kml3d (version 2.4.6.1)

K-Means for Joint Longitudinal Data

Description

An implementation of k-means specifically design to cluster joint trajectories (longitudinal data on several variable-trajectories). Like 'kml', it provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC,...) and propose a graphical interface for choosing the 'best' number of clusters. In addition, the 3D graph representing the mean joint-trajectories of each cluster can be exported through LaTeX in a 3D dynamic rotating PDF graph.

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Install

install.packages('kml3d')

Monthly Downloads

384

Version

2.4.6.1

License

GPL (>= 2)

Last Published

December 13th, 2023

Functions in kml3d (2.4.6.1)