gibbsGMM

0th

Percentile

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.

Aliases
  • gibbsGMM
Documentation reproduced from package bayesImageS, version 0.4-0, License: GPL (>= 2)

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