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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>.
Getting started
Browse package contents
Package details |
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| Author | Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Shuchismita Sarkar [ctb], Michael Hutt [ctb, cph], Stephen Moshier [ctb, cph], Rouben Rostamian [ctb, cph], Carl Edward Rasmussen [ctb, cph], Dianne Cook [ctb, cph] |
| Maintainer | Xuwen Zhu <xzhu20@ua.edu> |
| License | GPL (>= 2) |
| Version | 0.1.18 |
| Package repository | View on CRAN |
| Installation |
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