Rankcluster: Model-Based Clustering for Multivariate Partial Ranking Data

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

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Files in this package

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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