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Rmixmod (version 2.1.5)

Classification with Mixture Modelling

Description

Interface of 'MIXMOD' software for supervised, unsupervised and semi-supervised classification with mixture modelling.

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Version

Install

install.packages('Rmixmod')

Monthly Downloads

1,091

Version

2.1.5

License

GPL-3

Maintainer

Quentin Grimonprez

Last Published

June 14th, 2020

Functions in Rmixmod (2.1.5)

CompositeParameter-class

Constructor of ['>CompositeParameter] class
MixmodPredict-class

Constructor of ['>MixmodPredict] class
GaussianParameter-class

Constructor of ['>GaussianParameter] class
MixmodCluster-class

Constructor of ['>MixmodCluster] class
MixmodDAResults-class

Constructor of ['>MixmodDAResults] class
Mixmod-class

Constructor of ['>Mixmod] class
CompositeModel-class

Constructor of ['>CompositeModel] class
GaussianModel-class

Constructor of ['>GaussianModel] class
MixmodResults-class

Constructor of ['>MixmodResults] class
Rmixmod-package

Rmixmod a MIXture MODelling package
MultinomialParameter-class

Constructor of ['>MultinomialParameter] class
Parameter-class

Constructor of ['>Parameter] class
MixmodXmlInput-class

Constructor of ['>MixmodXmlInput] class
isQualitative

Say if a data frame contains only qualitative variables.
ellipse

Define function to draw an ellipse
composeModelName

Get the heterogeneous model name using Gaussian and Multnomial model name
MixmodXmlCheck-class

Constructor of ['>MixmodXmlCheck] class
Strategy-class

Constructor of ['>Strategy] class
[

Extract parts of a Rmixmod class
is.wholenumber

Define function to check an integer
car

Qualitative data : Car Evaluation
finance

Composite data : Financial health of companies
clusteringMain

clusteringMain
MixmodLearn-class

Constructor of ['>MixmodLearn] class
Model-class

Constructor of ['>Model] class
geyser

Quantitative data: Old Faithful Geyser
MultinomialModel-class

MultinomialModel
hist

barplotCluster

Barplot of a class ['>MixmodResults]
mixmodPredict

mixmodPredict
learnMain

learnMain
matrix2binary

Define function to transform a matrix of modalities into matrix of binary data
heterodata

Composite data with training and testing set
mixmodGaussianModel

Create an instance of the ['>GaussianModel] class
birds

Qualitative data : morphological description of birds
mixmodStrategy

Create an instance of ['>Strategy] class
histCluster

Histogram of a class ['>MixmodResults]
mixmodLearn.default

Create an instance of the ['>MixmodLearn] class
asQualitative

Convert a data frame containing integers to a qualitative data set with factors.
barplot

show

Show description of a Rmixmod class to standard output.
print

Print a Rmixmod class to standard output.
initialize,MultinomialModel-method

Create an instance of the ['>MultinomialModel] class using new/initialize.
mixmodMultinomialModel

Create an instance of the ['>MultinomialModel] class
mixmodLearn

mixmodLearn
plotCluster

Plotting of a class ['>MixmodResults]
is.dataType

Say if a data frame is quantitative, qualitative or composite
titanic

Qualitative data: Survival of passengers on the Titanic
predictMain

predictMain
plot

oldmixmodPredict

Create an instance of the ['>MixmodPredict] class
mixmodXmlCheck

mixmodXmlCheck
mixmodXmlInput

mixmodXmlInput
sortByCriterion

Sorting results of a ['>Mixmod] object by a given criterion
summary

Produce result summaries of a Rmixmod class
heterodatatest

Composite data: A testing set
vector2binary

Define function to transform a vector of modalities into matrix of binary data
mixmodCluster

Create an instance of the ['>MixmodCluster] class
mixmodCompositeModel

Create an instance of the ['>CompositeModel] class
heterodatatrain

Composite data: A training set
mixmodXmlLoad

mixmodXmlLoad
nbFactorFromData

Get the number of modalities for each column of a categorical data set
xMain

xMain