Bayesian Inference on Univariate Normal Mixtures
tools:::Rd_package_title("Nmix")
Bayesian Inference on Univariate Normal Mixtures
Plotting for Bayesian Inference on Univariate Normal Mixtures
Printing for Bayesian Inference on Univariate Normal Mixtures
Reading binary file of structured binary numerical data
Random number initialiser, allowing retrospective replication
Summary for Bayesian Inference on Univariate Normal Mixtures
A program for Bayesian analysis of univariate normal mixtures with an unknown number of components, following the approach of Richardson and Green (1997) <doi:10.1111/1467-9868.00095>. This makes use of reversible jump Markov chain Monte Carlo methods that are capable of jumping between the parameter sub-spaces corresponding to different numbers of components in the mixture. A sample from the full joint distribution of all unknown variables is thereby generated, and this can be used as a basis for a thorough presentation of many aspects of the posterior distribution.