Learn R Programming

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

rankdist (version 1.1.1)

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 Weighted-tau distance and geo-Weighted Kendall distance. Mixture models are also supported.

Copy Link

Version

Install

install.packages('rankdist')

Monthly Downloads

240

Version

1.1.1

License

GPL (>= 2)

Maintainer

Zhaozhi Qian

Last Published

September 16th, 2015

Functions in rankdist (1.1.1)

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

GenerateExampleTopQ

Generate simple examples of top-q rankings

GenerateExample

Generate simple examples

Create Hash Value for Rank

RankControlHamming-class

RankControlHamming Class

American Psychological Association (APA) election data

Calculate Kendall distance matrix between rankings

RankControlFootrule-class

RankControlFootrule Class

RankControlCayley-class

RankControlCayley Class

RankControlSpearman-class

RankControlSpearman Class

RankControlKendall-class

RankControlKendall Class

OrderingToRanking

Transformation between Rankings and Orderings

RankControl-class

RankControl Class

RankControlWtau-class

RankControlWdbm Class

apa_partial_obj

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

Obtain Ranking from Hash Value

Calculate Kendall distance between a pair of rankings

RankDistanceModel

Fit A Mixture of Distance-based Models

RankControlPhiComponent-class

RankControlPhiComponent Class

Find Initial Values of param

rankdist-package

A package for fitting distance based ranking models

RankControlWeightedKendall-class

RankControlWeightedKendall Class

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.