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Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.
| Version: | 0.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, parallel |
| Published: | 2022-11-03 |
| Author: | Yang Wang [aut, cre], Volodymyr Melnykov [aut], Stephen Moshier [ctb] (eigenvalue calculations in c), Rouben Rostamian [ctb] (memory allocation in c) |
| Maintainer: | Yang Wang <wangy4 at cofc.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | cmbClust results |
| Reference manual: | cmbClust.pdf |
| Package source: | cmbClust_0.0.1.tar.gz |
| Windows binaries: | r-devel: cmbClust_0.0.1.zip, r-release: cmbClust_0.0.1.zip, r-oldrel: cmbClust_0.0.1.zip |
| macOS binaries: | r-release (arm64): cmbClust_0.0.1.tgz, r-oldrel (arm64): cmbClust_0.0.1.tgz, r-release (x86_64): cmbClust_0.0.1.tgz, r-oldrel (x86_64): cmbClust_0.0.1.tgz |
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