README.md

In traj: Clustering of Functional Data Based on Measures of Change

traj

The goal of traj is to implement 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.

Installation

You can install the development version of traj from GitHub with:

# install.packages("devtools")
devtools::install_github("IcatianTrout/traj")

Example

See the vignette.

traj documentation built on Sept. 11, 2024, 6:06 p.m.