IdtMxE-class {MAINT.Data}

Class IdtMxE

Description

IdtMxE extends the IdtE class, assuming that the data can be characterized by a mixture of distributions, for instances considering partitions of entities into different groups.

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 <[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, IdtSngDE, IData, MANOVA, RobMxtDEst