kmlcov: Clustering longitudinal data using the likelihood as a metric of distance
Version 1.0.1

'kmlcov' Cluster longitudinal data using the likelihood as a metric of distance. The generalised linear model allow the user to introduce covariates with different level effects (2 levels).

AuthorMamoun O. Benghezal [aut, cre], Christophe Genolini [ctb]
Date of publication2013-08-21 16:07:27
MaintainerMamoun O. Benghezal <mobenghezal@gmail.com>
LicenseGPL-2
Version1.0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("kmlcov")

Getting started

Package overview

Popular man pages

affect_rand: Affect randomly the individuals to the clusters
artifdata: Artificial data
Converge-methods: Method for function 'show'
glmClust: Clustering longitudinal data
GlmCluster-methods: Plot the main trajectories
majIndica: Calculate an indicator vector
seperateFormula: Separate the covariates in a formula
See all...

All man pages Function index File listing

Man pages

addIndic: Create the new formula with the indicator covariates
affect_rand: Affect randomly the individuals to the clusters
artifdata: Artificial data
Converge-class: Class '"Converge"'
Converge-methods: Method for function 'show'
getNomCoef: Get the name of the coefficients in the 'glm' object...
glmClust: Clustering longitudinal data
GlmCluster-class: Class 'GlmCluster'
GlmCluster-methods: Plot the main trajectories
kmlCov: Clustering longitudinal data from different starting...
KmlCovList-class: Class 'KmlCovList'
KmlCovList-methods: Plot the main trajectories
kmlcov-package: Clustering longitudinal data using the likelihood as a metric...
log_lik: Calculate the log-likelihood
majIndica: Calculate an indicator vector
predict_clust: Creates a character string expression to calculate the...
rwFormula: Rewrite the formula with all the covariates
seperateFormula: Separate the covariates in a formula
which_best: Seek the best partitions

Functions

Converge-class Man page
GlmCluster Man page
GlmCluster-class Man page
KmlCovList Man page
KmlCovList-class Man page
addIndic Man page Source code
affect_rand Man page Source code
alias Man page
artifdata Man page
getNomCoef Man page Source code
glmClust Man page Source code
kmlCov Man page Source code
kmlcov Man page
kmlcov-package Man page
log_lik Man page Source code
majIndica Man page Source code
plot,GlmCluster-method Man page
plot,KmlCovList-method Man page
predict_clust Man page Source code
rwFormula Man page Source code
seperateFormula Man page Source code
show,Converge-method Man page
which_best Man page Source code

Files

NAMESPACE
data
data/artifdata.txt.gz
R
R/GlmCluster.R
R/kmlCov.R
R/functions4glmClust.R
R/glmclust-internal.R
R/glmClust.R
R/kmlcov-package.R
MD5
DESCRIPTION
man
man/getNomCoef.Rd
man/GlmCluster-class.Rd
man/seperateFormula.Rd
man/artifdata.Rd
man/majIndica.Rd
man/GlmCluster-methods.Rd
man/which_best.Rd
man/kmlcov-package.Rd
man/glmClust.Rd
man/Converge-methods.Rd
man/Converge-class.Rd
man/rwFormula.Rd
man/KmlCovList-methods.Rd
man/addIndic.Rd
man/predict_clust.Rd
man/affect_rand.Rd
man/KmlCovList-class.Rd
man/log_lik.Rd
man/kmlCov.Rd
kmlcov documentation built on May 20, 2017, 12:53 a.m.

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