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).
Package details |
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Author | Ekhine Irurozki [aut, cre], Borja Calvo [aut], Jose A. Lozano [aut] |
Maintainer | Ekhine Irurozki <irurozki@telecom-paris.fr> |
License | GPL (>= 2) |
Version | 1.14 |
Package repository | View on CRAN |
Installation |
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