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.