Fit the hidden Potts model using a Markov chain Monte Carlo algorithm.

mcmcPotts(y, neighbors, blocks, priors, mh, niter = 55000, nburn = 5000, truth = NULL)

y | A vector of observed pixel data. |
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neighbors | A matrix of all neighbors in the lattice, one row per pixel. |

blocks | A list of pixel indices, dividing the lattice into independent blocks. |

priors | A list of priors for the parameters of the model. |

mh | A list of options for the Metropolis-Hastings algorithm. |

niter | The number of iterations of the algorithm to perform. |

nburn | The number of iterations to discard as burn-in. |

truth | A matrix containing the ground truth for the pixel labels. |

A matrix containing MCMC samples for the parameters of the Potts model.