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.


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install.packages("longmixr")

1.0.0 by Jonas Hagenberg, 5 days ago


https://cellmapslab.github.io/longmixr/


Report a bug at https://github.com/cellmapslab/longmixr/issues


Browse source code at https://github.com/cran/longmixr


Authors: Jonas Hagenberg [aut, cre] , Matt Wilkerson [aut, cph] , Peter Waltman [aut, cph] , Max Planck Institute of Psychiatry [cph]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports checkmate, ConsensusClusterPlus, graphics, grDevices, flexmix, StatMatch, stats, utils

Suggests testthat, knitr, rmarkdown, dplyr, tidyr, ggplot2, ggalluvial, FactoMineR, factoextra, lme4, purrr


See at CRAN