longmixr: Longitudinal Consensus Clustering with 'flexmix'
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)
Suggests:
testthat (≥ 3.0.0),
knitr,
rmarkdown,
dplyr,
tidyr,
ggplot2,
ggalluvial,
FactoMineR,
factoextra,
lme4,
purrr
Published:
2022年01月13日
Author:
Jonas Hagenberg
ORCID iD
[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>
NeedsCompilation:
no
Documentation:
Downloads:
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