Nmix
2.0.5Bayesian Inference on Univariate Normal Mixtures
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Overview
About
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.
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Slowest check: 1.2 min · r-release-windows-x86_64
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
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- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
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- References docs
- 80%
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Also on408 r2u21 autocran
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Code & Tests
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Package Timeline
9 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.0.5Latest
- 2.0.42023-07-19 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 2.0.32022-04-06 · diff ↗
- 2.0.22022-04-02 · diff ↗
- 2.0.12022-03-28 · diff ↗
- 2.0.02022-03-26 · diff ↗
- 1.2.12022-02-01 · diff ↗
- 1.2.02022-01-27 · diff ↗
- 1.1.22022-01-12
- RR 4.1.0 released · 2021-05-18
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Package metadata
- First published
- 2022-01-12
- Total releases
- 9 / 4 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 2.8 KB / 3 files
- Download size
- 33 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet