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.
Maintainer: Laurence Boulanger laurence.boulanger@umontreal.ca
Authors:
Marie-Pierre Sylvestre marie-pierre.sylvestre@umontreal.ca
Other contributors:
Gillis Delmas Tchouangue Dinkou [contributor]
Dan Vatnik [contributor]
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