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MixAll (version 1.5.10)

initialize,ClusterAlgo-method: Initialize an instance of a MixAll S4 class.

Description

Initialization method of the [ClusterAlgo] class. Used internally in the `MixAll' package.

Initialization method of the [ClusterAlgoPredict] class. Used internally in the `MixAll' package.

Initialization method of the [ClusterInit] class. Used internally in the 'MixAll' package.

Initialization method of the [ClusterStrategy] class. Used internally in the 'MixAll' package.

Initialization method of the [IClusterComponent] class. Used internally in the 'MixAll' package.

Initialization method of the [IClusterModel] class. Used internally in the 'MixAll' package.

Initialization method of the [ClusterCategoricalComponent] class. Used internally in the `MixAll' package.

Initialization method of the [ClusterCategorical] class. Used internally in the `MixAll' package.

Initialization method of the [ClusterDiagGaussianComponent] class. Used internally in the 'MixAll' package.

Initialization method of the [ClusterDiagGaussian] class. Used internally in the 'MixAll' package.

Initialization method of the [ClusterGammaComponent] class. Used internally in the 'MixAll' package.

Initialization method of the [ClusterGamma] class. Used internally in the 'MixAll' package.

Initialization method of the [ClusterMixedDataModel] class. Used internally in the 'MixAll' package.

Initialization method of the [ClusterPoissonComponent] class. Used internally in the 'MixAll' package.

Initialization method of the [ClusterPoisson] class. Used internally in the 'MixAll' package.

Initialization method of the [IClusterPredict] class. Used internally in the 'MixAll' package.

Initialization method of the [ClusterPredict] class. Used internally in the 'MixAll' package.

Initialization method of the [ClusterPredictMixedData] class. Used internally in the 'MixAll' package.

Initialization method of the [LearnAlgo] class. Used internally in the `MixAll' package.

Initialization method of the [KmmComponent] class. Used internally in the 'MixAll' package.

Initialization method of the [KmmModel] class. Used internally in the 'MixAll' package.

Initialization method of the [KmmMixedDataModel] class. Used internally in the 'MixAll' package.

Usage

# S4 method for ClusterAlgo
initialize(.Object, algo, nbIteration, epsilon)
# S4 method for ClusterAlgoPredict
initialize(.Object, algo, nbIterBurn, nbIterLong, epsilon)
# S4 method for ClusterInit
initialize(
  .Object,
  method = "class",
  nbInit = 5,
  algo = clusterAlgo("EM", 20, 0)
)
# S4 method for ClusterStrategy
initialize(.Object, nbTry, nbShortRun, initMethod, shortAlgo, longAlgo)
# S4 method for IClusterComponent
initialize(.Object, data, modelName)
# S4 method for IClusterModel
initialize(.Object, nbSample, nbCluster)
# S4 method for ClusterCategoricalComponent
initialize(
  .Object,
  data = matrix(nrow = 0, ncol = 0),
  nbCluster = 2,
  modelName = "categorical_pk_pjk"
)
# S4 method for ClusterCategorical
initialize(
  .Object,
  data = matrix(nrow = 0, ncol = 0),
  nbCluster = 2,
  modelName = "categorical_pk_pjk"
)
# S4 method for ClusterDiagGaussianComponent
initialize(
  .Object,
  data = matrix(nrow = 0, ncol = 0),
  nbCluster = 2,
  modelName = "gaussian_pk_sjk"
)
# S4 method for ClusterDiagGaussian
initialize(
  .Object,
  data = matrix(nrow = 0, ncol = 0),
  nbCluster = 2,
  modelName = "gaussian_pk_sjk"
)
# S4 method for ClusterGammaComponent
initialize(
  .Object,
  data = matrix(nrow = 0, ncol = 0),
  nbCluster = 2,
  modelName = "gamma_pk_ajk_bjk"
)
# S4 method for ClusterGamma
initialize(
  .Object,
  data = matrix(nrow = 0, ncol = 0),
  nbCluster = 2,
  modelName = "gamma_pk_ajk_bjk"
)
# S4 method for ClusterMixedDataModel
initialize(.Object, lcomponent, nbCluster = 2)
# S4 method for ClusterPoissonComponent
initialize(
  .Object,
  data = matrix(nrow = 0, ncol = 0),
  nbCluster = 2,
  modelName = "poisson_pk_ljk"
)
# S4 method for ClusterPoisson
initialize(
  .Object,
  data = matrix(nrow = 0, ncol = 0),
  nbCluster = 2,
  modelName = "poisson_pk_ljk"
)
# S4 method for IClusterPredict
initialize(.Object, nbSample, model, algo)
# S4 method for ClusterPredict
initialize(.Object, data, model, algo = clusterAlgoPredict())
# S4 method for ClusterPredictMixedData
initialize(.Object, ldata, model, algo = clusterAlgoPredict())
# S4 method for LearnAlgo
initialize(.Object, algo, nbIteration, epsilon)
# S4 method for KmmComponent
initialize(
  .Object,
  data,
  dim = 10,
  nbCluster = 2,
  modelName = "kmm_pk_s",
  kernelName = "Gaussian",
  kernelParameters = c(1),
  kernelComputation = TRUE
)
# S4 method for KmmModel
initialize(
  .Object,
  data,
  nbCluster = 2,
  modelName = "kmm_pk_s",
  dim = 10,
  kernelName = "Gaussian",
  kernelParameters = c(1),
  kernelComputation = TRUE
)
# S4 method for KmmMixedDataModel
initialize(.Object, lcomponent, nbCluster = 2)

Arguments