Rmixmod: 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.

Install the latest version of this package by entering the following in R:
install.packages("Rmixmod")
AuthorFlorent Langrognet [aut, cre], Remi Lebret [aut], Christian Poli [aut], Serge Iovleff [aut], Benjamin Auder [ctb], C. Biernacki [ctb], G. Celeux [ctb], G. Govaert [ctb]
Date of publication2016-08-25 17:59:24
MaintainerFlorent Langrognet <florent.langrognet@univ-fcomte.fr>
LicenseGPL-3
Version2.1.1
http://www.mixmod.org

View on CRAN

Man pages

asQualitative: Convert a data frame containing integers to a qualitative...

barplotCluster: Barplot of a class ['MixmodResults']

barplot-methods: Barplot of a class ['Mixmod']

birds: Qualitative data : morphological description of birds

car: Qualitative data : Car Evaluation

composeModelName: Get the heterogeneous model name using Gaussian and...

CompositeModel-class: Constructor of ['CompositeModel'] class

CompositeParameter-class: Constructor of ['CompositeParameter'] class

ellipse: Define function to draw an ellipse

extract-methods: Extract parts of a Rmixmod class

finance: Composite data : Financial health of companies

GaussianModel-class: Constructor of ['GaussianModel'] class

GaussianParameter-class: Constructor of ['GaussianParameter'] class

geyser: Quantitative data: Old Faithful Geyser

heterodata: Composite data with training and testing set

heterodatatest: Composite data: A testing set

heterodatatrain: Composite data: A training set

histCluster: Histogram of a class ['MixmodResults']

hist-methods: Histograms of a class ['Mixmod']

initialize-methods: Create an instance of the ['Strategy'] class using...

is.dataType: Say if a data frame is quantitative, qualitative or composite

isQualitative: Say if a data frame contains only qualitative variables.

is.wholenumber: Define function to check an integer

matrix2binary: Define function to transform a matrix of modalities into...

Mixmod-class: Constructor of ['Mixmod'] class

mixmodCluster: Create an instance of the ['MixmodCluster'] class

MixmodCluster-class: Constructor of ['MixmodCluster'] class

mixmodCompositeModel: Create an instance of the ['CompositeModel'] class

MixmodDAResults-class: Constructor of ['MixmodDAResults'] class

mixmodGaussianModel: Create an instance of the ['GaussianModel'] class

mixmodLearn: Create an instance of the ['MixmodLearn'] class

MixmodLearn-class: Constructor of ['MixmodLearn'] class

mixmodMultinomialModel: Create an instance of the ['MultinomialModel'] class

mixmodPredict: Create an instance of the ['MixmodPredict'] class

MixmodPredict-class: Constructor of ['MixmodPredict'] class

MixmodResults-class: Constructor of ['MixmodResults'] class

mixmodStrategy: Create an instance of ['Strategy'] class

mixmodXmlInput: Internal. It's use is not recommended.

MixmodXmlInput-class: Constructor of ['MixmodXmlInput'] class

Model-class: Constructor of ['Model'] class

MultinomialModel-class: Constructor of ['MultinomialModel'] class

MultinomialParameter-class: Constructor of ['MultinomialParameter'] class

nbFactorFromData: Get the number of modalities for each column of a categorical...

Parameter-class: Constructor of ['Parameter'] class

plotCluster: Plotting of a class ['MixmodResults']

plot-methods: Plotting of a class ['Mixmod']

print-methods: Print a Rmixmod class to standard output.

Rmixmod-package: Rmixmod a MIXture MODelling package

show-methods: Show description of a Rmixmod class to standard output.

sortByCriterion-methods: Sorting results of a ['Mixmod'] object by a given criterion

Strategy-class: Constructor of ['Strategy'] class

summary-methods: Produce result summaries of a Rmixmod class

titanic: Qualitative data: Survival of passengers on the Titanic

vector2binary: Define function to transform a vector of modalities into...

Functions

[ Man page
asQualitative Man page
barplot Man page
barplotCluster Man page
barplot,Mixmod-method Man page
birds Man page
car Man page
composeModelName Man page
CompositeModel-class Man page
[<-,CompositeModel-method Man page
[,CompositeModel-method Man page
CompositeParameter-class Man page
[<-,CompositeParameter-method Man page
[,CompositeParameter-method Man page
ellipse Man page
finance Man page
GaussianModel-class Man page
[<-,GaussianModel-method Man page
[,GaussianModel-method Man page
GaussianParameter-class Man page
[<-,GaussianParameter-method Man page
[,GaussianParameter-method Man page
geyser Man page
heterodata Man page
heterodatatest Man page
heterodatatrain Man page
hist Man page
histCluster Man page
hist,Mixmod-method Man page
initialize Man page
is.dataType Man page
isQualitative Man page
is.wholenumber Man page
matrix2binary Man page
Mixmod-class Man page
mixmodCluster Man page
MixmodCluster-class Man page
mixmodCluster.default Man page
[<-,MixmodCluster-method Man page
[,MixmodCluster-method Man page
mixmodCompositeModel Man page
MixmodDAResults-class Man page
mixmodGaussianModel Man page
mixmodLearn Man page
MixmodLearn-class Man page
mixmodLearn.default Man page
[<-,MixmodLearn-method Man page
[,MixmodLearn-method Man page
mixmodMultinomialModel Man page
mixmodPredict Man page
MixmodPredict-class Man page
[,MixmodPredict-method Man page
MixmodResults-class Man page
[,MixmodResults-method Man page
mixmodStrategy Man page
mixmodXmlInput Man page
MixmodXmlInput-class Man page
Model-class Man page
MultinomialModel-class Man page
[<-,MultinomialModel-method Man page
[,MultinomialModel-method Man page
MultinomialParameter-class Man page
[<-,MultinomialParameter-method Man page
[,MultinomialParameter-method Man page
nbFactorFromData Man page
Parameter-class Man page
plot Man page
plotCluster Man page
plot,Mixmod-method Man page
print Man page
print,CompositeParameter-method Man page
print,GaussianParameter-method Man page
print,MixmodCluster-method Man page
print,MixmodDAResults-method Man page
print,MixmodLearn-method Man page
print,Mixmod-method Man page
print,MixmodPredict-method Man page
print,MixmodResults-method Man page
print,Model-method Man page
print,MultinomialParameter-method Man page
print,Strategy-method Man page
Rmixmod Man page
Rmixmod-package Man page
show Man page
show,CompositeParameter-method Man page
show,GaussianParameter-method Man page
show,MixmodCluster-method Man page
show,MixmodDAResults-method Man page
show,MixmodLearn-method Man page
show,Mixmod-method Man page
show,MixmodPredict-method Man page
show,MixmodResults-method Man page
show,Model-method Man page
show,MultinomialParameter-method Man page
show,Strategy-method Man page
sortByCriterion Man page
sortByCriterion,Mixmod,character-method Man page
Strategy-class Man page
[<-,Strategy-method Man page
[,Strategy-method Man page
summary Man page
summary,CompositeParameter-method Man page
summary,GaussianParameter-method Man page
summary,Mixmod-method Man page
summary,MixmodPredict-method Man page
summary,MixmodResults-method Man page
summary,MultinomialParameter-method Man page
titanic Man page
vector2binary Man page

Files

inst
inst/statdoc_3_0_0.pdf
inst/XML_specs
inst/XML_specs/weights.xsd
inst/XML_specs/schema.qrc
inst/XML_specs/data.xsd
inst/XML_specs/old_project.xsd
inst/XML_specs/label_or_partition.xsd
inst/XML_specs/parameter.xsd
inst/XML_specs/project.xsd
inst/XML_specs/new
inst/XML_specs/new/project.xsd
inst/XML_specs/new/partition.xsd
inst/XML_specs/label_or_partition_group.xsd
configure.ac
tests
tests/Rplots.pdf
tests/ssupervised.R tests/clusteringParametertest.R tests/clustering1test.R tests/heterogeneousDAtest.R tests/clusteringPartitiontest.R tests/test.R tests/heterogeneousclusteringtest.R
src
src/Makevars
src/OutputHandling.cpp
src/LearnOutputHandling.cpp
src/mixmod
src/mixmod/DiscriminantAnalysis
src/mixmod/DiscriminantAnalysis/Predict
src/mixmod/DiscriminantAnalysis/Predict/PredictOutput.cpp
src/mixmod/DiscriminantAnalysis/Predict/PredictInput.cpp
src/mixmod/DiscriminantAnalysis/Predict/PredictStrategy.h
src/mixmod/DiscriminantAnalysis/Predict/PredictMain.cpp
src/mixmod/DiscriminantAnalysis/Predict/PredictStrategy.cpp
src/mixmod/DiscriminantAnalysis/Predict/PredictModelOutput.cpp
src/mixmod/DiscriminantAnalysis/Predict/PredictModelOutput.h
src/mixmod/DiscriminantAnalysis/Predict/PredictMain.h
src/mixmod/DiscriminantAnalysis/Predict/PredictOutput.h
src/mixmod/DiscriminantAnalysis/Predict/PredictInput.h
src/mixmod/DiscriminantAnalysis/Learn
src/mixmod/DiscriminantAnalysis/Learn/LearnMain.cpp
src/mixmod/DiscriminantAnalysis/Learn/LearnOutput.cpp
src/mixmod/DiscriminantAnalysis/Learn/LearnStrategy.cpp
src/mixmod/DiscriminantAnalysis/Learn/LearnStrategy.h
src/mixmod/DiscriminantAnalysis/Learn/LearnOutput.h
src/mixmod/DiscriminantAnalysis/Learn/LearnModelOutput.cpp
src/mixmod/DiscriminantAnalysis/Learn/LearnMain.h
src/mixmod/DiscriminantAnalysis/Learn/LearnInput.h
src/mixmod/DiscriminantAnalysis/Learn/LearnInput.cpp
src/mixmod/DiscriminantAnalysis/Learn/LearnModelOutput.h
src/mixmod/Utilities
src/mixmod/Utilities/maths
src/mixmod/Utilities/maths/GSL.h
src/mixmod/Utilities/maths/Armadillo.h
src/mixmod/Utilities/maths/_ReadMe
src/mixmod/Utilities/maths/ITpp.h
src/mixmod/Utilities/maths/SelectLibrary.h
src/mixmod/Utilities/maths/Eigen.h
src/mixmod/Utilities/maths/NEWMAT.h
src/mixmod/Utilities/ExampleDataUtil.h
src/mixmod/Utilities/Util.h
src/mixmod/Utilities/Error.h
src/mixmod/Utilities/Util.cpp
src/mixmod/Utilities/Error.cpp
src/mixmod/Utilities/ExampleDataUtil.cpp
src/mixmod/Utilities/Random.h
src/mixmod/Utilities/exceptions
src/mixmod/Utilities/exceptions/OtherException.cpp
src/mixmod/Utilities/exceptions/DCVonlyInGaussianCaseException.cpp
src/mixmod/Utilities/exceptions/NumericException.cpp
src/mixmod/Utilities/exceptions/DCVException.cpp
src/mixmod/Utilities/exceptions/Exception.h
src/mixmod/Utilities/exceptions/InputException.h
src/mixmod/Utilities/exceptions/InputException.cpp
src/mixmod/Utilities/exceptions/Exception.cpp
src/mixmod/Utilities/exceptions/DCVonlyInGaussianCaseException.h
src/mixmod/Utilities/exceptions/DCVException.h
src/mixmod/Utilities/exceptions/ErrorEnumerations.h
src/mixmod/Utilities/exceptions/NumericException.h
src/mixmod/Utilities/exceptions/OtherException.h
src/mixmod/Utilities/mixmod.h
src/mixmod/Utilities/Random.cpp
src/mixmod/mixmod_r.mk
src/mixmod/Kernel
src/mixmod/Kernel/Model
src/mixmod/Kernel/Model/ModelType.cpp
src/mixmod/Kernel/Model/BinaryModel.h
src/mixmod/Kernel/Model/ModelType.h
src/mixmod/Kernel/Model/BinaryModel.cpp
src/mixmod/Kernel/Model/Model.cpp
src/mixmod/Kernel/Model/Model.h
src/mixmod/Kernel/Algo
src/mixmod/Kernel/Algo/MAPAlgo.cpp
src/mixmod/Kernel/Algo/SEMAlgo.h
src/mixmod/Kernel/Algo/CEMAlgo.cpp
src/mixmod/Kernel/Algo/Algo.cpp
src/mixmod/Kernel/Algo/MAlgo.cpp
src/mixmod/Kernel/Algo/MAlgo.h
src/mixmod/Kernel/Algo/EMAlgo.cpp
src/mixmod/Kernel/Algo/MAPAlgo.h
src/mixmod/Kernel/Algo/SEMAlgo.cpp
src/mixmod/Kernel/Algo/EMAlgo.h
src/mixmod/Kernel/Algo/Algo.h
src/mixmod/Kernel/Algo/CEMAlgo.h
src/mixmod/Kernel/IO
src/mixmod/Kernel/IO/Description.cpp
src/mixmod/Kernel/IO/ParameterDescription.cpp
src/mixmod/Kernel/IO/QualitativeColumnDescription.cpp
src/mixmod/Kernel/IO/DataDescription.cpp
src/mixmod/Kernel/IO/ModelOutput.cpp
src/mixmod/Kernel/IO/Partition.h
src/mixmod/Kernel/IO/BinaryData.h
src/mixmod/Kernel/IO/Input.h
src/mixmod/Kernel/IO/Sample.cpp
src/mixmod/Kernel/IO/LikelihoodOutput.cpp
src/mixmod/Kernel/IO/LabelDescription.cpp
src/mixmod/Kernel/IO/GaussianSample.cpp
src/mixmod/Kernel/IO/LikelihoodOutput.h
src/mixmod/Kernel/IO/ProbaDescription.cpp
src/mixmod/Kernel/IO/WeightColumnDescription.cpp
src/mixmod/Kernel/IO/ProbaDescription.h
src/mixmod/Kernel/IO/ModelOutput.h
src/mixmod/Kernel/IO/Data.h
src/mixmod/Kernel/IO/CompositeData.cpp
src/mixmod/Kernel/IO/IndividualColumnDescription.h
src/mixmod/Kernel/IO/BinarySample.h
src/mixmod/Kernel/IO/QuantitativeColumnDescription.cpp
src/mixmod/Kernel/IO/UnusedColumnDescription.h
src/mixmod/Kernel/IO/GaussianData.h
src/mixmod/Kernel/IO/CompositeSample.h
src/mixmod/Kernel/IO/GaussianSample.h
src/mixmod/Kernel/IO/BinaryData.cpp
src/mixmod/Kernel/IO/Data.cpp
src/mixmod/Kernel/IO/Description.h
src/mixmod/Kernel/IO/DataDescription.h
src/mixmod/Kernel/IO/UnusedColumnDescription.cpp
src/mixmod/Kernel/IO/Label.h
src/mixmod/Kernel/IO/CompositeSample.cpp
src/mixmod/Kernel/IO/GaussianData.cpp
src/mixmod/Kernel/IO/QualitativeColumnDescription.h
src/mixmod/Kernel/IO/IndividualColumnDescription.cpp
src/mixmod/Kernel/IO/BinarySample.cpp
src/mixmod/Kernel/IO/WeightColumnDescription.h
src/mixmod/Kernel/IO/Proba.h
src/mixmod/Kernel/IO/ProbaOutput.cpp
src/mixmod/Kernel/IO/Proba.cpp
src/mixmod/Kernel/IO/Input.cpp
src/mixmod/Kernel/IO/ProbaOutput.h
src/mixmod/Kernel/IO/Partition.cpp
src/mixmod/Kernel/IO/ParameterDescription.h
src/mixmod/Kernel/IO/Label.cpp
src/mixmod/Kernel/IO/LabelDescription.h
src/mixmod/Kernel/IO/ColumnDescription.h
src/mixmod/Kernel/IO/Sample.h
src/mixmod/Kernel/IO/CompositeData.h
src/mixmod/Kernel/IO/ColumnDescription.cpp
src/mixmod/Kernel/IO/QuantitativeColumnDescription.h
src/mixmod/Kernel/Parameter
src/mixmod/Kernel/Parameter/BinaryEkjhParameter.cpp
src/mixmod/Kernel/Parameter/GaussianDiagParameter.h
src/mixmod/Kernel/Parameter/GaussianParameter.h
src/mixmod/Kernel/Parameter/BinaryEjParameter.h
src/mixmod/Kernel/Parameter/GaussianHDDAParameter.cpp
src/mixmod/Kernel/Parameter/Parameter.cpp
src/mixmod/Kernel/Parameter/GaussianParameter.cpp
src/mixmod/Kernel/Parameter/Parameter.h
src/mixmod/Kernel/Parameter/BinaryEParameter.h
src/mixmod/Kernel/Parameter/BinaryEkParameter.cpp
src/mixmod/Kernel/Parameter/BinaryEkjhParameter.h
src/mixmod/Kernel/Parameter/CompositeParameter.cpp
src/mixmod/Kernel/Parameter/GaussianEDDAParameter.h
src/mixmod/Kernel/Parameter/BinaryEkjParameter.cpp
src/mixmod/Kernel/Parameter/BinaryEParameter.cpp
src/mixmod/Kernel/Parameter/BinaryParameter.cpp
src/mixmod/Kernel/Parameter/BinaryParameter.h
src/mixmod/Kernel/Parameter/GaussianSphericalParameter.h
src/mixmod/Kernel/Parameter/BinaryEjParameter.cpp
src/mixmod/Kernel/Parameter/GaussianSphericalParameter.cpp
src/mixmod/Kernel/Parameter/CompositeParameter.h
src/mixmod/Kernel/Parameter/GaussianGeneralParameter.cpp
src/mixmod/Kernel/Parameter/BinaryEkjParameter.h
src/mixmod/Kernel/Parameter/GaussianDiagParameter.cpp
src/mixmod/Kernel/Parameter/GaussianGeneralParameter.h
src/mixmod/Kernel/Parameter/GaussianHDDAParameter.h
src/mixmod/Kernel/Parameter/BinaryEkParameter.h
src/mixmod/Kernel/Parameter/GaussianEDDAParameter.cpp
src/mixmod/Kernel/Criterion
src/mixmod/Kernel/Criterion/Criterion.cpp
src/mixmod/Kernel/Criterion/CriterionOutput.cpp
src/mixmod/Kernel/Criterion/CriterionOutput.h
src/mixmod/Kernel/Criterion/ICLCriterion.cpp
src/mixmod/Kernel/Criterion/BICCriterion.cpp
src/mixmod/Kernel/Criterion/NECCriterion.h
src/mixmod/Kernel/Criterion/CVCriterion.h
src/mixmod/Kernel/Criterion/ICLCriterion.h
src/mixmod/Kernel/Criterion/NECCriterion.cpp
src/mixmod/Kernel/Criterion/CVCriterion.cpp
src/mixmod/Kernel/Criterion/BICCriterion.h
src/mixmod/Kernel/Criterion/Criterion.h
src/mixmod/Clustering
src/mixmod/Clustering/ClusteringStrategy.cpp
src/mixmod/Clustering/ClusteringOutput.h
src/mixmod/Clustering/ClusteringInput.cpp
src/mixmod/Clustering/ClusteringInput.h
src/mixmod/Clustering/ClusteringStrategy.h
src/mixmod/Clustering/ClusteringStrategyInit.cpp
src/mixmod/Clustering/ClusteringOutput.cpp
src/mixmod/Clustering/ClusteringStrategyInit.h
src/mixmod/Clustering/ClusteringModelOutput.cpp
src/mixmod/Clustering/ClusteringMain.h
src/mixmod/Clustering/ClusteringModelOutput.h
src/mixmod/Clustering/ClusteringMain.cpp
src/mixmod/Matrix
src/mixmod/Matrix/GeneralMatrix.cpp
src/mixmod/Matrix/Matrix.cpp
src/mixmod/Matrix/Matrix.h
src/mixmod/Matrix/DiagMatrix.cpp
src/mixmod/Matrix/DiagMatrix.h
src/mixmod/Matrix/SymmetricMatrix.cpp
src/mixmod/Matrix/SymmetricMatrix.h
src/mixmod/Matrix/GeneralMatrix.h
src/mixmod/Matrix/SphericalMatrix.cpp
src/mixmod/Matrix/SphericalMatrix.h
src/XmlMakevars
src/ClusteringOutputHandling.cpp
src/predictMain.cpp
src/XmlMakevars.in
src/LearnOutputHandling.h
src/InputHandling.h
src/ClusteringOutputHandling.h
src/Makevars.UNIX
src/ClusteringInputHandling.h
src/Conversion.cpp
src/Conversion.h
src/ClusteringInputHandling.cpp
src/clusteringMain.cpp
src/OutputHandling.h
src/InputHandling.cpp
src/Makevars.static
src/Makevars.win
src/mixmod_iostream
src/mixmod_iostream/NodeInput.cpp
src/mixmod_iostream/DomLabel.h
src/mixmod_iostream/DomOpProject.h
src/mixmod_iostream/NodeOpInput.cpp
src/mixmod_iostream/NodeOpInput.h
src/mixmod_iostream/DomData.cpp
src/mixmod_iostream/DomOpProject.cpp
src/mixmod_iostream/NodeOutput.cpp
src/mixmod_iostream/DomProba.cpp
src/mixmod_iostream/IOStreamUtil.h
src/mixmod_iostream/to_be_removed
src/mixmod_iostream/to_be_removed/NodeClusteringInput.cpp
src/mixmod_iostream/to_be_removed/NodeClusteringOutput.h
src/mixmod_iostream/to_be_removed/DomClusteringProject.cpp
src/mixmod_iostream/to_be_removed/DomDAProject.h
src/mixmod_iostream/to_be_removed/NodeClusteringInput.h
src/mixmod_iostream/to_be_removed/DomDAProject.cpp
src/mixmod_iostream/to_be_removed/NodeClusteringOutput.cpp
src/mixmod_iostream/to_be_removed/DomClusteringProject.h
src/mixmod_iostream/NodeInput.h
src/mixmod_iostream/DomProject.cpp
src/mixmod_iostream/DomProject.h
src/mixmod_iostream/NodeOpOutput.cpp
src/mixmod_iostream/DomLabel.cpp
src/mixmod_iostream/DomData.h
src/mixmod_iostream/IOStreamUtil.cpp
src/mixmod_iostream/mixmod_iostream_r.mk
src/mixmod_iostream/DomParameter.cpp
src/mixmod_iostream/NodeOpOutput.h
src/mixmod_iostream/DomProba.h
src/mixmod_iostream/NodeOutput.h
src/mixmod_iostream/DomParameter.h
src/NEWMAT
src/NEWMAT/hholder.cpp
src/NEWMAT/myexcept.h
src/NEWMAT/newmatnl.h
src/NEWMAT/solution.h
src/NEWMAT/newmat1.cpp
src/NEWMAT/boolean.h
src/NEWMAT/newmatnl.cpp
src/NEWMAT/newmatio.h
src/NEWMAT/newmat9.cpp
src/NEWMAT/newmat8.cpp
src/NEWMAT/cholesky.cpp
src/NEWMAT/newmat3.cpp
src/NEWMAT/jacobi.cpp
src/NEWMAT/newmatrm.h
src/NEWMAT/newmat.h
src/NEWMAT/myexcept.cpp
src/NEWMAT/bandmat.cpp
src/NEWMAT/evalue.cpp
src/NEWMAT/precisio.h
src/NEWMAT/newmat6.cpp
src/NEWMAT/solution.cpp
src/NEWMAT/newmatap.h
src/NEWMAT/newmat5.cpp
src/NEWMAT/newmatrm.cpp
src/NEWMAT/newfft.cpp
src/NEWMAT/newmat7.cpp
src/NEWMAT/newmat2.cpp
src/NEWMAT/sort.cpp
src/NEWMAT/fft.cpp
src/NEWMAT/controlw.h
src/NEWMAT/submat.cpp
src/NEWMAT/svd.cpp
src/NEWMAT/newmat_r.mk
src/NEWMAT/include.h
src/NEWMAT/newmatex.cpp
src/NEWMAT/newmatrc.h
src/NEWMAT/newmat4.cpp
src/get_symbolic_link.sh
src/learnMain.cpp
NAMESPACE
NEWS
data
data/geyser.rda
data/heterodata.rda
data/birds.rda
data/heterodatatrain.rda
data/titanic.rda
data/heterodatatest.rda
data/car.rda
data/finance.rda
R
R/MixmodPredict.R R/MixmodLearn.R R/MultinomialModel.R R/Model.R R/GaussianParameter.R R/GaussianModel.R R/MixmodCluster.R R/Mixmod.R R/MultinomialParameter.R R/Parameter.R R/Rmixmod.R R/MixmodDAResults.R R/CompositeParameter.R R/Strategy.R R/MixmodResults.R R/global.R R/CompositeModel.R R/zzz.R
MD5
README
DESCRIPTION
configure
man
man/summary-methods.Rd man/isQualitative.Rd man/heterodata.Rd man/plot-methods.Rd man/is.dataType.Rd man/Rmixmod-package.Rd man/mixmodCluster.Rd man/vector2binary.Rd man/MixmodLearn-class.Rd man/finance.Rd man/CompositeParameter-class.Rd man/MixmodCluster-class.Rd man/ellipse.Rd man/MixmodResults-class.Rd man/mixmodXmlInput.Rd man/is.wholenumber.Rd man/heterodatatrain.Rd man/mixmodMultinomialModel.Rd man/barplotCluster.Rd man/mixmodGaussianModel.Rd man/Strategy-class.Rd man/MultinomialModel-class.Rd man/initialize-methods.Rd man/Model-class.Rd man/mixmodLearn.Rd man/barplot-methods.Rd man/extract-methods.Rd man/Mixmod-class.Rd man/GaussianModel-class.Rd man/GaussianParameter-class.Rd man/birds.Rd man/mixmodCompositeModel.Rd man/histCluster.Rd man/Parameter-class.Rd man/MixmodPredict-class.Rd man/mixmodPredict.Rd man/MixmodXmlInput-class.Rd man/print-methods.Rd man/CompositeModel-class.Rd man/sortByCriterion-methods.Rd man/composeModelName.Rd man/geyser.Rd man/nbFactorFromData.Rd man/mixmodStrategy.Rd man/car.Rd man/matrix2binary.Rd man/MixmodDAResults-class.Rd man/heterodatatest.Rd man/plotCluster.Rd man/MultinomialParameter-class.Rd man/asQualitative.Rd man/titanic.Rd man/show-methods.Rd man/hist-methods.Rd

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