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.


Reference manual

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1.0.0 by Jonas Hagenberg, 5 days ago


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