IdtMxNandSNDE contains the results of a mixture model estimation; Normal an Skew-Normal models are considered, with the four different possible variance-covariance configurations.
NMod:Estimates of the mixture model for the Gaussian case
SNMod:Estimates of the mixture model for the Skew-Normal case
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 IdtMxNandSNDE
Ngrps:Inherited from class IdtMxE. Number of mixture components
Class IdtMxE, directly.
Class IdtE, by class IdtMxE, distance 2.
No methods defined with class IdtMxNandSNDE in the signature.
Pedro Duarte Silva <psilva@porto.ucp.pt>
Paula Brito <mpbrito.fep.up.pt>
Brito, P., Duarte Silva, A. P. (2012), Modelling Interval Data with Normal and Skew-Normal Distributions. Journal of Applied Statistics 39(1), 3--20.
IdtE, IdtMxE, IdtSngNandSNDE, MANOVA, RobMxtDEst, IData