Description

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.

Getting started

• See vignette("demo", package = "latrend") for an introduction to conducting a longitudinal cluster analysis on a example case study.

• See vignette("custom", package = "latrend") for examples on constructing your own cluster models.

• See vignette("validation", package = "latrend") for examples on applying internal cluster validation.

Author(s)

Maintainer: Niek Den Teuling niek.den.teuling@philips.com (ORCID)

Other contributors:

• Steffen Pauws s.c.pauws@tilburguniversity.edu [contributor]

• Edwin van den Heuvel e.r.v.d.heuvel@tue.nl [contributor]

• Copyright © 2021 Koninklijke Philips N.V. [copyright holder]

See Also

Useful links:

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

• Report bugs at https://github.com/philips-software/latrend/issues