Framework for Clustering Longitudinal Data

A framework for clustering longitudinal datasets in a standardized way. Provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.


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install.packages("latrend")

1.0.1 by Niek Den Teuling, 15 days ago


https://github.com/philips-software/latrend


Report a bug at https://github.com/philips-software/latrend/issues


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


Authors: Niek Den Teuling [aut, cre] , Steffen Pauws [ctb] , Edwin van den Heuvel [ctb] , Copyright © 2020 Koninklijke Philips N.V. [cph]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, methods, R.utils, assertthat, foreach, data.table, longitudinalData, magrittr, plyr, ggplot2, matrixStats, stackoverflow, clusterCrit, mclustcomp, scales, caret, lme4, mclust

Suggests testthat, roxygen2, knitr, rmarkdown, kml, lcmm, longclust, mixtools, flexmix, fda, funFEM, igraph, crimCV, akmedoids, dtwclust, mixAK, psych, qqplotr


See at CRAN