IdtSngNandSNDE-class | R Documentation |
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.
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
Class IdtSngDE
, directly.
Class IdtE
, by class IdtSngDE
, distance 2.
No methods defined with class IdtSngNandSNDE in the signature.
Pedro Duarte Silva <psilva@porto.ucp.pt>
Paula Brito <mpbrito.fep.up.pt>
Brito, P., Duarte Silva, A. P. (2012), Modelling Interval Data with Normal and Skew-Normal Distributions. Journal of Applied Statistics 39(1), 3–20.
IData
, IdtMxNandSNDE
, mle
, fasttle
, fulltle
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