Description Objects from the Class Slots Methods Examples
A class for Bradley's scores estimation results
Objects can be created by the function EstimBradley()
.
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
signature(object = "BradleyEstim")
signature(object = "BradleyEstim")
signature(object = "BradleyEstim")
signature(object = "BradleyEstim")
signature(object = "BradleyEstim")
signature(object = "BradleyEstim")
signature(object = "BradleyEstim")
signature(object = "BradleyEstim")
signature(object = "BradleyEstim")
signature(object = "BradleyEstim")
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