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MixAll (version 1.4.2)

Clustering and Classification using Model-Based Mixture Models

Description

Algorithms and methods for model-based clustering and classification. It supports various types of data: continuous, categorical and counting and can handle mixed data of these types. It can fit Gaussian (with diagonal covariance structure), gamma, categorical and Poisson models. The algorithms also support missing values. This package can be used as an independent alternative to the (not free) 'mixtcomp' software available at .

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Version

Install

install.packages('MixAll')

Monthly Downloads

71

Version

1.4.2

License

GPL (>= 2)

Maintainer

Serge Iovleff

Last Published

April 8th, 2018

Functions in MixAll (1.4.2)

KmmMixedDataModel

Definition of the ['>KmmMixedDataModel] class

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

clusterGammaNames

Create a vector of gamma mixture model names.

clusterDiagGaussian

Create an instance of the ['>ClusterDiagGaussian] class

Definition of the ['>KmmModel] class

Create an instance of the ['>LearnAlgo] class

Qualitative data : morphological description of birds

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.

clusterCategoricalNames

Create a vector of Categorical mixture model names.

Create an instance of ['>ClusterInit] class

plot,ClusterGamma-method

Plotting of a class ['>ClusterGamma]

Quantitative data: Old Faithful Geyser

Create an instance of the ['>KmmMixedDataModel] class

initialize,ClusterAlgo-method

Initialize an instance of a MixAll S4 class.

Create an instance of the ['>KmmModel] class

plot,ClusterMixedDataModel-method

Plotting of a class ['>ClusterMixedDataModel]

Definition of the ['>KmmComponent] class

plot,KmmMixedDataModel-method

Plotting of a class ['>KmmMixedDataModel]

IClusterPredict

Interface class ['>IClusterPredict] for predicting

plot,KmmModel-method

Plotting of a class ['>KmmModel]

Create an instance of ['>ClusterStrategy] class

plot,ClusterCategorical-method

Plotting of a class ['>ClusterCategorical]

Create a vector of Kernel mixture model (KMM) names.

clusterMixedData

Create an instance of the ['>ClusterMixedDataModel] class

Qualitative data : Car Evaluation

Quantitative Data: bullsEye

IClusterComponent

Definition of the ['>IClusterComponent] class

Create an instance of the ['>ClusterAlgo] class

Create an instance of the ['>ClusterPoisson] class

clusterCategorical

Create an instance of the ['>ClusterCategorical] class

plot,ClusterDiagGaussian-method

Plotting of a class ['>ClusterDiagGaussian]

bullsEye.target

label Data: bullsEye.target

clusterDiagGaussianNames

Create a vector of diagonal Gaussian mixture model names.

clusterAlgoPredict

Create an instance of the ['>ClusterAlgoPredict] class

clusterPoissonNames

Create a vector of Poisson mixture model names.

Create an instance of ['>ClusterPredict] class

Create an instance of the ['>ClusterGamma] class

label Data: bullsEye.cat

clusterStrategy

A strategy is a multistage empirical process for finding a good estimate in the clustering estimation process.

[,ClusterAlgo-method

Extract parts of a MixAll S4 class

plot,ClusterPoisson-method

Plotting of a class ['>ClusterPoisson]

plot,KmmComponent-method

Plotting of a class ['>KmmComponent]

learnDiagGaussian

Create an instance of a learn mixture model

summary,IClusterComponent-method

Produce summary of a MixAll S4 class.

print,ClusterAlgo-method

Print a MixAll S4 class to standard output.

show,ClusterAlgo-method

Show description of a MixAll S4 class to standard output.

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

ClusterAlgoPredict

['>ClusterAlgoPredict] class for predict algorithm.

['>ClusterAlgo] class for Cluster algorithms.

Definition of the ['>ClusterGamma] class

Interface base Class ['>IClusterModel] for Cluster models.

ClusterGammaComponent

Definition of the ['>ClusterGammaComponent] class

Definition of the ['>ClusterPoisson] class

HeartDisease.cat

Mixed data : Cleveland Heart Disease Data

ClusterCategorical-class

Definition of the ['>ClusterCategorical] class

ClusterDiagGaussianComponent

Definition of the ['>ClusterDiagGaussianComponent] class

ClusterDiagGaussian

Definition of the ['>ClusterDiagGaussian] class

ClusterCategoricalComponent

Definition of the ['>ClusterCategoricalComponent] class

ClusterStrategy

Constructor of ['>ClusterStrategy] class

Counting Data: DebTrivedi

Class ['>ClusterPredict] for predicting

ClusterPredictMixedData

Class ['>ClusterPredictMixedData] for predicting

['>LearnAlgo] class for Cluster algorithms.

Constructor of the ['>ClusterInit] class

ClusterMixedDataModel

Definition of the ['>ClusterMixedDataModel] class