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

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

## Documentation for package ‘Ultimixt’ version 2.1

- DESCRIPTION file

## Help Pages

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