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Nmix

2.0.5

Bayesian Inference on Univariate Normal Mixtures

0packages depend
3.3Kdownloads / year
test coverage
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Overview

About
Maintained by Peter GreenFirst published 2022-01-129 releasesCRAN page ↗

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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CRAN checks
13OK
Slowest check: 1.2 min · r-release-windows-x86_64
Code health
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Tests · ratio 0.00
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Coverage
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  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
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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.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 2.0.5Latest
    2023-09-19 · current release · diff ↗
  • 2.0.4
    2023-07-19 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 2.0.3
    2022-04-06 · diff ↗
  • 2.0.2
    2022-04-02 · diff ↗
  • 2.0.1
    2022-03-28 · diff ↗
  • 2.0.0
    2022-03-26 · diff ↗
  • 1.2.1
    2022-02-01 · diff ↗
  • 1.2.0
    2022-01-27 · diff ↗
  • 1.1.2
    2022-01-12
  • R
    R 4.1.0 released · 2021-05-18

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
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