rankdist-package {rankdist}

A package for fitting distance based ranking models

Description

The rankdist package implements distance based probability models for ranking data. Mixture models are also supported. Ranking data are stored as S4 objects to avoid confusions about representations.

Details

Package:	rankdist
Type:	Package
Version:	1.1.4
Date:	2019-07-27
License:	GPL (>= 2)

Distance based models are effective ways to model ranking data. This package supports models based on Kendall distance and weighted Kendall distance. Mixture models can be easily fitted as well. The package includes a well-studied ranking data set, the APA Election data.

Author(s)

Zhaozhi Qian

Maintainer: Zhaozhi Qian <[e-mail]>

References

Qian Z, Yu L. H. P (2019) "Weighted Distance-Based Models for Ranking Data Using the R Package rankdist." Journal of Statistical Software, 90(5), 1-31. doi: 10.18637/jss.v090.i05

Examples

## Not run: 
fitted_model <- RankDistanceModel(rankdata,rankinit,rankctrl)

## End(Not run)