This package 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: | 3.1 |
| Depends: | R (≥ 2.10.0), splines, colorspace, lme4, mnormt, coda, parallel |
| Published: | 2013-06-11 |
| Author: | Arnošt Komárek |
| Maintainer: | Arnošt Komárek <arnost.komarek at mff.cuni.cz> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://msekce.karlin.mff.cuni.cz/~komarek |
| NeedsCompilation: | yes |
| In views: | Cluster, Survival |
| CRAN checks: | mixAK results |
| Package source: | mixAK_3.1.tar.gz |
| OS X binary: | not available (package either new or excluded from build, see excludes). |
| Windows binary: | mixAK_3.1.zip |
| Reference manual: | mixAK.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | mixAK archive |
| Reverse suggests: | miscF |