| gibbsGMM {bayesImageS} | R Documentation |
Fit a mixture of Gaussians to the observed data.
gibbsGMM(y, niter = 1000, nburn = 500, priors = NULL)
y |
A vector of observed pixel data. |
niter |
The number of iterations of the algorithm to perform. |
nburn |
The number of iterations to discard as burn-in. |
priors |
A list of priors for the parameters of the model. |
A matrix containing MCMC samples for the parameters of the mixture model.