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).


Reference manual

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1.13 by Ekhine Irurozki, 2 years ago

Browse source code at

Authors: Ekhine Irurozki <[email protected]> , Borja Calvo <[email protected]> , Jose A. Lozano <[email protected]>

Documentation:   PDF Manual  

Task views:

GPL (>= 2) license

Imports utils

Depends on Rcpp

Linking to Rcpp

Suggested by BayesMallows.

See at CRAN