A Framework for Clustering Longitudinal Data

A framework for clustering longitudinal datasets in a standardized way. The package 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. The 'akmedoids' package is available from < https://github.com/MAnalytics/akmedoids>.


Reference manual

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install.packages("latrend")

1.6.3 by Niek Den Teuling, 8 months ago


https://github.com/niekdt/latrend, https://niekdt.github.io/latrend/


Report a bug at https://github.com/niekdt/latrend/issues


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


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


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, methods, Rdpack, R.utils, assertthat, foreach, data.table, magrittr, matrixStats, rmarkdown, rlang

Suggests testthat, roxygen2, knitr, rcmdcheck, pkgdown, devtools, cluster, evaluate, lme4, reformulas, covr, lintr, tinytex, lcmm, mixtools, flexmix, fda, funFEM, gridExtra, igraph, crimCV, dtwclust, mixAK, mclust, mclustcomp, clValid, psych, qqplotr, doParallel, simTool, dplyr, ggplot2, caret, tibble, clusterCrit


See at CRAN