# gibbsGMM

From bayesImageS v0.6-0
by Matt Moores

##### Fit a mixture of Gaussians to the observed data.

Fit a mixture of Gaussians to the observed data.

##### Usage

`gibbsGMM(y, niter = 1000, nburn = 500, priors = NULL)`

##### Arguments

- 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.

##### Value

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

*Documentation reproduced from package bayesImageS, version 0.6-0, License: GPL (>= 2) | file LICENSE*

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