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kml3d

swMATH ID: 21147
Software Authors: Christophe Genolini, Bruno Falissard, Jean-Baptiste Pingault
Description: R package kml3d: K-Means for Joint Longitudinal Data. 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.
Homepage: https://cran.rstudio.com/web/packages/kml3d/index.html
Dependencies: R
Related Software: R; KmL; mclust; bayesSurv; Mplus; Asymptote; rgl
Referenced in: 2 Publications

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