EconPapers    
Economics at your fingertips  
 

PerMallows: An R Package for Mallows and Generalized Mallows Models

Ekhine Irurozki, Borja Calvo and Jose A. Lozano

Journal of Statistical Software, 2016, vol. 071, issue i12

Abstract: In this paper we present the R package PerMallows, which is a complete toolbox to work with permutations, distances and some of the most popular probability models for permutations: Mallows and the Generalized Mallows models. The Mallows model is an exponential location model, considered as analogous to the Gaussian distribution. It is based on the definition of a distance between permutations. The Generalized Mallows model is its best-known extension. The package includes functions for making inference, sampling and learning such distributions. The distances considered in PerMallows are Kendall's τ , Cayley, Hamming and Ulam.

Date: 2016-08-03
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v071i12/v71i12.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... rMallows_1.12.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v071i12/v71i12.R

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:071:i12

DOI: 10.18637/jss.v071.i12

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().

 
Page updated 2025-03-19
Handle: RePEc:jss:jstsof:v:071:i12