Learn R Programming

⚠️There's a newer version (1.1.4) of this package.Take me there.

rankdist (version 1.1.0)

Distance Based Ranking Models

Description

Implements distance based probability models for ranking data. The supported distance metrics include Kendall distance, Spearman distance, Footrule distance, Hamming distance, and Weigthed-tau distance and geo-Weighted Kendall distance. Mixture models are also supported.

Copy Link

Version

Install

install.packages('rankdist')

Monthly Downloads

240

Version

1.1.0

License

GPL (>= 2)

Maintainer

Zhaozhi Qian

Last Published

August 19th, 2015

Functions in rankdist (1.1.0)

Calculate Kendall distance between a pair of rankings

Calculate Kendall distance matrix between rankings

Create Hash Value for Rank

Calculate Kendall distance Calculate Kendall distance matrix between one ranking and a matrix of rankings

RankControlWtau-class

RankControlWdbm Class

Find Initial Values of param

RankDistanceModel

Fit A Mixture of Distance-based Models

OrderingToRanking

Transformation between Rankings and Orderings

apa_partial_obj

American Psychological Association (APA) election data (partial rankings included)

Print a brief summary of the fitted model Print a brief summary of the fitted model. This includes information about goodness of fit as well as parameter estimation.

rankdist-package

A package for fitting distance based ranking models

RankControlKendall-class

RankControlKendall Class

RankControlPhiComponent-class

RankControlPhiComponent Class

GenerateExampleTopQ

Generate simple examples of top-q rankings

RankControlCayley-class

RankControlCayley Class

RankControlFootrule-class

RankControlFootrule Class

Obtain Ranking from Hash Value

American Psychological Association (APA) election data

RankControlSpearman-class

RankControlSpearman Class

RankControlWeightedKendall-class

RankControlWeightedKendall Class

RankControl-class

RankControl Class

RankControlHamming-class

RankControlHamming Class

GenerateExample

Generate simple examples