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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.

Versions across snapshots

VersionRepositoryFileSize
2.0.5 rolling linux/jammy R-4.5 Nmix_2.0.5.tar.gz 89.7 KiB
2.0.5 rolling linux/noble R-4.5 Nmix_2.0.5.tar.gz 91.4 KiB
2.0.5 rolling source/ R- Nmix_2.0.5.tar.gz 34.0 KiB
2.0.5 latest linux/jammy R-4.5 Nmix_2.0.5.tar.gz 89.7 KiB
2.0.5 latest linux/noble R-4.5 Nmix_2.0.5.tar.gz 91.4 KiB
2.0.5 latest source/ R- Nmix_2.0.5.tar.gz 34.0 KiB
2.0.5 2026-04-26 source/ R- Nmix_2.0.5.tar.gz 34.0 KiB
2.0.5 2026-04-23 source/ R- Nmix_2.0.5.tar.gz 34.0 KiB
2.0.5 2026-04-09 windows/windows R-4.5 Nmix_2.0.5.zip 267.6 KiB
2.0.5 2025-04-20 source/ R- Nmix_2.0.5.tar.gz 34.0 KiB