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).

Version: 1.13
Depends: Rcpp (≥ 0.10.3)
Imports: utils
LinkingTo: Rcpp
Published: 2017-04-28
Author: Ekhine Irurozki, Borja Calvo, Jose A. Lozano
Maintainer: Ekhine Irurozki <ekhine.irurozqui at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: PerMallows citation info
CRAN checks: PerMallows results


Reference manual: PerMallows.pdf


Package source: PerMallows_1.13.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PerMallows_1.13.tgz, r-release (x86_64): PerMallows_1.13.tgz, r-oldrel: PerMallows_1.13.tgz
Old sources: PerMallows archive

Reverse dependencies:

Reverse imports: BayesMallows, PAMA


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