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

[Up] [Top]

Documentation for package ‘Ultimixt’ version 2.1

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