PerMallows: Permutations and Mallows Distributions

Includes functions to work with the Mallows and Generalized Mallows Models. The considered distances are Kendall's-tau, Cayley, Hamming and Ulam and it includes functions for making inference, sampling and learning such distributions, some of which are novel in the literature. As a by-product, PerMallows also includes operations for permutations, paying special attention to those related with the Kendall's-tau, Cayley, Ulam and Hamming distances. It is also possible to generate random permutations at a given distance, or with a given number of inversions, or cycles, or fixed points or even with a given length on LIS (longest increasing subsequence).

Getting started

Package details

AuthorEkhine Irurozki <ekhine.irurozqui@ehu.eus>, Borja Calvo <borja.calvo@ehu.eus>, Jose A. Lozano <ja.lozano@ehu.eus>
MaintainerEkhine Irurozki <ekhine.irurozqui@ehu.eus>
LicenseGPL (>= 2)
Version1.13
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PerMallows")

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PerMallows documentation built on May 2, 2019, 6:14 a.m.