PerMallows: An R package for mallows and generalized mallows models

Ekhine Irurozki, Borja Calvo, Jose A. Lozano

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
JournalJournal of Statistical Software
Volume71
DOIs
Publication statusPublished - 3 Aug 2016
Externally publishedYes

Keywords

  • Cayley
  • Generalized Mallows
  • Hamming
  • Kendall’s τ
  • Learning
  • Mallows
  • Permutation
  • R
  • Ranking
  • Sampling
  • Ulam

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