R: Model-Based Clustering for Multivariate Partial Ranking Data

# Model-Based Clustering for Multivariate Partial Ranking Data

## 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