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 <email@example.com>|
|License||GPL (>= 2.0)|
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...