Package: kml3d
Type: Package
Title: K-means for joint Longitudinal data
Version: 2.2
Date: 2014-01-01
Authors@R: c(person("Christophe","Genolini",role=c("cre","aut"),email="christophe.genolini@u-paris10.fr"),
    person("Bruno","Falissard",role=c("ctb")),
    person("Jean-Baptiste","Pingault",role=c("ctb")))
Description: KmL3D is 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.
License: GPL (>= 2)
LazyData: yes
URL: http:www.r-project.org
Collate: global.r distance3d.r clusterLongData3d.r kml3d.r
Depends: methods,clv,rgl,misc3d,longitudinalData(>= 2.2), kml(>= 2.2)
Encoding: latin1
Packaged: 2014-03-13 18:12:05 UTC; GENOLLINI
Author: Christophe Genolini [cre, aut],
  Bruno Falissard [ctb],
  Jean-Baptiste Pingault [ctb]
Maintainer: Christophe Genolini <christophe.genolini@u-paris10.fr>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-25 17:34:33
Built: R 3.1.0; ; 2014-03-27 16:23:08 UTC; unix
