rgmm: Sample a Generalized Mallows Model

In PerMallows: Permutations and Mallows Distributions

Description

Generate a sample of n permutations from a Generalized Mallows Model (GMM).

Usage

rgmm(n, sigma0, theta, dist.name = "kendall",
  sampling.method = "multistage")

Arguments

n	the number of permutations to be generated
sigma0	central permuation of the GMM
theta	dispersion parameter vector of the GMM
dist.name	optional used name of the distance used in the GMM. One of: kendall (default), cayley, hamming
sampling.method	optional name of the sampling algorithm. One of: multistage, gibbs (default)

Value

A matrix contaning a sample of permutations from the specified ditribution

References

"Ekhine Irurozki, Borja Calvo, Jose A. Lozano (2016). PerMallows: An R Package for Mallows and Generalized Mallows Models. Journal of Statistical Software, 71(12), 1-30. doi:10.18637/jss.v071.i12"

Examples

rgmm(2,c(1,2,3,4,5),c(1,1,1,1),"kendall", "multistage")
rgmm(2,c(1,2,3,4,5),c(1,1,1,1),"cayley", "multistage")
rgmm(2,c(1,2,3,4,5),c(1,1,1,1,1),"hamming", "multistage")
rgmm(2,c(1,2,3,4,5),c(1,1,1,1),"cayley", "gibbs")
rgmm(2,c(1,2,3,4,5),c(1,1,1,1,1),"hamming", "gibbs")

Example output

Loading required package: Rcpp
     [,1] [,2] [,3] [,4] [,5]
[1,]    2    1    3    4    5
[2,]    1    3    2    4    5
     [,1] [,2] [,3] [,4] [,5]
[1,]    1    2    3    5    4
[2,]    3    2    1    4    5
     [,1] [,2] [,3] [,4] [,5]
[1,]    3    2    1    4    5
[2,]    1    4    3    2    5
     [,1] [,2] [,3] [,4] [,5]
[1,]    1    2    5    4    3
[2,]    1    3    5    4    2
     [,1] [,2] [,3] [,4] [,5]
[1,]    1    2    3    5    4
[2,]    1    4    3    5    2

PerMallows documentation built on May 2, 2019, 6:14 a.m.