mcmcPotts {bayesImageS} | R Documentation |
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. |
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.