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MixAll  

Clustering and Classification using Model-Based Mixture Models
View on CRAN: Click here


Download and install MixAll package within the R console
Install from CRAN:
install.packages("MixAll")

Install from Github:
library("remotes")
install_github("cran/MixAll")

Install by package version:
library("remotes")
install_version("MixAll", "1.5.1")



Attach the package and use:
library("MixAll")
Maintained by
Serge Iovleff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-04-04
Latest Update: 2019-09-12
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 .
How to cite:
Serge Iovleff (2015). MixAll: Clustering and Classification using Model-Based Mixture Models. R package version 1.5.1, https://cran.r-project.org/web/packages/MixAll
Previous versions and publish date:
1.0.2 (2015-04-04 23:26), 1.0 (2015-03-23 13:29), 1.1.1 (2015-08-31 19:46), 1.2.0 (2016-08-03 01:53), 1.4.2 (2018-04-08 16:29), 1.5.1 (2019-09-12 15:30), 1.5.10 (2024-01-22 01:12)
Other packages that cited MixAll R package
View MixAll citation profile
Other R packages that MixAll depends, imports, suggests or enhances
Functions, R codes and Examples using the MixAll R package
Some associated functions: ClusterAlgo-class . ClusterAlgoPredict-class . ClusterCategorical-class . ClusterCategoricalComponent-class . ClusterDiagGaussian-class . ClusterDiagGaussianComponent-class . ClusterGamma-class . ClusterGammaComponent-class . ClusterInit-class . ClusterMixedDataModel-class . ClusterModels-class . ClusterPoisson-class . ClusterPredict-class . ClusterPredictMixedData-class . ClusterStrategy-class . DebTrivedi . HeartDisease . IClusterComponent-class . IClusterPredict-class . KmmComponent-class . KmmMixedDataModel-class . KmmModel-class . LearnAlgo-class . MixAll-package . birds . bullsEye.cat . bullsEye . bullsEye.target . car . clusterAlgo . clusterAlgoPredict . clusterCategorical . clusterCategoricalNames . clusterDiagGaussian . clusterDiagGaussianNames . clusterGamma . clusterGammaNames . clusterInit . clusterMixedData . clusterPoisson . clusterPoissonNames . clusterPredict . clusterStrategy . extract-methods . geyser . initialize-methods . kmm . kmmMixedData . kmmNames . kmmStrategy . learnAlgo . learnMixedData . learners . missingValues-methods . plot-ClusterCategorical-method . plot-ClusterDiagGaussian-method . plot-ClusterGamma-method . plot-ClusterMixedDataModel-method . plot-ClusterPoisson-method . plot-KmmComponent-method . plot-KmmMixedDataModel-method . plot-KmmModel-method . print-methods . show-methods . summary-methods . 
Some associated R codes: ClusterAlgo.R . ClusterAlgoPredict.R . ClusterCategorical.R . ClusterDiagGaussian.R . ClusterGamma.R . ClusterInit.R . ClusterMixedData.R . ClusterModelNames.R . ClusterPlot.R . ClusterPoisson.R . ClusterPredict.R . ClusterStrategy.R . IClusterModel.R . IClusterPredict.R . LearnAlgo.R . Learners.R . MixAll.R . global.R . kmm.R . kmmMixedData.R . kmmNames.R . missingValues.R .  Full MixAll package functions and examples
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