Rmixmod: Supervised, Unsupervised, Semi-Supervised Classification with MIXture MODelling (Interface of MIXMOD Software)
Version 2.1.1

Interface of MIXMOD software for supervised, unsupervised and semi-Supervised classification with MIXture MODelling.

Browse man pages Browse package API and functions Browse package files

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
URL http://www.mixmod.org
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("Rmixmod")

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

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

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
Rmixmod documentation built on May 20, 2017, 1:12 a.m.