Supervised and unsupervised classification with MIXture MODelling.
c(
person("Florent", "Langrognet", role=c("aut", "cre"), email="florent.langrognet@univ-fcomte.fr"),
person("Remi", "Lebret", role="aut", email="remi@lebret.ch"),
person("Christian", "Poli", role="aut", email="christian.poli@inria.fr"),
person("Serge", "Iovleff", role="aut", email="serge.iovleff@univ-lille1.fr"),
person("Benjamin", "Auder", role="ctb", email="benjamin.auder@gmail.com"),
person("C.", "Biernacki", role="ctb", email="christophe.biernacki@math.univ-lille1.fr"),
person("G.", "Celeux", role="ctb", email="gilles.celeux@math.u-psud.fr"),
person("G.", "Govaert", role="ctb", email="gerard.govaert@utc.fr"))
Florent Langrognet [aut, cre],
Remi Lebret [aut],
Christian Poli [aut],
Serge Iovleff [aut],
Benjamin Auder [ctb],
C. Biernacki [ctb],
G. Celeux [ctb],
G. Govaert [ctb]
'global.R' 'Model.R' 'Parameter.R' 'GaussianParameter.R'
'Strategy.R' 'MixmodResults.R' 'MixmodDAResults.R'
'MultinomialModel.R' 'GaussianModel.R' 'MultinomialParameter.R'
'Mixmod.R' 'CompositeModel.R' 'CompositeParameter.R'
'MixmodCluster.R' 'MixmodLearn.R' 'Rmixmod.R' 'MixmodPredict.R'
'zzz.R'

Supervised, Unsupervised, Semi-Supervised Classification with
MIXture MODelling (Interface of MIXMOD Software)
Interface of MIXMOD software for supervised, unsupervised and semi-Supervised classification with MIXture MODelling.

Interface of 'MIXMOD' software for supervised, unsupervised and
semi-supervised classification with mixture modelling.
c(
person("Florent", "Langrognet", role="aut", email="florent.langrognet@univ-fcomte.fr"),
person("Remi", "Lebret", role="aut", email="remi@lebret.ch"),
person("Christian", "Poli", role="aut", email="christian.poli@inria.fr"),
person("Serge", "Iovleff", role="aut", email="serge.iovleff@univ-lille1.fr"),
person("Benjamin", "Auder", role=c("aut","cre"), email="benjamin.auder@u-psud.fr"),
person("Parmeet", "Bhatia", role="ctb", email="parmeet.bhatia@inria.fr"),
person("Anwuli", "Echenim", role="ctb", email="anwuli.echenim@inria.fr"),
person("Serge", "Iovleff", role="aut", email="serge.iovleff@univ-lille1.fr"),
person("Christophe", "Biernacki", role="ctb", email="christophe.biernacki@math.univ-lille1.fr"),
person("Gilles", "Celeux", role="ctb", email="gilles.celeux@math.u-psud.fr"),
person("G<c3><a9>rard", "Govaert", role="ctb", email="gerard.govaert@utc.fr"))
Authors, and Mixmod use Eigen3 C++ library
'A_NAMESPACE.R' 'global.R' 'Model.R' 'MultinomialModel.R'
'GaussianModel.R' 'CompositeModel.R' 'Parameter.R'
'MultinomialParameter.R' 'GaussianParameter.R'
'CompositeParameter.R' 'MixmodResults.R' 'Mixmod.R'
'Strategy.R' 'MixmodCluster.R' 'MixmodDAResults.R'
'MixmodLearn.R' 'MixmodPredict.R' 'MixmodXml.R' 'Rmixmod.R'
'zzz.R'
Florent Langrognet [aut],
Remi Lebret [aut],
Christian Poli [aut],
Serge Iovleff [aut],
Benjamin Auder [aut, cre],
Parmeet Bhatia [ctb],
Anwuli Echenim [ctb],
Serge Iovleff [aut],
Christophe Biernacki [ctb],
Gilles Celeux [ctb],
G<c3><a9>rard Govaert [ctb]