Package: kml
Type: Package
Title: K-Means for Longitudinal Data
Version: 2.4.1
Date: 2016-02-02
Authors@R: c(person("Christophe","Genolini",role=c("cre","aut"),email="christophe.genolini@u-paris10.fr"),
    person("Bruno","Falissard",role=c("ctb")))
Description: An implementation of k-means specifically design
        to cluster longitudinal data. 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.
License: GPL (>= 2)
LazyData: no
URL: http:www.r-project.org
Collate: global.R clusterLongData.R parKml.R parChoice.R kml.R
Depends: methods,clv,longitudinalData (>= 2.4)
Encoding: latin1
NeedsCompilation: yes
Packaged: 2016-02-11 17:37:52 UTC; Christophe
Author: Christophe Genolini [cre, aut],
  Bruno Falissard [ctb]
Maintainer: Christophe Genolini <christophe.genolini@u-paris10.fr>
Repository: CRAN
Date/Publication: 2016-02-16 23:12:45
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