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).
|Author||Ekhine Irurozki <firstname.lastname@example.org>, Borja Calvo <email@example.com>, Jose A. Lozano <firstname.lastname@example.org>|
|Date of publication||2017-04-28 23:19:26 UTC|
|Maintainer||Ekhine Irurozki <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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