IdtSngNDE-class {MAINT.Data} | R Documentation |
Class IdtSngNDE
Description
Contains the results of a single class maximum likelihood estimation for the Normal distribution, with the four different possible variance-covariance configurations.
Slots
mleNmuE
:Vector with the maximum likelihood mean vectors estimates
mleNmuEse
:Vector with the maximum likelihood means' standard errors
CovConfCases
:List of the considered configurations
ModelNames
:Inherited from class
IdtE
. The model acronym formed by a "N", indicating a Normal model, followed by the configuration (Case 1 through Case 4)ModelType
:Inherited from class
IdtE
. Indicates the model; always set to "Normal" in objects of the IdtSngNDE classModelConfig
:Inherited from class
IdtE
. Configuration of the variance-covariance matrix: Case 1 through Case 4NIVar
:Inherited from class
IdtE
. Number of interval variablesSelCrit
:Inherited from class
IdtE
. The model selection criterion; currently, AIC and BIC are implementedlogLiks
:Inherited from class
IdtE
. The logarithms of the likelihood function for the different casesAICs
:Inherited from class
IdtE
. Value of the AIC criterionBICs
:Inherited from class
IdtE
. Value of the BIC criterionBestModel
:Inherited from class
IdtE
. Bestmodel indicates the best model according to the chosen selection criterionSngD
: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 IdtSngNDE
Extends
Class IdtSngDE
, directly.
Class IdtE
, by class IdtSngDE
, distance 2.
Methods
No methods defined with class IdtSngNDE 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
, IdtSngNDRE
, IdtSngSNDE
, IdtMxNDE