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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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