initialize,MultinomialModel-method {Rmixmod} | R Documentation |
MultinomialModel
] class using new/initialize.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.
## 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)