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traj

The goal of traj is to form clusters of longitudinal trajectories sharing certain distinctive characteristics. The procedure involves computing a set of numerical “measures”, each capturing a certain feature of the trajectory, and using a Spectral Clustering algorithm on those to identify the clusters.

Installation

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

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

Example

See the vignette.

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Version

Install

install.packages('traj')

Monthly Downloads

467

Version

3.1.0

License

MIT + file LICENSE

Maintainer

Laurence Boulanger

Last Published

September 8th, 2026

Functions in traj (3.1.0)

plot.trajClusters

Plot trajClusters object
print.summary.trajClusters

Compute Measures for Identifying Patterns of Change in Longitudinal Data
trajdata

trajdata
trajReduce

Select a Subset of the Measures Using a Similarity Index on the Set of Clusterings
trajClusters

Classify the Longitudinal Data Based on the Measures.
traj-package

traj: Feature-Based Clustering of Longitudinal Trajectories