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traj  

Clustering of Functional Data Based on Measures of Change
View on CRAN: Click here


Download and install traj package within the R console
Install from CRAN:
install.packages("traj")

Install from Github:
library("remotes")
install_github("cran/traj")

Install by package version:
library("remotes")
install_version("traj", "2.2.1")



Attach the package and use:
library("traj")
Maintained by
Laurence Boulanger
[Scholar Profile | Author Map]
First Published: 2014-10-22
Latest Update: 2023-04-12
Description:
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.
How to cite:
Laurence Boulanger (2014). traj: Clustering of Functional Data Based on Measures of Change. R package version 2.2.1, https://cran.r-project.org/web/packages/traj. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.0 (2014-10-22 18:20), 1.1 (2014-12-01 21:57), 1.2 (2015-01-13 10:27), 1.3.1 (2023-04-12 18:20), 1.3 (2023-01-22 00:20), 2.0.0 (2023-12-04 22:40), 2.0.1 (2023-12-07 18:50), 2.1.0 (2024-03-28 20:10), 2.2.0 (2024-07-05 00:40)
Other packages that cited traj R package
View traj citation profile
Other R packages that traj depends, imports, suggests or enhances
Complete documentation for traj
Functions, R codes and Examples using the traj R package
Some associated functions: Step1Measures . Step2Selection . Step3Clusters . plot.trajClusters . traj-package . trajdata . 
Some associated R codes: CheckCorrelation.R . CubeRoot.R . Der.R . FctMean.R . First.R . Last.R . Step1Measures.R . Step2Selection.R . Step3Clusters.R . plot.trajClusters.R . traj-package.R .  Full traj package functions and examples
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