IdtE-class: Class IdtE

Description Slots Methods Author(s) References See Also

Description

IdtE contains estimation results for the models assumed for single distributions, or mixtures of distributions, underlying data sets of interval-valued entities.

Slots

ModelNames:

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:

Indicates the model; currently, Gaussian or Skew-Normal distributions are implemented

ModelConfig:

Configuration of the variance-covariance matrix: Case 1 through Case 4

NIVar:

Number of interval variables

SelCrit:

The model selection criterion; currently, AIC and BIC are implemented

logLiks:

The logarithms of the likelihood function for the different cases

AICs:

Value of the AIC criterion

BICs:

Value of the BIC criterion

BestModel:

Bestmodel indicates the best model according to the chosen selection criterion

SngD:

Boolean flag indicating whether a single or a mixture of distribution were estimated

Methods

BestModel

signature(Idt = "IdtE"): Selects the best model according to the chosen selection criterion (currently, AIC or BIC)

show

signature(object = "IdtE"): show S4 method for the IDtE-class

summary

signature(object = "IdtE"): summary S4 method for the IDtE-class

testMod

signature(Idt = "IdtE"): Performs statistical likelihood-ratio tests that evaluate the goodness-of-fit of a nested model against a more general one.

sd

signature(Idt = "IdtE"): extracts the standard deviation estimates from objects of class IdtE.

AIC

signature(Idt = "IdtE"): extracts the value of the Akaike Information Criterion from objects of class IdtE.

BIC

signature(Idt = "IdtE"): extracts the value of the Bayesian Information Criterion from objects of class IdtE.

logLik

signature(Idt = "IdtE"): extracts the value of the maximised log-likelihood from objects of class IdtE.

mean

signature(x = "IdtE"): extracts the mean vector estimate from objects of class IdtE

var

signature(x = "IdtE"): extracts the variance-covariance matrix estimate from objects of class IdtE

cor

signature(x = "IdtE"): extracts the correlation matrix estimate from objects of class IdtE

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

mle, fasttle, fulltle, MANOVA, RobMxtDEst, IData


MAINT.Data documentation built on Sept. 21, 2021, 5:11 p.m.