Open AccessPerMallows: AnRPackage for Mallows and Generalized Mallows Models
Author(s) -
Ekhiñe Irurozki,
Borja Calvo,
José A. Lozano
Publication year - 2016
Publication title -
journal of statistical software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.636
H-Index - 145
ISSN - 1548-7660
DOI - 10.18637/jss.v071.i12
Subject(s) - mathematics , r package , gaussian , exponential family , combinatorics , inference , extension (predicate logic) , exponential function , discrete mathematics , computer science , statistics , artificial intelligence , mathematical analysis , physics , quantum mechanics , programming language
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.
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