Class "IdtMxE"

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Description

IdtMxE contains the results of a mixture model estimation.

Slots

grouping:

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 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 FALSE in objects of class "IdtMxE"

Ngrps:

Number of mixture components

Extends

Class "IdtE", directly.

Methods

No methods defined with class "IdtMxE" 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.

See Also

IdtE, IData, MANOVA, RobMxtDEst

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