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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