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MixAll: Clustering and Classification using Model-Based Mixture Models
Algorithms and methods for model-based clustering and classification. It supports various types of data: continuous, categorical and counting and can handle mixed data of these types. It can fit Gaussian (with diagonal covariance structure), gamma, categorical and Poisson models. The algorithms also support missing values. This package can be used as an independent alternative to the (not free) 'mixtcomp' software available at <https://massiccc.lille.inria.fr/>.
Getting started
Browse package contents
Package details |
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| Author | Serge Iovleff [aut, cre], Parmeet Bathia [ctb] |
| Maintainer | Serge Iovleff <Serge.Iovleff@stkpp.org> |
| License | GPL (>= 2) |
| Version | 1.5.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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