traj: Clustering of Functional Data Based on Measures of Change

Implements the three-step procedure proposed by Leffondree et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) calculating 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: 2.0.1
Depends: R (≥ 2.10)
Imports: stats, cluster, psych
Published: 2023-12-07
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


Package source: traj_2.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): traj_2.0.1.tgz, r-oldrel (arm64): traj_2.0.1.tgz, r-release (x86_64): traj_2.0.1.tgz
Old sources: traj archive


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