IdtE-class {MAINT.Data} | R Documentation |
Class IdtE
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(Sdt = "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(Sdt = "IdtE")
: Performs statistical likelihood-ratio tests that evaluate the goodness-of-fit of a nested model against a more general one.- sd
signature(Sdt = "IdtE")
: extracts the standard deviation estimates from objects of class IdtE.- AIC
signature(Sdt = "IdtE")
: extracts the value of the Akaike Information Criterion from objects of class IdtE.- BIC
signature(Sdt = "IdtE")
: extracts the value of the Bayesian Information Criterion from objects of class IdtE.- logLik
signature(Sdt = "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