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 ehu.eus> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Citation: |
PerMallows citation info |
| CRAN checks: |
PerMallows results |
Documentation:
Downloads:
Reverse dependencies:
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