Bayesian Analysis of Location-Scale Mixture Models using a Weakly Informative Prior

Documentation for package ‘Ultimixt’ version 2.1

Ultimixt-package	set of R functions for estimating the parameters of mixture distribution with a Bayesian non-informative prior
K.MixPois	Sample from a Poisson mixture posterior associated with a noninformative prior and obtained by Metropolis-within-Gibbs sampling
K.MixReparametrized	Sample from a Gaussian mixture posterior associated with a noninformative prior and obtained by Metropolis-within-Gibbs sampling
Plot.MixReparametrized	plot of the MCMC output produced by K.MixReparametrized
SM.MAP.MixReparametrized	summary of the output produced by K.MixReparametrized
SM.MixPois	summary of the output produced by K.MixPois
SM.MixReparametrized	summary of the output produced by K.MixReparametrized
Ultimixt	set of R functions for estimating the parameters of mixture distribution with a Bayesian non-informative prior