14.tgz , r-oldrel (arm64): anticlust_0.8.14.tgz , r-release (x86_64): anticlust_0.8.14.tgz , r-oldrel (x86_64): anticlust_0.8.14.tgz

anticlust_0.8.14.tgz anticlust_0.8.14.tgz anticlust_0.8.14.tgz anticlust_0.8.14.tgz

Old Sources

anticlust archive

Reverse Imports

CEGO , chopin

CEGO chopin

Page sections 4

Documentation

Heading

Documentation

Links

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Text

Reference manual: anticlust.html , anticlust.pdf Vignettes: Anticlustering_in_2025 ( source , R code ) Some best practices for anticlustering ( source , R code ) Using categorical variables with anticlustering ( source , R code ) Speeding up anticlustering ( source , R code ) Using the R package anticlust for stimulus selection in experiments ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"anticlust_0.8.14.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/anticlust_0.8.14.tar.gz"},{"label":"anticlust_0.8.14.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/anticlust_0.8.14.zip"},{"label":"anticlust_0.8.14.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/anticlust_0.8.14.zip"},{"label":"anticlust_0.8.14.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/anticlust_0.8.14.zip"},{"label":"anticlust_0.8.14.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/anticlust_0.8.14.tgz"},{"label":"anticlust_0.8.14.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/anticlust_0.8.14.tgz"},{"label":"anticlust_0.8.14.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/anticlust_0.8.14.tgz"},{"label":"anticlust_0.8.14.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/anticlust_0.8.14.tgz"},{"label":"anticlust archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/anticlust"}]

Text

Package source: anticlust_0.8.14.tar.gz Windows binaries: r-devel: anticlust_0.8.14.zip , r-release: anticlust_0.8.14.zip , r-oldrel: anticlust_0.8.14.zip macOS binaries: r-release (arm64): anticlust_0.8.14.tgz , r-oldrel (arm64): anticlust_0.8.14.tgz , r-release (x86_64): anticlust_0.8.14.tgz , r-oldrel (x86_64): anticlust_0.8.14.tgz Old sources: anticlust archive

Reverse dependencies

Heading

Reverse dependencies

Links

[{"label":"CEGO","section":"","type":"","url":"https://cran.r-project.org/web/packages/CEGO/index.html"},{"label":"chopin","section":"","type":"","url":"https://cran.r-project.org/web/packages/chopin/index.html"}]

Text

Reverse imports: CEGO , chopin

Linking

Heading

Linking

Links

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

Text

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

Documentation 17

anticlust.html anticlust.pdf Anticlustering_in_2025 source R code Some best practices for anticlustering source R code Using categorical variables with anticlustering source R code Speeding up anticlustering source R code Using the R package anticlust for stimulus selection in experiments source R code

Vignettes 15

Downloads 9

anticlust_0.8.14.tar.gz anticlust_0.8.14.zip anticlust_0.8.14.zip anticlust_0.8.14.zip anticlust_0.8.14.tgz anticlust_0.8.14.tgz anticlust_0.8.14.tgz anticlust_0.8.14.tgz anticlust archive

All page links 49

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	0.8.14		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.