Class "IdtSngNandSNDE"

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Description

IdtSngNandSNDE contains the results of a single class model estimation for the Normal and the Skew-Normal distributions, with the four different possible variance-covariance configurations.

Slots

NMod:

Estimates of the single class model for the Gaussian case

SNMod:

Estimates of the single class model for the Skew-Normal case

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 TRUE in objects of class "IdtSngNandSNDE"

Extends

Class "IdtSngDE", directly. Class "IdtE", by class "IdtSngDE", distance 2.

Methods

No methods defined with class "IdtSngNandSNDE" 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

IData, mle, fasttle, fulltle

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