IdtMxNDRE-class: Class IdtMxNDE

Description Slots Extends Methods Author(s) References See Also

Description

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

Slots

Hmcdt:

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

RobNmuE:

Matrix with the robust mean vectors estimates 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 IdtMxNDRE 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 IdtMxNDRE

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 IdtMxNDRE in the signature.

Author(s)

Pedro Duarte Silva <psilva@porto.ucp.pt>
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.

Hadi, A. S. and Luceno, A. (1997), Maximum trimmed likelihood estimators: a unified approach, examples, and algorithms. Computational Statistics and Data Analysis 25(3), 251–272.

See Also

IdtE, IdtMxE, IdtMxNDE, IdtSngNDRE, RobMxtDEst, IData


MAINT.Data documentation built on June 20, 2017, 9:01 a.m.

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