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traj
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", "2.2.0")
Attach the package and use:
library("traj")
Maintained by
Laurence Boulanger
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
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 2.2.0, https://cran.r-project.org/web/packages/traj. Accessed 22 Dec. 2024.
Previous versions and publish date:
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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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