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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-medoids or k-means algorithm to identify clusters of trajectories.

Version:2.2.1
Depends:R (≥ 2.10)
Imports:stats,cluster,psych
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0)
Published:2025-02-01
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 umontreal.ca>
License:MIT + fileLICENSE
URL:https://CRAN.R-project.org/package=traj
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:traj results

Documentation:

Reference manual:traj.html ,traj.pdf
Vignettes:Using the traj package (source,R code)

Downloads:

Package source: traj_2.2.1.tar.gz
Windows binaries: r-devel:traj_2.2.1.zip, r-release:traj_2.2.1.zip, r-oldrel:traj_2.2.1.zip
macOS binaries: r-release (arm64):traj_2.2.1.tgz, r-oldrel (arm64):traj_2.2.1.tgz, r-release (x86_64):traj_2.2.1.tgz, r-oldrel (x86_64):traj_2.2.1.tgz
Old sources: traj archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=trajto link to this page.


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