Model-Based Clustering for Multivariate Partial Ranking Data

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Documentation for package ‘Rankcluster’ version 0.98.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

Rankcluster-package	Model-Based Clustering for Multivariate Partial Ranking Data
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	Multidimensional partial rank data: eurovision
frequence	Convert data storage
khi2	Khi2 test
kullback	Kullback-Leibler divergence
Output-class	Constructor of Output class
probability	Probability computation
quiz	Multidimensional rank data: quiz
rankclust	Model-based clustering for multivariate partial ranking
Rankclust-class	Constructor of Rankclust class
show-method	Show function.
simulISR	Simulate a sample of ISR(pi,mu)
sports	Rank data: sports
summary-method	Summary function.
unfrequence	Convert data
words	Rank data: words
[-method	Getter method for rankclust output