Rmixmod (version 2.1.10)

initialize,MultinomialModel-method: Create an instance of the [MultinomialModel] class using new/initialize.

Description

Initialization method. Used internally in the `Rmixmod' package.

Initialization method. Used internally in the `Rmixmod' package.

Initialization method. Used internally in the `Rmixmod' package.

Initialization method. Used internally in the `Rmixmod' package.

Initialization method. Used internally in the `Rmixmod' package.

Initialization method. Used internally in the `Rmixmod' package.

Initialization method. Used internally in the `Rmixmod' package.

Initialization method. Used internally in the `Rmixmod' package.

Usage

# S4 method for MultinomialModel
initialize(
  .Object,
  listModels,
  free.proportions,
  equal.proportions,
  variable.independency,
  component.independency
)
# S4 method for GaussianModel
initialize(.Object, listModels, family, free.proportions, equal.proportions)
# S4 method for CompositeModel
initialize(
  .Object,
  listModels,
  free.proportions,
  equal.proportions,
  variable.independency,
  component.independency
)
# S4 method for Mixmod
initialize(
  .Object,
  data,
  dataType,
  models,
  weight,
  knownLabels,
  xmlIn,
  xmlOut,
  seed,
  trace,
  massiccc
)
# S4 method for Strategy
initialize(
  .Object,
  algo,
  nbTry,
  initMethod,
  nbTryInInit,
  nbIterationInInit,
  nbIterationInAlgo,
  epsilonInInit,
  epsilonInAlgo,
  seed,
  parameter,
  labels
)
# S4 method for MixmodCluster
initialize(
  .Object,
  data = NULL,
  nbCluster = NULL,
  dataType = NULL,
  models = NULL,
  strategy = NULL,
  criterion = NULL,
  weight = NULL,
  knownLabels = NULL,
  seed = -1,
  xmlIn = NULL,
  xmlOut = NULL,
  trace = 0,
  massiccc = 0
)
# S4 method for MixmodLearn
initialize(
  .Object,
  data = NULL,
  knownLabels = NULL,
  dataType = NULL,
  models = NULL,
  criterion = "CV",
  nbCVBlocks = 10,
  weight = NULL,
  seed = -1,
  xmlIn = NULL,
  xmlOut = NULL,
  trace = 0,
  massiccc = 0
)
# S4 method for MixmodPredict
initialize(
  .Object,
  data,
  classificationRule,
  xmlIn = NULL,
  xmlOut = NULL,
  trace = 0,
  massiccc = 0
)

See Also

initialize

initialize

initialize

initialize

initialize

initialize

initialize

initialize