Class "Goestml": GO-GARCH models estimated by Maximum-Likelihood
This class contains the GoGARCH
class and has the outcome of nlminb
as an additional slot.
class
latin1
Objects can be created by calls of the form new("Goestml", ...)
, or with the function gogarch
whereby method = "ml"
has been set.
opt
:: Object of class "list"
: List returned by nlminb
.Z
:: Object of class "matrix"
: Transformation matrix.U
:: Object of class "matrix"
: Orthogonal matrix.Y
:: Object of class "matrix"
: Extracted component matrix.H
:: Object of class "list"
: List of conditional variance/covariance matrices.models
:: Object of class "list"
: List of univariate GARCH model fits.estby
:: Object of class "character"
: Estimation method.X
:: Object of class "matrix"
: The data matrix.V
:: Object of class "matrix"
: Covariance matrix of X
.P
:: Object of class "matrix"
: Left singular values of Var/Cov matrix of X
.Dsqr
:: Object of class "matrix"
: Square roots of eigenvalues on diagonal, else zero.garchf
:: Object of class "formula"
: Garch formula used for uncorrelated component GARCH models.name
:: Object of class "character"
: The name of the original data object.Class "GoGARCH"
, directly. Class "Goinit"
, by class "GoGARCH", distance 2.
"mts" "ts"
."mts" "ts"
."mts" "ts"
.Gopredict
."mts" "ts"
."mts" "ts"
.Goestml
.Goestml
, object is of class Gosum
.Goestml
.Bernhard Pfaff
GoGARCH
, Goinit
, Gosum
, Gopredict
, goest-methods
Useful links