Package: ManlyMix 0.1.15
ManlyMix: Manly Mixture Modeling and Model-Based Clustering
The utility of this package includes finite mixture modeling and model-based clustering through Manly mixture models by Zhu and Melnykov (2016) <doi:10.1016/j.csda.2016.01.015>. It also provides capabilities for forward and backward model selection procedures.
Authors:
ManlyMix_0.1.15.tar.gz
ManlyMix_0.1.15.zip(r-4.5)ManlyMix_0.1.15.zip(r-4.4)ManlyMix_0.1.15.zip(r-4.3)
ManlyMix_0.1.15.tgz(r-4.4-x86_64)ManlyMix_0.1.15.tgz(r-4.4-arm64)ManlyMix_0.1.15.tgz(r-4.3-x86_64)ManlyMix_0.1.15.tgz(r-4.3-arm64)
ManlyMix_0.1.15.tar.gz(r-4.5-noble)ManlyMix_0.1.15.tar.gz(r-4.4-noble)
ManlyMix_0.1.15.tgz(r-4.4-emscripten)ManlyMix_0.1.15.tgz(r-4.3-emscripten)
ManlyMix.pdf |ManlyMix.html✨
ManlyMix/json (API)
NEWS
| # Install 'ManlyMix' in R: |
| install.packages('ManlyMix', repos = c('https://xzhu20.r-universe.dev', 'https://cloud.r-project.org')) |
- acidity - Acidity data
- ais - Australian Institute of Sport data
- bankruptcy - Bankruptcy data
- seeds - Wheat kernel Data
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:51ee61a6ed. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 08 2024 |
| R-4.5-win-x86_64 | OK | Sep 08 2024 |
| R-4.5-linux-x86_64 | OK | Sep 08 2024 |
| R-4.4-win-x86_64 | OK | Sep 08 2024 |
| R-4.4-mac-x86_64 | OK | Sep 08 2024 |
| R-4.4-mac-aarch64 | OK | Sep 08 2024 |
| R-4.3-win-x86_64 | OK | Sep 08 2024 |
| R-4.3-mac-x86_64 | OK | Sep 08 2024 |
| R-4.3-mac-aarch64 | OK | Sep 08 2024 |
Exports:ClassAgreeManly.EMManly.KmeansManly.modelManly.overlapManly.plotManly.selectManly.simManly.var
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Finite mixture modeling and model-based clustering based on Manly mixture models. | ManlyMix-package |
| Acidity data | acidity |
| Australian Institute of Sport data | ais |
| Bankruptcy data | bankruptcy |
| Calculates the confusion matrix and number of misclassifications | ClassAgree |
| EM algorithm for Manly mixture model | Manly.EM |
| k-means algorithm with Manly transformation | Manly.Kmeans |
| Manly mixture model | Manly.model |
| Estimates the overlap for a Manly mixture | Manly.overlap |
| Density plot or contour plot for Manly mixture model | Manly.plot |
| Manly transformation selection | Manly.select |
| Simulates Manly mixture dataset | Manly.sim |
| Variability assessment of Manly mixture model | Manly.var |
| Wheat kernel Data | seeds |
