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 |
| 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 |