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MixAll (version 1.5.10)

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.

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Version

Install

install.packages('MixAll')

Monthly Downloads

714

Version

1.5.10

License

GPL (>= 2)

Maintainer

Last Published

January 22nd, 2024

Functions in MixAll (1.5.10)

ClusterStrategy

Constructor of [ClusterStrategy] class

[LearnAlgo] class for Cluster algorithms.

clusterGammaNames

Create a vector of gamma mixture model names.

Create an instance of the [ClusterAlgo] class

Create an instance of the [ClusterPoisson] class

clusterDiagGaussian

Create an instance of the [ClusterDiagGaussian] class

clusterMixedData

Create an instance of the [ClusterMixedDataModel] class

clusterCategoricalNames

Create a vector of Categorical mixture model names.

Qualitative data : Car Evaluation

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

clusterCategorical

Create an instance of the [ClusterCategorical] class

Create an instance of [ClusterInit] class

Create an instance of [ClusterStrategy] class

clusterPoissonNames

Create a vector of Poisson mixture model names.

Create an instance of [ClusterPredict] class

clusterAlgoPredict

Create an instance of the [ClusterAlgoPredict] class

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

Quantitative data: Old Faithful Geyser

Qualitative data : morphological description of birds

Counting Data: DebTrivedi

label Data: bullsEye.cat

Quantitative Data: bullsEye

initialize,ClusterAlgo-method

Initialize an instance of a MixAll S4 class.

KmmMixedDataModel

Definition of the [KmmMixedDataModel] class

clusterStrategy

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

Definition of the [KmmModel] class

plot,ClusterPoisson-method

Plotting of a class [ClusterPoisson]

plot,ClusterMixedDataModel-method

Plotting of a class [ClusterMixedDataModel]

plot,KmmComponent-method

Plotting of a class [KmmComponent]

plot,ClusterGamma-method

Plotting of a class [ClusterGamma]

[,ClusterAlgo-method

Extract parts of a MixAll S4 class

plot,ClusterCategorical-method

Plotting of a class [ClusterCategorical]

Create an instance of the [KmmModel] class

clusterDiagGaussianNames

Create a vector of diagonal Gaussian mixture model names.

bullsEye.target

label Data: bullsEye.target

Create an instance of the [ClusterGamma] class

Create an instance of the [LearnAlgo] class

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.

print,ClusterAlgo-method

Print a MixAll S4 class to standard output.

summary,IClusterComponent-method

Produce summary of a MixAll S4 class.

plot,ClusterDiagGaussian-method

Plotting of a class [ClusterDiagGaussian]

show,ClusterAlgo-method

Show description of a MixAll S4 class to standard output.

Create an instance of the [KmmMixedDataModel] class

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

learnDiagGaussian

Create an instance of a learn mixture model

plot,KmmModel-method

Plotting of a class [KmmModel]

plot,KmmMixedDataModel-method

Plotting of a class [KmmMixedDataModel]

ClusterDiagGaussian

Definition of the [ClusterDiagGaussian] class

Definition of the [ClusterGamma] class

Constructor of the [ClusterInit] class

ClusterCategoricalComponent

Definition of the [ClusterCategoricalComponent] class

[ClusterAlgo] class for Cluster algorithms.

ClusterGammaComponent

Definition of the [ClusterGammaComponent] class

ClusterMixedDataModel

Definition of the [ClusterMixedDataModel] class

ClusterCategorical-class

Definition of the [ClusterCategorical] class

ClusterDiagGaussianComponent

Definition of the [ClusterDiagGaussianComponent] class

ClusterAlgoPredict

[ClusterAlgoPredict] class for predict algorithm.

Definition of the [ClusterPoisson] class

IClusterPredict

Interface class [IClusterPredict] for predicting

Class [ClusterPredict] for predicting

Definition of the [KmmComponent] class

Interface base Class [IClusterModel] for Cluster models.

IClusterComponent

Definition of the [IClusterComponent] class

HeartDisease.cat

Mixed data : Cleveland Heart Disease Data

ClusterPredictMixedData

Class [ClusterPredictMixedData] for predicting