count.perms.distance

perm.length

dist.value

optional. One of: kendall (default),
  cayley, hamming, ulam

dist.name

optional can only be true if counting the
  permutations at each Ulam distance. Insted of generating
  the whole set of SYT and count of permutations per
  distance, it loads the info from a file in the disk

disk

Given a distance (kendall, cayley, hamming or ulam), the
number of items in the permutations and distance value d,
how many permutations are there at distance d from any
permutation?

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.

count.perms.distance: Count permutations at a distance

Description

Usage

Arguments

Value

Examples