permutation2decomposition

perm

optional the name of the distance. One
  of: kendall (default), cayley, hamming

dist.name

Given a permutation and a distance name generate the
decomposition vector

This package includes functions to work with the Mallows, Generalized Mallows and Weighted 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 in those related with the Kendall's-$\tau$, Cayley, Ulam and Hamming distances and the random generation of permutations.

permutation2decomposition: Get the decomposition vector

Description

Usage

Arguments

Value

Examples