Package: kml3d
Type: Package
Title: 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.
Version: 2.5.0
Date: 2024-10-21
Maintainer: Christophe Genolini <christophe.genolini@free.fr>
Author: Christophe Genolini [cre, aut],
  Bruno Falissard [ctb],
  Patrice Kiener [ctb],
  Jean-Baptiste Pingault [ctb]
Authors@R: c(person("Christophe","Genolini",role=c("cre","aut"),email="christophe.genolini@free.fr"),
    person("Bruno","Falissard",role=c("ctb")),
    person("Patrice","Kiener",role=c("ctb")),
    person("Jean-Baptiste","Pingault",role=c("ctb")))
License: GPL (>= 2)
LazyData: yes
Collate: global.r distance3d.r clusterLongData3d.r kml3d.r
Depends: R (>= 2.10), methods, clv, rgl, misc3d, longitudinalData, kml
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-21 15:59:42 UTC; patrice
Repository: CRAN
Date/Publication: 2024-10-23 17:20:01 UTC
Built: R 4.6.0; ; 2025-07-18 09:42:42 UTC; unix
