Last data update: 2014.03.03

kml

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

● Cran Task View: Cluster
● 0 images, 19 functions, 1 datasets
Reverse Depends: 2

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'kml' ...
** package 'kml' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c kml.c -o kml.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o kml.so kml.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/kml/libs
** R
** data
** inst
** preparing package for lazy loading

   ####################################################################
  ######################### Class ClustLongData ######################
 ############################## Creation ############################
####################################################################
### Definition ###
### Getteur ###
### Setteur ###


   ####################################################################
  ######################### Class ClustLongData ######################
 ############################### Autres #############################
####################################################################
Creating a generic function for 'plot' from package 'graphics' in package 'kml'

--------------------------------------------------------------------
------------------------- Class ClustLongData ----------------------
--------------------------------- Fin ------------------------------
--------------------------------------------------------------------
### Method : 'show' for ParKml ###

####################################################################
########################## Class parChoice #########################
############################# Creation #############################
####################################################################
### Constructor ###
### Show ###
### Getteur ###
### Setteur ###

--------------------------------------------------------------------
------------------------ Fin Test ParChoice ------------------------
--------------------------------------------------------------------

####################################################################
################################ kml ###############################
############################# Creation #############################
####################################################################
### Method: 'choice' pour clusterizLongData ###

-------------------------------------------------------------------
------------------------------- kml -------------------------------
------------------------------- Fin -------------------------------
-------------------------------------------------------------------
** help
*** installing help indices
  converting help for package 'kml'
    finding HTML links ... done
    ClusterLongData-class                   html  
    finding level-2 HTML links ... done

    ParKml-class                            html  
    affectFuzzyIndiv                        html  
    affectIndiv                             html  
    calculTrajFuzzyMean                     html  
    calculTrajMean                          html  
    choice                                  html  
    clusterLongData                         html  
    epipageShort                            html  
    fuzzyKmlSlow                            html  
    generateArtificialLongData              html  
    getBestPostProba                        html  
    getCluster                              html  
    kml-internal                            html  
    kml-package                             html  
    kml                                     html  
    parKml                                  html  
    plot                                    html  
    plotMeans                               html  
    plotTraj                                html  
** building package indices
** testing if installed package can be loaded
* DONE (kml)
Making 'packages.html' ... done