WeightedCluster

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / WeightedCluster

WeightedCluster

v2.0
Repository CRANLicense GPL (>= 2)Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOINEWS
DOI
10.32614/CRAN.package.WeightedCluster
Reverse imports
157
Reverse depends
52

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

2
Reverse imports
157
Reverse depends
52

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

0
backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
2.0
License
GPL (>= 2)
Lifecycle
active
Needs compilation
yes
Reverse depends
52
Reverse imports
157
Last observed
2026-06-04
CRAN
cran.r-project.org/package=WeightedCluster

수집 소스별 패키지 정보

1개 소스
CRAN
2.0
2026-06-04
License
GPL (>= 2)
Depends
R (>= 3.0.0), TraMineR (>= 2.0-6), cluster
Imports
utils, RColorBrewer, foreach, progressr, future, doFuture, nnet, fastcluster, vegclust, lme4, margins
Suggests
RUnit, knitr, isotone, vegan, lattice, rmarkdown, Cairo, progress, DirichletReg, betareg, fpc
Needs compilation
yes
Reverse depends
52
Reverse imports
157
Lifecycle
active
Last observed
2026-06-04 01:07:23

이 패키지가 의존하는 패키지

5개 표시전체 24개
PackageTypeSpec
cluster
CRAN · 2.0 · 2026-06-04
Dependscluster
TraMineR
CRAN · 2.0 · 2026-06-04
DependsTraMineR (>= 2.0-6)
doFuture
CRAN · 2.0 · 2026-06-04
ImportsdoFuture
fastcluster
CRAN · 2.0 · 2026-06-04
Importsfastcluster
foreach
CRAN · 2.0 · 2026-06-04
Importsforeach
1 / 5

이 패키지를 쓰는 패키지

5개 표시전체 7개
PackageTypeSpec
ClusterStability
1.0.4
CRAN · 2026-06-04
DependsWeightedCluster
dTBM
3.0
CRAN · 2026-06-04
ImportsWeightedCluster
MCseqReplic
1.0.0
CRAN · 2026-06-04
ImportsWeightedCluster (>= 1.6.0)
MEDseq
1.4.2
CRAN · 2026-06-04
ImportsWeightedCluster
seqhandbook
0.1.2
CRAN · 2026-06-04
SuggestsWeightedCluster
1 / 2

Reverse dependency summary

3 types
TypePackages
Depends1
Imports3
Suggests3

패키지 페이지

Reverse depends
2
Reverse imports
6
Reverse suggests
6
All links
73
Repository
CRAN
Version
2.0
Collected
2026-05-20 15:41:11
Package page
https://cran.r-project.org/web/packages/WeightedCluster/index.html
DOI
10.32614/CRAN.package.WeightedCluster
Citation
https://cran.r-project.org/web/packages/WeightedCluster/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_WeightedCluster.html
NEWS
https://cran.r-project.org/web/packages/WeightedCluster/NEWS
Reference HTML
https://cran.r-project.org/web/packages/WeightedCluster/refman/WeightedCluster.html
Reference PDF
https://cran.r-project.org/web/packages/WeightedCluster/WeightedCluster.pdf
Source package
https://cran.r-project.org/src/contrib/WeightedCluster_2.0.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/WeightedCluster
Page fields
Author
Matthias Studer [aut, cre], Leonard Roth [ctb]
CRAN Checks
WeightedCluster results
Citation
WeightedCluster citation info
DOI
10.32614/CRAN.package.WeightedCluster
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Maintainer
Matthias Studer <matthias.studer at unige.ch>
Materials
NEWS
NeedsCompilation
yes
Old Sources
WeightedCluster archive
Package Source
WeightedCluster_2.0.tar.gz
Published
2025-12-10
Reference Manual
WeightedCluster.html , WeightedCluster.pdf
Reverse Depends
ClusterStability
Reverse Imports
dTBM , MCseqReplic , MEDseq
Reverse Suggests
seqhandbook , SuperCell , TraMineR
URL
http://mephisto.unige.ch/weightedcluster/
Version
2.0
Vignettes
Short R Tutorial: Sequence Analysis Typologies for Large Databases ( source , R code ) Short R Tutorial: Validating Sequence Analysis Typologies To be Used in Subsequent Regression ( source , R code ) Short R Tutorial: Validating Sequence Analysis Typologies Using Parametric Bootstrap ( source , R code ) Short R Tutorial: Fuzzy and Property-Based Clustering for Sequence Analysis ( source , R code ) R Tutorials: Robustness Assessment of Regressions using Cluster Analysis Typologies ( source , R code ) WeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with R ( source , R code ) Le manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec R ( source , R code ) WeightedCluster Preview ( source , R code )
Windows Binaries
r-devel: WeightedCluster_2.0.zip , r-release: WeightedCluster_2.0.zip , r-oldrel: WeightedCluster_2.0.zip
MacOS Binaries
r-release (arm64): WeightedCluster_2.0.tgz , r-oldrel (arm64): WeightedCluster_2.0.tgz , r-release (x86_64): WeightedCluster_2.0.tgz , r-oldrel (x86_64): WeightedCluster_2.0.tgz
Version
2.0
Published
2025-12-10
DOI
10.32614/CRAN.package.WeightedCluster
10.32614/CRAN.package.WeightedCluster
Author
Matthias Studer [aut, cre], Leonard Roth [ctb]
Maintainer
Matthias Studer <matthias.studer at unige.ch>
License
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
GPL-2GPL-3
URL
http://mephisto.unige.ch/weightedcluster/
http://mephisto.unige.ch/weightedcluster/
NeedsCompilation
yes
Citation
WeightedCluster citation info
WeightedCluster citation info
Materials
NEWS
NEWS
CRAN Checks
WeightedCluster results
WeightedCluster results
Reference Manual
WeightedCluster.html , WeightedCluster.pdf
WeightedCluster.htmlWeightedCluster.pdf
Vignettes
Short R Tutorial: Sequence Analysis Typologies for Large Databases ( source , R code ) Short R Tutorial: Validating Sequence Analysis Typologies To be Used in Subsequent Regression ( source , R code ) Short R Tutorial: Validating Sequence Analysis Typologies Using Parametric Bootstrap ( source , R code ) Short R Tutorial: Fuzzy and Property-Based Clustering for Sequence Analysis ( source , R code ) R Tutorials: Robustness Assessment of Regressions using Cluster Analysis Typologies ( source , R code ) WeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with R ( source , R code ) Le manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec R ( source , R code ) WeightedCluster Preview ( source , R code )
Short R Tutorial: Sequence Analysis Typologies for Large DatabasessourceR codeShort R Tutorial: Validating Sequence Analysis Typologies To be Used in Subseque...sourceR codeShort R Tutorial: Validating Sequence Analysis Typologies Using Parametric Boots...sourceR codeShort R Tutorial: Fuzzy and Property-Based Clustering for Sequence AnalysissourceR codeR Tutorials: Robustness Assessment of Regressions using Cluster Analysis Typolog...sourceR codeWeightedCluster Library Manual: A practical guide to creating typologies of traj...sourceR codeLe manuel de la librairie WeightedCluster: un guide pratique pour la creation de...source
Package Source
WeightedCluster_2.0.tar.gz
WeightedCluster_2.0.tar.gz
Windows Binaries
r-devel: WeightedCluster_2.0.zip , r-release: WeightedCluster_2.0.zip , r-oldrel: WeightedCluster_2.0.zip
WeightedCluster_2.0.zipWeightedCluster_2.0.zipWeightedCluster_2.0.zip
MacOS Binaries
r-release (arm64): WeightedCluster_2.0.tgz , r-oldrel (arm64): WeightedCluster_2.0.tgz , r-release (x86_64): WeightedCluster_2.0.tgz , r-oldrel (x86_64): WeightedCluster_2.0.tgz
WeightedCluster_2.0.tgzWeightedCluster_2.0.tgzWeightedCluster_2.0.tgzWeightedCluster_2.0.tgz
Old Sources
WeightedCluster archive
WeightedCluster archive
Reverse Depends
ClusterStability
ClusterStability
Reverse Imports
dTBM , MCseqReplic , MEDseq
dTBMMCseqReplicMEDseq
Reverse Suggests
seqhandbook , SuperCell , TraMineR
seqhandbookSuperCellTraMineR
Page sections 4
Documentation
Heading
Documentation
Links
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Text
Reference manual: WeightedCluster.html , WeightedCluster.pdf Vignettes: Short R Tutorial: Sequence Analysis Typologies for Large Databases ( source , R code ) Short R Tutorial: Validating Sequence Analysis Typologies To be Used in Subsequent Regression ( source , R code ) Short R Tutorial: Validating Sequence Analysis Typologies Using Parametric Bootstrap ( source , R code ) Short R Tutorial: Fuzzy and Property-Based Clustering for Sequence Analysis ( source , R code ) R Tutorials: Robustness Assessment of Regressions using Cluster Analysis Typologies ( source , R code ) WeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with R ( source , R code ) Le manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec R ( source , R code ) WeightedCluster Preview ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"WeightedCluster_2.0.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/WeightedCluster_2.0.tar.gz"},{"label":"WeightedCluster_2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/WeightedCluster_2.0.zip"},{"label":"WeightedCluster_2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/WeightedCluster_2.0.zip"},{"label":"WeightedCluster_2.0.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/WeightedCluster_2.0.zip"},{"label":"WeightedCluster_2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/WeightedCluster_2.0.tgz"},{"label":"WeightedCluster_2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/WeightedCluster_2.0.tgz"},{"label":"WeightedCluster_2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/WeightedCluster_2.0.tgz"},{"label":"WeightedCluster_2.0.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/WeightedCluster_2.0.tgz"},{"label":"WeightedCluster archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/WeightedCluster"}]
Text
Package source: WeightedCluster_2.0.tar.gz Windows binaries: r-devel: WeightedCluster_2.0.zip , r-release: WeightedCluster_2.0.zip , r-oldrel: WeightedCluster_2.0.zip macOS binaries: r-release (arm64): WeightedCluster_2.0.tgz , r-oldrel (arm64): WeightedCluster_2.0.tgz , r-release (x86_64): WeightedCluster_2.0.tgz , r-oldrel (x86_64): WeightedCluster_2.0.tgz Old sources: WeightedCluster archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"ClusterStability","section":"","type":"","url":"https://cran.r-project.org/web/packages/ClusterStability/index.html"},{"label":"dTBM","section":"","type":"","url":"https://cran.r-project.org/web/packages/dTBM/index.html"},{"label":"MCseqReplic","section":"","type":"","url":"https://cran.r-project.org/web/packages/MCseqReplic/index.html"},{"label":"MEDseq","section":"","type":"","url":"https://cran.r-project.org/web/packages/MEDseq/index.html"},{"label":"seqhandbook","section":"","type":"","url":"https://cran.r-project.org/web/packages/seqhandbook/index.html"},{"label":"SuperCell","section":"","type":"","url":"https://cran.r-project.org/web/packages/SuperCell/index.html"},{"label":"TraMineR","section":"","type":"","url":"https://cran.r-project.org/web/packages/TraMineR/index.html"}]
Text
Reverse depends: ClusterStability Reverse imports: dTBM , MCseqReplic , MEDseq Reverse suggests: seqhandbook , SuperCell , TraMineR
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=WeightedCluster","section":"","type":"","url":"https://CRAN.R-project.org/package=WeightedCluster"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=WeightedCluster to link to this page.
Materials 1
NEWS
Documentation 26
WeightedCluster.htmlWeightedCluster.pdfShort R Tutorial: Sequence Analysis Typologies for Large DatabasessourceR codeShort R Tutorial: Validating Sequence Analysis Typologies To be Used in Subsequent RegressionsourceR codeShort R Tutorial: Validating Sequence Analysis Typologies Using Parametric BootstrapsourceR codeShort R Tutorial: Fuzzy and Property-Based Clustering for Sequence AnalysissourceR codeR Tutorials: Robustness Assessment of Regressions using Cluster Analysis TypologiessourceR codeWeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with RsourceR codeLe manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec RsourceR codeWeightedCluster PreviewsourceR code
Vignettes 24
Short R Tutorial: Sequence Analysis Typologies for Large DatabasessourceR codeShort R Tutorial: Validating Sequence Analysis Typologies To be Used in Subsequent RegressionsourceR codeShort R Tutorial: Validating Sequence Analysis Typologies Using Parametric BootstrapsourceR codeShort R Tutorial: Fuzzy and Property-Based Clustering for Sequence AnalysissourceR codeR Tutorials: Robustness Assessment of Regressions using Cluster Analysis TypologiessourceR codeWeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with RsourceR codeLe manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec RsourceR codeWeightedCluster PreviewsourceR code
Downloads 9
WeightedCluster_2.0.tar.gzWeightedCluster_2.0.zipWeightedCluster_2.0.zipWeightedCluster_2.0.zipWeightedCluster_2.0.tgzWeightedCluster_2.0.tgzWeightedCluster_2.0.tgzWeightedCluster_2.0.tgzWeightedCluster archive
All page links 73
TraMineRclusterutilsRColorBrewerforeachprogressrfuturedoFuturennetfastclustervegclustlme4marginsRUnitknitrisotoneveganlatticermarkdownCairoprogressDirichletRegbetaregfpc10.32614/CRAN.package.WeightedClusterGPL-2GPL-3http://mephisto.unige.ch/weightedcluster/WeightedCluster citation infoNEWSWeightedCluster resultsWeightedCluster.htmlWeightedCluster.pdfShort R Tutorial: Sequence Analysis Typologies for Large DatabasessourceR codeShort R Tutorial: Validating Sequence Analysis Typologies To be Used in Subsequent RegressionsourceR codeShort R Tutorial: Validating Sequence Analysis Typologies Using Parametric BootstrapsourceR codeShort R Tutorial: Fuzzy and Property-Based Clustering for Sequence AnalysissourceR codeR Tutorials: Robustness Assessment of Regressions using Cluster Analysis TypologiessourceR codeWeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with RsourceR codeLe manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec RsourceWeightedCluster_2.0.tar.gzWeightedCluster_2.0.zipWeightedCluster_2.0.zipWeightedCluster_2.0.zipWeightedCluster_2.0.tgzWeightedCluster_2.0.tgzWeightedCluster_2.0.tgzWeightedCluster_2.0.tgzWeightedCluster archiveClusterStabilitydTBMMCseqReplicMEDseqseqhandbookSuperCellR codeWeightedCluster PreviewsourceR codehttps://CRAN.R-project.org/package=WeightedCluster

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN1.8-12024-12-102026-05-312026-05-31
CRAN1.8-02024-10-022026-05-312026-05-31
CRAN1.6-42023-07-072026-05-312026-05-31
CRAN1.6-22023-05-172026-05-312026-05-31
CRAN1.6-02021-10-052026-05-312026-05-31
CRAN1.4-12020-07-062026-05-312026-05-31
CRAN1.42019-03-212026-05-312026-05-31
CRAN1.2-12017-06-202026-05-312026-05-31
CRAN1.22014-01-192026-05-312026-05-31
CRAN1.0.12013-12-212026-05-312026-05-31
CRAN1.02013-03-012026-05-312026-05-31
CRAN2.02026-05-312026-06-04

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