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 |
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| Author | Peter Green [aut, cre] (<https://orcid.org/0000-0002-4367-4756>) |
| Maintainer | Peter Green <P.J.Green@bristol.ac.uk> |
| License | GPL (>= 2) |
| Version | 2.0.5 |
| Package repository | View on CRAN |
| Installation |
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