Package: Nmix 2.0.5
Peter Green
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.tar.gz(r-4.7-arm64)Nmix_2.0.5.tar.gz(r-4.7-x86_64)Nmix_2.0.5.tar.gz(r-4.6-arm64)Nmix_2.0.5.tar.gz(r-4.6-x86_64)
Nmix_2.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Nmix/json (API)
| # Install 'Nmix' in R: |
| install.packages('Nmix', repos = c('https://cran.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 from:22a27ea53c. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 112 | ||
| linux-devel-x86_64 | OK | 102 | ||
| source / vignettes | OK | 132 | ||
| linux-release-arm64 | OK | 98 | ||
| linux-release-x86_64 | OK | 102 | ||
| wasm-release | OK | 83 |
Exports:Nmixplot.nmixprint.nmixreadf2ciosdrnisummary.nmix
Dependencies:
