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)
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 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>
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


Reference manual: longmixr.pdf
Vignettes: Example clustering analysis


Package source: longmixr_1.0.0.tar.gz
Windows binaries: r-devel: longmixr_1.0.0.zip, r-release: longmixr_1.0.0.zip, r-oldrel: longmixr_1.0.0.zip
macOS binaries: r-release (arm64): longmixr_1.0.0.tgz, r-oldrel (arm64): longmixr_1.0.0.tgz, r-release (x86_64): longmixr_1.0.0.tgz, r-oldrel (x86_64): longmixr_1.0.0.tgz


Please use the canonical form https://CRAN.R-project.org/package=longmixr to link to this page.