Package: Nmix 2.0.5
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.
Authors:
Nmix_2.0.5.tar.gz
Nmix_2.0.5.zip(r-4.5)Nmix_2.0.5.zip(r-4.4)Nmix_2.0.5.zip(r-4.3)
Nmix_2.0.5.tgz(r-4.4-x86_64)Nmix_2.0.5.tgz(r-4.4-arm64)Nmix_2.0.5.tgz(r-4.3-x86_64)Nmix_2.0.5.tgz(r-4.3-arm64)
Nmix_2.0.5.tar.gz(r-4.5-noble)Nmix_2.0.5.tar.gz(r-4.4-noble)
Nmix.pdf |Nmix.html✨
Nmix/json (API)
| # Install 'Nmix' in R: |
| install.packages('Nmix', repos = c('https://petergreen5678.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:22a27ea53c. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win-x86_64 | OK | Oct 31 2024 |
| R-4.5-linux-x86_64 | OK | Oct 31 2024 |
| R-4.4-win-x86_64 | OK | Oct 31 2024 |
| R-4.4-mac-x86_64 | OK | Oct 31 2024 |
| R-4.4-mac-aarch64 | OK | Oct 31 2024 |
| R-4.3-win-x86_64 | OK | Oct 31 2024 |
| R-4.3-mac-x86_64 | OK | Oct 31 2024 |
| R-4.3-mac-aarch64 | OK | Oct 31 2024 |
Exports:Nmixplot.nmixprint.nmixreadf2ciosdrnisummary.nmix
Dependencies:
