Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models.
| Version: | 5.4 |
| Depends: | R (≥ 3.0.0), colorspace, lme4 (≥ 1.0) |
| Imports: | graphics, stats, splines, fastGHQuad, mnormt, parallel, coda |
| Published: | 2022-04-19 |
| Author: | Arnošt Komárek |
| Maintainer: | Arnošt Komárek <arnost.komarek at mff.cuni.cz> |
| License: | GPL (≥ 3) |
| URL: | https://www2.karlin.mff.cuni.cz/~komarek/ |
| NeedsCompilation: | yes |
| Citation: | mixAK citation info |
| Materials: | NEWS |
| In views: | Cluster, Survival |
| CRAN checks: | mixAK results |
| Reference manual: | mixAK.pdf |
| Package source: | mixAK_5.4.tar.gz |
| Windows binaries: | r-devel: mixAK_5.4.zip, r-release: mixAK_5.4.zip, r-oldrel: mixAK_5.4.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
| Old sources: | mixAK archive |
| Reverse imports: | opGMMassessment |
| Reverse suggests: | icensBKL, latrend, miscF |
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