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Implements a three-step procedure in the spirit of Leffondree 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: | 2.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, cluster, psych |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-03-28 |
| 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 LICENSE |
| URL: | https://CRAN.R-project.org/package=traj |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | traj results |
| Reference manual: | traj.pdf |
| Vignettes: |
Using the traj package |
| Package source: | traj_2.1.0.tar.gz |
| Windows binaries: | r-devel: traj_2.1.0.zip, r-release: traj_2.1.0.zip, r-oldrel: traj_2.1.0.zip |
| macOS binaries: | r-release (arm64): traj_2.1.0.tgz, r-oldrel (arm64): traj_2.1.0.tgz, r-release (x86_64): traj_2.1.0.tgz, r-oldrel (x86_64): traj_2.1.0.tgz |
| Old sources: | traj archive |
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