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

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).

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

Description

Usage

Arguments

Value

References

Examples