Package: kml3d
Type: Package
Title: K-means for joint Longitudinal data
Version: 2.1.1
Date: 2012-12-01
Authors@R:
        c(person("Christophe","Genolini",role=c("cre","aut"),email="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(>= 2.1), kml(>= 2.1)
Encoding: latin1
Packaged: 2012-11-18 10:35:56 UTC; GENOLLINI
Author: Christophe Genolini [cre, aut], Bruno Falissard [ctb],
        Jean-Baptiste Pingault [ctb]
Maintainer: Christophe Genolini <genolini@u-paris10.fr>
Repository: CRAN
Date/Publication: 2012-11-18 13:23:42
