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).
|Depends:||Rcpp (≥ 0.10.3)|
|Author:||Ekhine Irurozki, Borja Calvo, Jose A. Lozano|
|Maintainer:||Ekhine Irurozki <ekhine.irurozqui at ehu.eus>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|Citation:||PerMallows citation info|
|CRAN checks:||PerMallows results|
|Windows binaries:||r-devel: PerMallows_1.12.zip, r-release: PerMallows_1.12.zip, r-oldrel: PerMallows_1.12.zip|
|OS X Mavericks binaries:||r-release: PerMallows_1.12.tgz, r-oldrel: PerMallows_1.12.tgz|
|Old sources:||PerMallows archive|
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