Package: MixAll 1.5.16
Serge Iovleff
MixAll: Clustering and Classification using Model-Based Mixture Models
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.
Authors:
MixAll_1.5.16.tar.gz
MixAll_1.5.16.tar.gz(r-4.5-noble)MixAll_1.5.16.tar.gz(r-4.4-noble)
MixAll_1.5.16.tgz(r-4.4-emscripten)MixAll_1.5.16.tgz(r-4.3-emscripten)
MixAll.pdf |MixAll.html✨
MixAll/json (API)
NEWS
| # Install 'MixAll' in R: |
| install.packages('MixAll', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- DebTrivedi - Counting Data: DebTrivedi
- HeartDisease.cat - Mixed data : Cleveland Heart Disease Data
- HeartDisease.cont - Mixed data : Cleveland Heart Disease Data
- HeartDisease.target - Mixed data : Cleveland Heart Disease Data
- birds - Qualitative data : morphological description of birds
- bullsEye - Quantitative Data: bullsEye
- bullsEye.cat - Label Data: bullsEye.cat
- bullsEye.target - Label Data: bullsEye.target
- car - Qualitative data : Car Evaluation
- geyser - Quantitative data: Old Faithful Geyser
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:438e0e0fbe. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 13 2024 |
| R-4.5-linux-x86_64 | OK | Oct 13 2024 |
Exports:clusterAlgoclusterAlgoPredictclusterCategoricalclusterCategoricalNamesclusterDiagGaussianclusterDiagGaussianNamesclusterFastStrategyclusterGammaclusterGammaNamesclusterInitclusterMixedDataclusterPoissonclusterPoissonNamesclusterPredictclusterSemiSEMStrategyclusterSEMStrategyclusterStrategyclusterValidCategoricalNamesclusterValidDiagGaussianNamesclusterValidGammaNamesclusterValidPoissonNameskmmkmmMixedDatakmmNameskmmStrategykmmValidKernelNameskmmValidModelNameslearnAlgolearnCategoricallearnDiagGaussianlearnGammalearnMixedDatalearnPoissonmissingValuesplotprintshowsummary
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| MixAll Allows to estimate parametric mixture models with mixed data sets and missing data. | MixAll-package MixAll |
| Extract parts of a MixAll S4 class | Extract [ [,ClusterAlgo-method [,ClusterAlgoPredict-method [,ClusterCategoricalComponent-method [,ClusterDiagGaussianComponent-method [,ClusterGammaComponent-method [,ClusterInit-method [,ClusterPoissonComponent-method [,ClusterStrategy-method [,KmmComponent-method [,LearnAlgo-method [<-,ClusterAlgo-method [<-,ClusterAlgoPredict-method [<-,ClusterInit-method [<-,ClusterStrategy-method [<-,LearnAlgo-method |
| Qualitative data : morphological description of birds | birds |
| Quantitative Data: bullsEye | bullsEye |
| label Data: bullsEye.cat | bullsEye.cat |
| label Data: bullsEye.target | bullsEye.target |
| Qualitative data : Car Evaluation | car |
| Create an instance of the ['ClusterAlgo'] class | clusterAlgo |
| ['ClusterAlgo'] class for Cluster algorithms. | ClusterAlgo ClusterAlgo-class |
| Create an instance of the ['ClusterAlgoPredict'] class | clusterAlgoPredict |
| ['ClusterAlgoPredict'] class for predict algorithm. | ClusterAlgoPredict ClusterAlgoPredict-class |
| Create an instance of the ['ClusterCategorical'] class | clusterCategorical |
| Definition of the ['ClusterCategorical'] class | ClusterCategorical-class |
| Definition of the ['ClusterCategoricalComponent'] class | ClusterCategoricalComponent ClusterCategoricalComponent-class |
| Create a vector of Categorical mixture model names. | clusterCategoricalNames clusterValidCategoricalNames |
| Create an instance of the ['ClusterDiagGaussian'] class | clusterDiagGaussian |
| Definition of the ['ClusterDiagGaussian'] class | ClusterDiagGaussian ClusterDiagGaussian-class |
| Definition of the ['ClusterDiagGaussianComponent'] class | ClusterDiagGaussianComponent ClusterDiagGaussianComponent-class |
| Create a vector of diagonal Gaussian mixture model names. | clusterDiagGaussianNames clusterValidDiagGaussianNames |
| Create an instance of the ['ClusterGamma'] class | clusterGamma |
| Definition of the ['ClusterGamma'] class | ClusterGamma ClusterGamma-class |
| Definition of the ['ClusterGammaComponent'] class | ClusterGammaComponent ClusterGammaComponent-class |
| Create a vector of gamma mixture model names. | clusterGammaNames clusterValidGammaNames |
| Create an instance of ['ClusterInit'] class | clusterInit |
| Constructor of the ['ClusterInit'] class | ClusterInit ClusterInit-class |
| Create an instance of the ['ClusterMixedDataModel'] class | clusterMixedData |
| Definition of the ['ClusterMixedDataModel'] class | ClusterMixedDataModel ClusterMixedDataModel-class |
| Create an instance of the ['ClusterPoisson'] class | clusterPoisson |
| Definition of the ['ClusterPoisson'] class | ClusterPoisson ClusterPoisson-class |
| Create a vector of Poisson mixture model names. | clusterPoissonNames clusterValidPoissonNames |
| Create an instance of ['ClusterPredict'] class | clusterPredict |
| Class ['ClusterPredict'] for predicting | ClusterPredict ClusterPredict-class |
| Class ['ClusterPredictMixedData'] for predicting | ClusterPredictMixedData ClusterPredictMixedData-class |
| A strategy is a multistage empirical process for finding a good estimate in the clustering estimation process. | clusterFastStrategy clusterSemiSEMStrategy clusterSEMStrategy clusterStrategy |
| Constructor of ['ClusterStrategy'] class | ClusterStrategy ClusterStrategy-class |
| Counting Data: DebTrivedi | DebTrivedi |
| Quantitative data: Old Faithful Geyser | geyser |
| Mixed data : Cleveland Heart Disease Data | HeartDisease HeartDisease.cat HeartDisease.cont HeartDisease.target |
| Definition of the ['IClusterComponent'] class | ClusterPoissonComponent ClusterPoissonComponent-class IClusterComponent IClusterComponent-class |
| Interface base Class ['IClusterModel'] for Cluster models. | IClusterModel IClusterModel-class |
| Interface class ['IClusterPredict'] for predicting | IClusterPredict IClusterPredict-class |
| Create an instance of the ['KmmModel'] class | kmm |
| Definition of the ['KmmComponent'] class | KmmComponent KmmComponent-class |
| Create an instance of the ['KmmMixedDataModel'] class | kmmMixedData |
| Definition of the ['KmmMixedDataModel'] class | KmmMixedDataModel KmmMixedDataModel-class |
| Definition of the ['KmmModel'] class | KmmModel KmmModel-class |
| Create a vector of Kernel mixture model (KMM) names. | kmmNames kmmValidKernelNames kmmValidModelNames |
| Create an instance of ['ClusterStrategy'] class | kmmStrategy |
| Create an instance of the ['LearnAlgo'] class | learnAlgo |
| ['LearnAlgo'] class for Cluster algorithms. | LearnAlgo LearnAlgo-class |
| Create an instance of a learn mixture model | learnCategorical learnDiagGaussian learnGamma learnPoisson |
| 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'. | learnMixedData |
| Return the missing values of a component or a cluster class. | missingValues missingValues,ClusterCategorical-method missingValues,ClusterCategoricalComponent-method missingValues,ClusterDiagGaussian-method missingValues,ClusterDiagGaussianComponent-method missingValues,ClusterGamma-method missingValues,ClusterGammaComponent-method missingValues,ClusterMixedDataModel-method missingValues,ClusterPoisson-method missingValues,ClusterPoissonComponent-method missingValues,ClusterPredict-method missingValues,ClusterPredictMixedData-method missingValues,KmmComponent-method missingValues,KmmModel-method |
| Plotting of a class ['ClusterCategorical'] | plot,ClusterCategorical-method plot-ClusterCategorical |
| Plotting of a class ['ClusterDiagGaussian'] | plot,ClusterDiagGaussian-method plot-ClusterDiagGaussian |
| Plotting of a class ['ClusterGamma'] | ClusterGamma-method plot,ClusterGamma-method plot-ClusterGamma, |
| Plotting of a class ['ClusterMixedDataModel'] | plot,ClusterMixedDataModel-method plot-ClusterMixedDataModel |
| Plotting of a class ['ClusterPoisson'] | ClusterPoisson-method plot,ClusterPoisson-method plot-ClusterPoisson, |
| Plotting of a class ['KmmComponent'] | plot,KmmComponent-method plot-KmmComponent |
| Plotting of a class ['KmmMixedDataModel'] | plot,KmmMixedDataModel-method plot-KmmMixedDataModel |
| Plotting of a class ['KmmModel'] | plot,KmmModel-method plot-KmmModel |
| Print a MixAll S4 class to standard output. | print print,ClusterAlgo-method print,ClusterAlgoPredict-method print,ClusterCategorical-method print,ClusterCategoricalComponent-method print,ClusterDiagGaussian-method print,ClusterDiagGaussianComponent-method print,ClusterGamma-method print,ClusterGammaComponent-method print,ClusterInit-method print,ClusterMixedDataModel-method print,ClusterPoisson-method print,ClusterPoissonComponent-method print,ClusterPredict-method print,ClusterPredictMixedData-method print,ClusterStrategy-method print,IClusterComponent-method print,IClusterModel-method print,IClusterPredict-method print,KmmComponent-method print,KmmMixedDataModel-method print,KmmModel-method print,LearnAlgo-method print-algo,ClusterAlgo-method print-algo,ClusterAlgoPredict-method print-algo,LearnAlgo-method print-init,ClusterInit,ClusterInit-method print-strategy,ClusterStrategy-method |
| Show description of a MixAll S4 class to standard output. | show show,ClusterAlgo-method show,ClusterAlgoPredict-method show,ClusterCategorical-method show,ClusterCategoricalComponent-method show,ClusterDiagGaussian-method show,ClusterDiagGaussianComponent-method show,ClusterGamma-method show,ClusterGammaComponent-method show,ClusterInit-method show,ClusterMixedDataModel-method show,ClusterPoisson-method show,ClusterPoissonComponent-method show,ClusterPredict-method show,ClusterPredictMixedData-method show,ClusterStrategy-method show,IClusterComponent-method show,IClusterModel-method show,IClusterPredict-method show,KmmComponent-method show,KmmMixedDataModel-method show,KmmModel-method show,LearnAlgo-method show-algo,ClusterAlgo-method show-algo,ClusterAlgoPredict-method show-algo,LearnAlgo-method show-ClusterCategorical,ClusterCategorical,ClusterCategorical-method show-ClusterCategoricalComponent,ClusterCategoricalComponent,ClusterCategoricalComponent-method show-ClusterDiagGaussian,ClusterDiagGaussian,ClusterDiagGaussian-method show-ClusterDiagGaussianComponent,ClusterDiagGaussianComponent,ClusterDiagGaussianComponent-method show-ClusterGamma,ClusterGamma,ClusterGamma-method show-ClusterGammaComponent,ClusterGammaComponent,ClusterGammaComponent-method show-ClusterMixedDataModel,ClusterMixedDataModel,ClusterMixedDataModel-method show-ClusterPoisson,ClusterPoisson,ClusterPoisson-method show-ClusterPoissonComponent,ClusterPoissonComponent,ClusterPoissonComponent-method show-IClusterComponent,IClusterComponent,IClusterComponent-method show-init,ClusterInit,ClusterInit-method show-KmmComponent,KmmComponent,KmmComponent-method show-KmmMixedDataModel,KmmMixedDataModel,KmmMixedDataModel-method show-KmmModel,KmmModel,KmmModel-method show-strategy,ClusterStrategy-method |
| Produce summary of a MixAll S4 class. | summary summary,ClusterCategorical-method summary,ClusterCategoricalComponent-method summary,ClusterDiagGaussian-method summary,ClusterGamma-method summary,ClusterMixedDataModel-method summary,ClusterPoisson-method summary,ClusterPredict-method summary,ClusterPredictMixedData-method summary,IClusterComponent-method summary,IClusterModel-method summary,IClusterPredict-method summary,KmmMixedDataModel-method summary,KmmModel-method summary-ClusterCategoricalComponent,ClusterCategoricalComponent,ClusterCategoricalComponent-method |
