pottshm

ncol


number of Metropolis-Hastings iterations


niter

beta


This function returns a simulation of a <code>n</code> by <code>m</code> grid
from a Potts distribution with <code>ncol</code> colours and a four neighbour
structure, using a Metropolis-Hastings step that avoids proposing
a value identical to the current state of the Markov chain.


Gibbs sampling

Metropolis-Hastings algorithm

Potts model

bayess contains a collection of functions that allows the
reenactment of the R programs used in the book "Bayesian
Essentials with R" (revision of "Bayesian Core") without
further programming. R code being available as well, they can
be modified by the user to conduct one's own simulations.

Christian P Robert

bayess

Bayesian Essentials with R

pottshm function


Metropolis-Hastings sampler for a Potts model with <code>ncol</code> classes


pottshm: Metropolis-Hastings sampler for a Potts model with `ncol` classes

Description

Usage

Arguments

Value

See Also

Examples