IdtMxNDE-class {MAINT.Data}

Class IdtMxNDE

Description

IdtMxNDE contains the results of a mixture Normal model maximum likelihood parameter estimation, with the four different possible variance-covariance configurations.

Slots

Hmcdt:

Indicates whether we consider an homocedastic (TRUE) or a hetereocedasic model (FALSE)

mleNmuE:

Matrix with the maximum likelihood mean vectors estimates by group (each row refers to a group)

mleNmuEse:

Matrix with the maximum likelihood means' standard errors by group (each row refers to a group)

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 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 IdtMxNDE class

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 IdtMxNDE

Ngrps:

Inherited from class IdtMxE. Number of mixture components

Extends

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

Methods

lda

signature(x = "IdtMxtNDE"): Linear Discriminant Analysis using the estimated model parameters.

qda

signature(x = "IdtMxtNDE"): Quadratic Discriminant Analysis using the estimated model parameters.

Author(s)

Pedro Duarte Silva <[e-mail]>
Paula Brito <mpbrito.fep.up.pt>

References

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

See Also

IdtE, IdtMxE, IdtMxNDRE, IdtSngNDE, IData, MANOVA