Ultimixt: Bayesian Analysis of a Non-Informative Parametrization for Gaussian Mixture Distributions

A generic reference Bayesian analysis of unidimensional mixtures of Gaussian distributions obtained by a location-scale parameterisation of the model is implemented. Included functions can be applied to produce a Bayesian analysis of Gaussian mixtures with an arbitrary number of components, with no need to define the prior distribution.

AuthorKaniav Kamary, Kate Lee
Date of publication2015-12-18 06:43:04
MaintainerKaniav Kamary <kamary@ceremade.dauphine.fr>
LicenseGPL (>= 2.0)

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