BradleyEstim-class {CompR} | R Documentation |

`"BradleyEstim"`

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

- 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")`

data(ResCocktail1) show(ResCocktail1)

[Package *CompR* version 1.0 Index]