Nmix: 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.

Package details

AuthorPeter Green [aut, cre] (<https://orcid.org/0000-0002-4367-4756>)
MaintainerPeter Green <P.J.Green@bristol.ac.uk>
LicenseGPL (>= 2)
Version2.0.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Nmix")

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Nmix documentation built on Sept. 20, 2023, 1:06 a.m.