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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.
| Version: | 1.5.16 |
| Depends: | R (≥ 4.1.0), rtkore (≥ 1.6.10) |
| Imports: | methods |
| LinkingTo: | Rcpp, rtkore (≥ 1.6.10) |
| Published: | 2024-05-15 |
| Author: | Serge Iovleff [aut, cre], Parmeet Bathia [ctb] |
| Maintainer: | Serge Iovleff <Serge.Iovleff at stkpp.org> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: | inria, University of Lille |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | NEWS |
| CRAN checks: | MixAll results |
| Reference manual: | MixAll.pdf |
| Vignettes: |
Clustering With MixAll Learning With MixAll |
| Package source: | MixAll_1.5.16.tar.gz |
| Windows binaries: | r-devel: MixAll_1.5.16.zip, r-release: MixAll_1.5.16.zip, r-oldrel: MixAll_1.5.16.zip |
| macOS binaries: | r-release (arm64): MixAll_1.5.16.tgz, r-oldrel (arm64): MixAll_1.5.16.tgz, r-release (x86_64): MixAll_1.5.16.tgz, r-oldrel (x86_64): MixAll_1.5.16.tgz |
| Old sources: | MixAll archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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