IdtMxSNDE-class: Class IdtMxSNDE

Description

IdtMxSNDE contains the results of a mixture model estimation for the Skew-Normal model, with the four different possible variance-covariance configurations.

Arguments

Slots

Hmcdt:: Indicates whether we consider an homocedastic location model (TRUE) or a general model (FALSE)
CovConfCases:: List of the considered configurations
grouping:: Inherited from class '>IdtMxE. Factor indicating the group to which each observation belongs to
ModelNames:: Inherited from class '>IdtE. The model acronym, indicating the model type (currently, N for Normal and SN for Skew-Normal), and the configuration (Case 1 through Case 4)
ModelType:: Inherited from class '>IdtE. Indicates the model; currently, Gaussian or Skew-Normal distributions are implemented
ModelConfig:: Inherited from class '>IdtE. Configuration case 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. 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 FALSE in objects of class '>IdtMxSNDE
Ngrps:: Inherited from class '>IdtMxE. Number of mixture components

Extends

Class '>IdtMxE, directly. Class '>IdtE, by class '>IdtMxE, distance 2.

Methods

No methods defined with class IdtMxSNDE in the signature.

References

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

Brito, P., Duarte Silva, A. P. (2012), Modelling Interval Data with Normal and Skew-Normal Distributions. Journal of Applied Statistics 39(1), 3--20.