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.

Version: 2.0
Depends: coda, gtools, graphics, grDevices, stats
Published: 2015-12-18
Author: Kaniav Kamary, Kate Lee
Maintainer: Kaniav Kamary <kamary at ceremade.dauphine.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
CRAN checks: Ultimixt results


Reference manual: Ultimixt.pdf
Package source: Ultimixt_2.0.tar.gz
Windows binaries: r-devel: Ultimixt_2.0.zip, r-release: Ultimixt_2.0.zip, r-oldrel: Ultimixt_2.0.zip
OS X Mavericks binaries: r-release: Ultimixt_2.0.tgz, r-oldrel: Ultimixt_2.0.tgz


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