IdtSngNDE-class: Class "IdtSngNDE"

Description

Contains the results of a single class maximum likelihood estimation for the Normal distribution, with the four different possible variance-covariance configurations.

Arguments

Slots

mleNmuE:: Matrix with the maximum likelihood mean vectors estimates
mleNmuEse:: Matrix with the maximum likelihood means' standard errors by group
CovConfCases:: List of the considered configurations
ModelNames:: Inherited from class "IdtE". The model acronym formed by a "N", indicating a Normal model, followed by the configuration (Case 1 through Case 4)
ModelType:: Inherited from class "IdtE". Indicates the model; always set to "Normal" in objects of the "IdtSngNDE" class
ModelConfig:: Inherited from class "IdtE". Configuration of the variance-covariance matrix: Case 1 through Case 4
NIVar:: Inherited from class "IdtE". Number of interval variables
SelCrit:: Inherited from class "IdtE". The model selection criterion; currently, AIC and BIC are implemented
logLiks:: Inherited from class "IdtE". The logarithms of the likelihood function for the different cases
AICs:: Inherited from class "IdtE". Value of the AIC criterion
BICs:: Inherited from class "IdtE". Value of the BIC criterion
BestModel:: Inherited from class "IdtE". Bestmodel indicates the best model according to the chosen selection criterion
SngD:: Inherited from class "IdtE". Boolean flag indicating whether a single or a mixture of distribution were estimated. Always set to TRUE in objects of class "IdtSngNDE"

Extends

Class "", directly. Class "", by class "IdtSngDE", distance 2.

Methods

No methods defined with class "IdtSngNDE" in the signature.

References

Azzalini, A. and Dalla Valle, A. (1996), The multivariate skew-normal distribution. Biometrika 83(4), 715--726.