Package: cmbClust 0.0.2
Yang Wang
cmbClust: Conditional Mixture Modeling and Model-Based Clustering
Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.
Authors:
cmbClust_0.0.2.tar.gz
cmbClust_0.0.2.tar.gz(r-4.7-arm64)cmbClust_0.0.2.tar.gz(r-4.7-x86_64)cmbClust_0.0.2.tar.gz(r-4.6-arm64)cmbClust_0.0.2.tar.gz(r-4.6-x86_64)
cmbClust_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cmbClust/json (API)
| # Install 'cmbClust' in R: |
| install.packages('cmbClust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:88d92509d2. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 120 | ||
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 190 | ||
| linux-release-arm64 | OK | 119 | ||
| linux-release-x86_64 | OK | 122 | ||
| wasm-release | OK | 92 |
Exports:cmb.emcmb.plotcmb.search
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Conditional mixture modeling and model-based clustering | cmbClust-package |
| Australian Institute of Sport data | ais |
| Conditional mixture modeling by EM algorithm | cmb.em |
| Graphic display for the results of conditional mixture modeling and model-based clustering | cmb.plot |
| Optimal conditioning order search | cmb.search |
| Simulated datasets | smltn smltn1 smltn2 |