Package: cmbClust 0.0.1
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_0.0.1.tar.gz
cmbClust_0.0.1.tar.gz(r-4.5-noble)cmbClust_0.0.1.tar.gz(r-4.4-noble)
cmbClust_0.0.1.tgz(r-4.4-emscripten)cmbClust_0.0.1.tgz(r-4.3-emscripten)
cmbClust.pdf |cmbClust.html✨
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 2 years agofrom:e332d784c1. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 31 2024 |
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 |