traj: Clustering of Functional Data Based on Measures of Change (original) (raw)
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 umontreal.ca> |
| License: | MIT + file |
| URL: | https://CRAN.R-project.org/package=traj |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | traj results |
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