initialize-methods: Initialize an instance of a MixAll S4 class.

In MixAll: Clustering and Classification using Model-Based Mixture Models

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 signature 'ClusterAlgo'
initialize(.Object, algo, nbIteration, epsilon)

## S4 method for signature 'ClusterAlgoPredict'
initialize(.Object, algo, nbIterBurn,
  nbIterLong, epsilon)

## S4 method for signature 'ClusterInit'
initialize(.Object, method = "class",
  nbInit = 5, algo = clusterAlgo("EM", 20, 0))

## S4 method for signature 'ClusterStrategy'
initialize(.Object, nbTry, nbShortRun,
  initMethod, shortAlgo, longAlgo)

## S4 method for signature 'IClusterComponent'
initialize(.Object, data, modelName)

## S4 method for signature 'IClusterModel'
initialize(.Object, nbSample, nbCluster)

## S4 method for signature 'ClusterCategoricalComponent'
initialize(.Object,
  data = matrix(nrow = 0, ncol = 0), nbCluster = 2,
  modelName = "categorical_pk_pjk")

## S4 method for signature 'ClusterCategorical'
initialize(.Object, data = matrix(nrow =
  0, ncol = 0), nbCluster = 2, modelName = "categorical_pk_pjk")

## S4 method for signature 'ClusterDiagGaussianComponent'
initialize(.Object,
  data = matrix(nrow = 0, ncol = 0), nbCluster = 2,
  modelName = "gaussian_pk_sjk")

## S4 method for signature 'ClusterDiagGaussian'
initialize(.Object, data = matrix(nrow =
  0, ncol = 0), nbCluster = 2, modelName = "gaussian_pk_sjk")

## S4 method for signature 'ClusterGammaComponent'
initialize(.Object, data = matrix(nrow
  = 0, ncol = 0), nbCluster = 2, modelName = "gamma_pk_ajk_bjk")

## S4 method for signature 'ClusterGamma'
initialize(.Object, data = matrix(nrow = 0, ncol
  = 0), nbCluster = 2, modelName = "gamma_pk_ajk_bjk")

## S4 method for signature 'ClusterMixedDataModel'
initialize(.Object, lcomponent,
  nbCluster = 2)

## S4 method for signature 'ClusterPoissonComponent'
initialize(.Object,
  data = matrix(nrow = 0, ncol = 0), nbCluster = 2,
  modelName = "poisson_pk_ljk")

## S4 method for signature 'ClusterPoisson'
initialize(.Object, data = matrix(nrow = 0,
  ncol = 0), nbCluster = 2, modelName = "poisson_pk_ljk")

## S4 method for signature 'IClusterPredict'
initialize(.Object, nbSample, model, algo)

## S4 method for signature 'ClusterPredict'
initialize(.Object, data, model,
  algo = clusterAlgoPredict())

## S4 method for signature 'ClusterPredictMixedData'
initialize(.Object, ldata, model,
  algo = clusterAlgoPredict())

## S4 method for signature 'LearnAlgo'
initialize(.Object, algo, nbIteration, epsilon)

## S4 method for signature 'KmmComponent'
initialize(.Object, data, dim = 10,
  nbCluster = 2, modelName = "kmm_pk_s", kernelName = "Gaussian",
  kernelParameters = c(1), kernelComputation = TRUE)

## S4 method for signature 'KmmModel'
initialize(.Object, data, nbCluster = 2,
  modelName = "kmm_pk_s", dim = 10, kernelName = "Gaussian",
  kernelParameters = c(1), kernelComputation = TRUE)

## S4 method for signature 'KmmMixedDataModel'
initialize(.Object, lcomponent,
  nbCluster = 2)

MixAll documentation built on Sept. 12, 2019, 5:05 p.m.