Abstract
In this paper we present the R package PerMallows, which is a complete toolbox to work with permutations, distances and some of the most popular probability models for permutations: Mallows and the Generalized Mallows models. The Mallows model is an exponential location model, considered as analogous to the Gaussian distribution. It is based on the definition of a distance between permutations. The Generalized Mallows model is its best-known extension. The package includes functions for making inference, sampling and learning such distributions. The distances considered in PerMallows are Kendall’s τ, Cayley, Hamming and Ulam.
| Original language | English |
|---|---|
| Journal | Journal of Statistical Software |
| Volume | 71 |
| DOIs | |
| Publication status | Published - 3 Aug 2016 |
| Externally published | Yes |
Keywords
- Cayley
- Generalized Mallows
- Hamming
- Kendall’s τ
- Learning
- Mallows
- Permutation
- R
- Ranking
- Sampling
- Ulam