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Model-based clustering of mixed data (i.e. data which consist of continuous, binary, ordinal or nominal variables) using a parsimonious mixture of latent Gaussian variable models.
| Version: | 1.2.1 |
| Depends: | R (≥ 3.3.2) |
| Imports: | ggplot2, mclust, reshape2, MASS, msm, mvtnorm, parallel, truncnorm, viridis, stats |
| Published: | 2017-05-08 |
| Author: | Damien McParland [aut, cre], Isobel Claire Gormley [aut] |
| Maintainer: | Damien McParland <damien.mcparland at ucd.ie> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | clustMD results |
| Reference manual: | clustMD.pdf |
| Package source: | clustMD_1.2.1.tar.gz |
| Windows binaries: | r-devel: clustMD_1.2.1.zip, r-release: clustMD_1.2.1.zip, r-oldrel: clustMD_1.2.1.zip |
| macOS binaries: | r-release (arm64): clustMD_1.2.1.tgz, r-oldrel (arm64): clustMD_1.2.1.tgz, r-release (x86_64): clustMD_1.2.1.tgz, r-oldrel (x86_64): clustMD_1.2.1.tgz |
| Old sources: | clustMD archive |
| Reverse suggests: | kamila, MoEClust |
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