Package: MatTransMix 0.1.18
Xuwen Zhu
MatTransMix: Clustering with Matrix Gaussian and Matrix Transformation Mixture Models
Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations. For more information, please check: Xuwen Zhu, Shuchismita Sarkar, and Volodymyr Melnykov (2021), "MatTransMix: an R package for matrix model-based clustering and parsimonious mixture modeling", <doi:10.1007/s00357-021-09401-9>.
Authors:
MatTransMix_0.1.18.tar.gz
MatTransMix_0.1.18.tar.gz(r-4.5-noble)MatTransMix_0.1.18.tar.gz(r-4.4-noble)
MatTransMix_0.1.18.tgz(r-4.4-emscripten)MatTransMix_0.1.18.tgz(r-4.3-emscripten)
MatTransMix.pdf |MatTransMix.html✨
MatTransMix/json (API)
NEWS
| # Install 'MatTransMix' in R: |
| install.packages('MatTransMix', 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 2 days agofrom:0027b07c02. Checks:2 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 29 2025 |
| R-4.5-linux-x86_64 | OK | Jan 29 2025 |
Exports:MatTrans.EMMatTrans.initMatTrans.plotprint.EMsummary.EM
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Finite mixture modeling and model-based clustering of matrices based on matrix Gaussian mixture and matrix transformation mixture models. | MatTransMix-package |
| Crime data | crime |
| IMDb data | IMDb |
| EM algorithm for matrix clustering | MatTrans.EM |
| Initialization for the EM algorithm for matrix clustering | MatTrans.init |
| Mean coordinate plot | MatTrans.plot |
| Functions for Printing or Summarizing Objects | print.EM summary.EM |
| Salary data | Salary |
