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MixAll (version 1.4.2)

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, nbCluster, algo)
# S4 method for ClusterPredict
initialize(.Object, data, nbCluster,
  algo = clusterAlgoPredict())
# S4 method for ClusterPredictMixedData
initialize(.Object, ldata, nbCluster,
  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