PerMallows: Permutations and Mallows Distributions
Version 1.13

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 <[email protected]>, Borja Calvo <[email protected]>, Jose A. Lozano <[email protected]>
Date of publication2017-04-28 23:19:26 UTC
MaintainerEkhine Irurozki <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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PerMallows documentation built on May 29, 2017, 7:25 p.m.