Rankcluster: Model-Based Clustering for Multivariate Partial Ranking Data
Version 0.94

Implementation of a model-based clustering algorithm for ranking data. Multivariate rankings as well as partial rankings are taken into account. This algorithm is based on an extension of the Insertion Sorting Rank (ISR) model for ranking data, which is a meaningful and effective model parametrized by a position parameter (the modal ranking, quoted by mu) and a dispersion parameter (quoted by pi). The heterogeneity of the rank population is modelled by a mixture of ISR, whereas conditional independence assumption is considered for multivariate rankings.

AuthorQuentin Grimonprez, Julien Jacques
Date of publication2016-07-29 00:55:17
MaintainerQuentin Grimonprez <quentin.grimonprez@inria.fr>
LicenseGPL (>= 2)
Version0.94
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("Rankcluster")

Getting started

Package overview

Popular man pages

APA: rank data : APA
convertRank: change the representation of a rank
distHamming: Hamming distance between two ranks
distSpearman: Spearman distance between two ranks
eurovision: Multidimensionnal partial rank data : eurovision
rankclust: model-based clustering for multivariate partial ranking
Rankclust-class: Constructor of Rankclust class
See all...

All man pages Function index File listing

Man pages

APA: rank data : APA
big4: rank data : big4
convertRank: change the representation of a rank
criteria: criteria estimation
distCayley: Cayley distance between two ranks
distHamming: Hamming distance between two ranks
distKendall: Kendall distance between two ranks
distSpearman: Spearman distance between two ranks
eurovision: Multidimensionnal partial rank data : eurovision
frequence: Convert data storage
getter-methods: Getter method for rankclust output
khi2: khi2 test
kullback: Kullback-Leibler divergence
Output-class: Constructor of Output class
probability: Probability computation
quiz: Multidimensionnal rank data : quiz
rankclust: model-based clustering for multivariate partial ranking
Rankclust-class: Constructor of Rankclust class
Rankcluster-package: Model-Based Clustering for Multivariate Partial Ranking Data
show-methods: show function.
simulISR: simulate a sample of ISR(pi,mu)
sports: rank data : sports
summary-methods: summary function.
unfrequence: Convert data
words: rank data : words

Functions

APA Man page
CorrelSpearman Source code
Output-class Man page
Rankclust-class Man page
Rankcluster Man page
Rankcluster-package Man page
Rankcluster-package, Man page
[ Man page
[,Rankclust-method Man page
big4 Man page
checkArgRankclust Source code
checkPartialRank Source code
checkRank Source code
checkTiePartialRank Source code
completeRank Source code
convertInter Source code
convertRank Man page Source code
criteria Man page Source code
distCayley Man page Source code
distHamming Man page Source code
distKendall Man page Source code
distKendall_ordering Source code
distKendall_ranking Source code
distSpearman Man page Source code
eurovision Man page
frequence Man page Source code
is.wholenumber Source code
khi2 Man page Source code
kullback Man page Source code
liste2d2matD Source code
liste2d2matG Source code
liste2d2matgd Source code
liste3d2array Source code
liste3d2listematgd Source code
liste3d2mat Source code
listedistPartiel Source code
mixtureSEM Source code
onAttach Source code
partition Source code
probability Man page Source code
quiz Man page
rankclust Man page Source code
show Man page
show,Output-method Man page
show,Rankclust-method Man page
simulISR Man page Source code
sports Man page
summary Man page
summary,Rankclust-method Man page
tliste3d2mat Source code
unfrequence Man page Source code
words Man page

Files

inst
inst/doc
inst/doc/Rankcluster.pdf
inst/doc/Rankcluster.Rnw
src
src/run.cpp
src/Makevars
src/RankCluster.cpp
src/runFunctions.cpp
src/runTest.cpp
src/run.h
src/functions.h
src/runFunctions.h
src/functions.cpp
src/test.h
src/RankCluster.h
src/Makevars.win
src/test.cpp
src/runTest.h
NAMESPACE
data
data/quiz.rda
data/APA.rda
data/big4.rda
data/sports.rda
data/words.rda
data/eurovision.rda
R
R/resultClass.R
R/Rankcluster-package.R
R/data.R
R/rankclust.R
R/test.R
R/conversion.R
R/criteria.R
R/RankDistance.R
R/RankFunctions.R
R/zzz.R
R/mixtureSEM.R
vignettes
vignettes/Rank-biblio.bib
vignettes/images
vignettes/images/big4-paartition.png
vignettes/images/big4-bic2.png
vignettes/images/quiz-q1.png
vignettes/images/big4-bic.png
vignettes/images/Words-BIC.png
vignettes/images/big4-partition2.png
vignettes/images/big4-partition-evolution.png
vignettes/images/quiz-q4.png
vignettes/images/quiz-q3.png
vignettes/images/Quiz-BIC.png
vignettes/images/quiz-q2.png
vignettes/images/APA-Complet-BIC.png
vignettes/images/big4-partition.png
vignettes/images/APA-BIC.png
vignettes/Rankcluster.Rnw
vignettes/elsarticle-harv.bst
MD5
build
build/vignette.rds
DESCRIPTION
man
man/summary-methods.Rd
man/words.Rd
man/distSpearman.Rd
man/distKendall.Rd
man/distCayley.Rd
man/frequence.Rd
man/kullback.Rd
man/unfrequence.Rd
man/simulISR.Rd
man/big4.Rd
man/criteria.Rd
man/APA.Rd
man/Output-class.Rd
man/Rankcluster-package.Rd
man/rankclust.Rd
man/probability.Rd
man/distHamming.Rd
man/convertRank.Rd
man/sports.Rd
man/quiz.Rd
man/eurovision.Rd
man/Rankclust-class.Rd
man/getter-methods.Rd
man/show-methods.Rd
man/khi2.Rd
Rankcluster documentation built on May 20, 2017, 2:23 a.m.

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