Class "BradleyEstim"

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Description

A class for Bradley's scores estimation results

Objects from the Class

Objects can be created by the function EstimBradley().

Slots

Lvriter:

Object of class "matrix" corresponding to the number of iterations of the EM algorithm, LogLikelihoods at the previous step and the current step, and the differences between these 2 LogLikelihoods

Lvr:

Object of class "numeric" final value of the LogLikelihood

Lambda:

Object of class "matrix" weights of the different classes

Pi:

Object of class "list" Bradley's scores for each class and each criteria

Zh:

Object of class "matrix" with the posterior probabilities for each individual to belong to the different classes and the class with the higher probability

Ic:

Object of class "matrix" value of the different Information criterion (AIC, BIC, CAIC)

Restestglob:

Object of class "list" result of testing the whole Bradley's scores equality for each class and each criteria

Restestprod:

Object of class "list" result of multiple comparison tests for Bradley's scores in each class and for each criteria

Varcov:

Object of class "list" of covaraince matrices of Bradley's scores in each class and for each criteria

Methods

getIc

signature(object = "BradleyEstim")

getLambda

signature(object = "BradleyEstim")

getLvr

signature(object = "BradleyEstim")

getLvriter

signature(object = "BradleyEstim")

getPi

signature(object = "BradleyEstim")

getRestestglob

signature(object = "BradleyEstim")

getRestestprod

signature(object = "BradleyEstim")

getVarcov

signature(object = "BradleyEstim")

getZh

signature(object = "BradleyEstim")

show

signature(object = "BradleyEstim")

Examples

1
2
data(ResCocktail1)
show(ResCocktail1)

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