'global.R' 'ClusterAlgo.R' 'ClusterInit.R' 'ClusterStrategy.R'
'IClusterModel.R' 'ClusterCategorical.R' 'ClusterPoisson.R'
'ClusterDiagGaussian.R' 'ClusterHeterogeneous.R'
'ClusterGamma.R' 'ClusterModelNames.R' 'ClusterPlot.R'
'missingValues.R' 'MixAll.R'

'global.R' 'MixAll.R' 'ClusterAlgo.R' 'ClusterInit.R'
'ClusterStrategy.R' 'ClusterModelNames.R' 'IClusterModel.R'
'ClusterCategorical.R' 'ClusterDiagGaussian.R' 'ClusterGamma.R'
'ClusterPoisson.R' 'ClusterHeterogeneous.R' 'ClusterKernel.R'
'ClusterPlot.R' 'missingValues.R'

c(person("Serge", "Iovleff", role = c("aut","cre"), email = "Serge.Iovleff@stkpp.org"))
Algorithms and methods for estimating parametric mixture models for
mixed data and with missing data.
'ClusterAlgo.R' 'ClusterInit.R' 'ClusterStrategy.R'
'IClusterModel.R' 'ClusterModelNames.R' 'global.R'
'ClusterCategorical.R' 'ClusterDiagGaussian.R' 'ClusterGamma.R'
'ClusterKernel.R' 'ClusterMixedData.R' 'ClusterPlot.R'
'ClusterPoisson.R' 'LearnAlgo.R' 'Learners.R' 'MixAll.R'
'missingValues.R'

Clustering and Classification using Model-Based Mixture Models
c(person("Serge", "Iovleff", role = c("aut","cre"), email = "Serge.Iovleff@stkpp.org")
,person("Parmeet", "Bathia", role = c("ctb"), email = "Bathia.Parmeet@gmail.com")
)
Serge Iovleff [aut, cre],
Parmeet Bathia [ctb]
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 <https://massiccc.lille.inria.fr/>.
'ClusterAlgo.R' 'ClusterAlgoPredict.R' 'ClusterInit.R'
'ClusterStrategy.R' 'IClusterModel.R' 'ClusterModelNames.R'
'global.R' 'ClusterCategorical.R' 'ClusterDiagGaussian.R'
'ClusterGamma.R' 'ClusterMixedData.R' 'ClusterPlot.R'
'ClusterPoisson.R' 'IClusterPredict.R' 'ClusterPredict.R'
'LearnAlgo.R' 'Learners.R' 'MixAll.R' 'kmmNames.R' 'kmm.R'
'kmmMixedData.R' 'missingValues.R'