traj: Clustering of Functional Data Based on Measures of Change

Implements a three-step procedure in the spirit of Leffondre et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) computing a number of "measures of change" capturing various features of the trajectories; (2) using a Principal Component Analysis based dimension reduction algorithm to select a subset of measures and (3) using the k-means clustering algorithm to identify clusters of trajectories.

Version: 2.2.0
Depends: R (≥ 2.10)
Imports: stats, cluster, psych
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-07-04
DOI: 10.32614/CRAN.package.traj
Author: Marie-Pierre Sylvestre [aut], Laurence Boulanger [aut, cre], Gillis Delmas Tchouangue Dinkou [ctb], Dan Vatnik [ctb]
Maintainer: Laurence Boulanger <laurence.boulanger at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: traj results


Reference manual: traj.pdf
Vignettes: Using the traj package


Package source: traj_2.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): traj_2.2.0.tgz, r-oldrel (arm64): traj_2.2.0.tgz, r-release (x86_64): traj_2.2.0.tgz, r-oldrel (x86_64): traj_2.2.0.tgz
Old sources: traj archive


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