R: Create an instance of the ['MultinomialModel'] class using...

initialize,MultinomialModel-method {Rmixmod} | R Documentation

## 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 signature 'MultinomialModel'
    initialize(.Object, listModels, free.proportions,
      equal.proportions, variable.independency, component.independency)

    ## S4 method for signature 'GaussianModel'
    initialize(.Object, listModels, family,
      free.proportions, equal.proportions)

    ## S4 method for signature 'CompositeModel'
    initialize(.Object, listModels, free.proportions,
      equal.proportions, variable.independency, component.independency)

    ## S4 method for signature 'Mixmod'
    initialize(.Object, data, dataType, models, weight,
      knownLabels, xmlIn, xmlOut, seed, trace, massiccc)

    ## S4 method for signature 'Strategy'
    initialize(.Object, algo, nbTry, initMethod, nbTryInInit,
      nbIterationInInit, nbIterationInAlgo, epsilonInInit, epsilonInAlgo, seed,
      parameter, labels)

    ## S4 method for signature '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 signature '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 signature 'MixmodPredict'
    initialize(.Object, data, classificationRule,
      xmlIn = NULL, xmlOut = NULL, trace = 0, massiccc = 0)

### See Also

`initialize`

`initialize`

`initialize`

`initialize`

`initialize`

`initialize`

`initialize`

`initialize`

[Package Rmixmod version 2.1.2.2 Index]