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mixAK: Multivariate Normal Mixture Models and Mixtures of Generalized
Linear Mixed Models Including Model Based Clustering
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: |
5.7 |
| Depends: |
R (≥ 3.0.0), colorspace, lme4 (≥ 1.0) |
| Imports: |
graphics, stats, methods, splines, fastGHQuad, mnormt, parallel, coda |
| Suggests: |
mvtnorm |
| Published: |
2023-12-14 |
| Author: |
Arnošt Komárek 
[aut, cre] |
| Maintainer: |
Arnošt Komárek <arnost.komarek at mff.cuni.cz> |
| License: |
GPL (≥ 3) |
| URL: |
https://msekce.karlin.mff.cuni.cz/~komarek/ |
| NeedsCompilation: |
yes |
| Citation: |
mixAK citation info |
| Materials: |
NEWS |
| In views: |
Cluster, Survival |
| CRAN checks: |
mixAK results |
Documentation:
Downloads:
Reverse dependencies:
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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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