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 ehu.eus> |
| 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: PerMallows_1.13.zip, r-release: PerMallows_1.13.zip, r-oldrel: PerMallows_1.13.zip |
| OS X El Capitan binaries: | r-release: PerMallows_1.13.tgz |
| OS X Mavericks binaries: | r-oldrel: PerMallows_1.13.tgz |
| Old sources: | PerMallows archive |
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