latrend: A 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.

Version: 1.1.2
Depends: R (≥ 3.6.0)
Imports: stats, methods, Rdpack, R.utils, assertthat (≥ 0.2.1), foreach, data.table (≥ 1.12.0), longitudinalData, magrittr, plyr, ggplot2, matrixStats, stackoverflow (≥ 0.3.0), clusterCrit, mclustcomp, scales, caret, lme4, mclust
Suggests: testthat (≥ 3.0.0), roxygen2 (≥ 7.1.0), knitr (≥ 1.24), rmarkdown (≥ 1.18), kml, lcmm, longclust, mixtools, flexmix, fda, funFEM, igraph, crimCV, akmedoids (≥ 1.3.0), dtwclust, mixAK, psych, qqplotr, doParallel
Published: 2021-04-14
Author: Niek Den Teuling ORCID iD [aut, cre], Steffen Pauws [ctb], Edwin van den Heuvel [ctb], Copyright © 2021 Koninklijke Philips N.V. [cph]
Maintainer: Niek Den Teuling <niek.den.teuling at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: latrend results


Reference manual: latrend.pdf
Vignettes: Implementing new models
Demonstration of latrend package
Validating cluster models
Package source: latrend_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: latrend_1.1.2.tgz, r-oldrel: latrend_1.1.2.tgz
Old sources: latrend archive


Please use the canonical form to link to this page.