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 umontreal.ca> |
License: |
MIT + file LICENSE |
URL: |
https://CRAN.R-project.org/package=traj |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
traj results |
Documentation:
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