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

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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.

Author
Kaniav Kamary, Kate Lee
Date of publication
2015-12-18 06:43:04
Maintainer
Kaniav Kamary <kamary@ceremade.dauphine.fr>
License
GPL (>= 2.0)
Version
2.0

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Man pages

K.MixReparametrized
Sample from a Gaussian mixture posterior associated with a...
Plot.MixReparametrized
plot of the MCMC output produced by K.MixReparametrized
SM.MAP.MixReparametrized
summary of the output produced by K.MixReparametrized
SM.MixReparametrized
summary of the output produced by K.MixReparametrized
Ultimixt-package
set of R functions for estimating the parameters of a...

Files in this package

Ultimixt
Ultimixt/NAMESPACE
Ultimixt/R
Ultimixt/R/SM.MixReparametrized.R
Ultimixt/R/K.MixReparametrized.R
Ultimixt/R/Plot.MixReparametrized.R
Ultimixt/R/SM.MAP.MixReparametrized.R
Ultimixt/MD5
Ultimixt/DESCRIPTION
Ultimixt/man
Ultimixt/man/SM.MAP.MixReparametrized.Rd
Ultimixt/man/Ultimixt-package.Rd
Ultimixt/man/Plot.MixReparametrized.Rd
Ultimixt/man/SM.MixReparametrized.Rd
Ultimixt/man/K.MixReparametrized.Rd