longmixr: Longitudinal Consensus Clustering with 'flexmix' (original) (raw)
An adaption of the consensus clustering approach from 'ConsensusClusterPlus' for longitudinal data. The longitudinal data is clustered with flexible mixture models from 'flexmix', while the consensus matrices are hierarchically clustered as in 'ConsensusClusterPlus'. By using the flexibility from 'flexmix' and 'FactoMineR', one can use mixed data types for the clustering.
| Version: | 1.0.0 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | checkmate, ConsensusClusterPlus, graphics, grDevices, flexmix, StatMatch, stats, utils |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, dplyr, tidyr, ggplot2, ggalluvial, FactoMineR, factoextra, lme4, purrr |
| Published: | 2022-01-13 |
| DOI: | 10.32614/CRAN.package.longmixr |
| Author: | Jonas Hagenberg  [aut, cre], Matt Wilkerson [aut, cph], Peter Waltman [aut, cph], Max Planck Institute of Psychiatry [cph] |
| Maintainer: | Jonas Hagenberg <jonas_hagenberg at psych.mpg.de> |
| BugReports: | https://github.com/cellmapslab/longmixr/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://cellmapslab.github.io/longmixr/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | longmixr results |
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