gibbsGMM {bayesImageS} | R Documentation |

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

### Description

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.

[Package

*bayesImageS*version 0.6-1 Index]