PerMallows: An R Package for Mallows and Generalized Mallows Models

被引:37
|
作者
Irurozki, Ekhine [1 ]
Calvo, Borja [1 ]
Lozano, Jose A. [1 ]
机构
[1] Univ Basque Country, Fac Comp Sci, Dept Comp Sci & Artificial Intelligence, Intelligent Syst Grp, Donostia San Sebastian 20008, Spain
来源
JOURNAL OF STATISTICAL SOFTWARE | 2016年 / 71卷 / 12期
关键词
ranking; permutation; Kendall's tau; Cayley; Hamming; Ulam; Mallows; generalized Mallows; learning; sampling; R; BRADLEY-TERRY MODELS; RANKING;
D O I
10.18637/jss.v071.i12
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 tau, Cayley, Hamming and Ulam.
引用
收藏
页码:1 / 30
页数:30
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