expectation.gmm

n dimensional real vector with the
  dispersion parameters

theta

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

dist.name

Compute the expected distance in the GMM under the Hamming
distance

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.

expectation.gmm: Compute the expected distance, GMM under the Hamming distance

Description

Usage

Arguments

Value

Examples