distKendall

The Kendall distance between two ranks is the number of pairs that are in different order in the two ranks.

Implementation of a model-based clustering algorithm for
ranking data (C. Biernacki, J. Jacques (2013) <doi:10.1016/j.csda.2012.08.008>).
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.

Quentin Grimonprez

Rankcluster

Model-Based Clustering for Multivariate Partial Ranking Data

Julien Jacques

Christophe Biernacki

distKendall function

<dl><dt>x, y</dt>
<dd>two ranks of size m.</dd>
<dt>type</dt>
<dd>type of the rank representation ("ordering" ou "ranking").</dd></dl>

Arguments

Author

Kendall distance between two ranks — distKendall

<dl>

<dt>x, y</dt>
<dd>two ranks of size m.</dd>


<dt>type</dt>
<dd>type of the rank representation ("ordering" ou "ranking").</dd>

</dl>

distKendall: Kendall distance between two ranks

Description

Usage

Value

Arguments

Author

References

See Also

Examples