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MixAll (version 1.2.0)

Clustering using Mixture Models

Description

Algorithms and methods for estimating parametric mixture models for mixed data and with missing data.

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Version

Install

install.packages('MixAll')

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Version

1.2.0

License

GPL (>= 2)

Maintainer

Serge Iovleff

Last Published

August 2nd, 2016

Functions in MixAll (1.2.0)

clusterDiagGaussianNames

Create a vector of diagonal Gaussian mixture model names.

clusterDiagGaussian

Create an instance of the [ClusterDiagGaussian] class

bullsEye

Quantitative Data: bullsEye

clusterGammaNames

Create a vector of gamma mixture model names.

clusterGamma

Create an instance of the [ClusterGamma] class

birds

Qualitative data : morphological description of birds

clusterCategorical

Create an instance of the [ClusterCategorical] class

clusterCategoricalNames

Create a vector of Categorical mixture model names.

clusterAlgo

Create an instance of the [ClusterAlgo] class

car

Qualitative data : Car Evaluation

DebTrivedi

Counting Data: DebTrivedi

clusterPoissonNames

Create a vector of Poisson mixture model names.

clusterKernel

Create an instance of the [ClusterKernel] class

clusterStrategy

Create an instance of [ClusterStrategy] class

clusterInit

Create an instance of [ClusterInit] class

clusterPoisson

Create an instance of the [ClusterPoisson] class

[,ClusterAlgo-method

Extract parts of a MixAll S4 class

clusterKernelNames

Create a vector of Kernel mixture model names.

clusterMixedData

Create an instance of the [ClusterMixedData] class

learnAlgo

Create an instance of the [LearnAlgo] class

missingValues

Return the missing values of a component or a cluster class.

geyser

Quantitative data: Old Faithful Geyser

plot,ClusterCategorical-method

Plotting of a class [ClusterCategorical]

learnMixedData

This function learn the optimal mixture model when the class labels are known according to the criterion among the list of model given in models.

MixAll

MixAll allows to estimate parametric mixture models with mixed data sets and missing data.

plot,ClusterDiagGaussian-method

Plotting of a class [ClusterDiagGaussian]

HeartDisease.cat

Mixed data : Cleveland Heart Disease Data

initialize,ClusterAlgo-method

Initialize an instance of a MixAll S4 class.

learnDiagGaussian

Create an instance of a learn mixture model

plot,ClusterPoisson-method

Plotting of a class [ClusterPoisson]

plot,ClusterMixedData-method

Plotting of a class [ClusterMixedData]

summary,IClusterModel-method

Produce summary of a MixAll S4 class.

titanic

Qualitative data: Survival of passengers on the Titanic

plot,ClusterKernel-method

Plotting of a class [ClusterKernel]

plot,ClusterGamma-method

Plotting of a class [ClusterGamma]

show,ClusterAlgo-method

Show description of a MixAll S4 class to standard output.

print,ClusterAlgo-method

Print a MixAll S4 class to standard output.