mGASFit-class function

Class for the Multivariate GAS fitted object

Class for the Multivariate GAS fitted object

Class for the multivariate GAS fitted object. 0.1

class

Objects from the Class

A virtual Class: No objects may be created from it.

Slots

  • Data:: Object of class list. Contains the user's data.

  • Estimates:: Object of class list. Contains: lParList list of estimated parameters, optimiser object delivered from the optimization function, StaticFit ML estimates for the constant model, Inference inferential results for the estimated parameters.

  • GASDyn:: Object of class list. Contains: the series of filtered dynamic (GASDyn$mTheta) for the time--varying parameters, the series of scaled scores (GASDyn$mInnovation), the series of unrestricted filtered parameters (GASDyn$mTheta_tilde), the series of log densities (GASDyn$vLLK), the log likelihood evaluated at its optimum value (GASDyn$dLLK)

  • ModelInfo:: Object of class list. Contains information about the GAS specification:

      * `Spec` Object of the class uGASSpec containing the GAS specification.
      * `iT` `numeric` Number of observation.
      * `elapsedTime` `Numeric` elapsed time in seconds.
    

Methods

  • show signature(object = 'mGASFit'): print object information.
  • summary signature(object = 'mGASFit'): Show summary.
  • plot signature(x='mGASFit', y='missing'): Plot filtered dynamic and other estimated quantities.
  • getFilteredParameters signature(object = "mGASFit"): Extract filtered parameters.
  • getObs signature(object = "mGASFit"): Extract original observations.
  • coef signature(object = 'uGASFit'): Returns a named vector of estimated coefficients. Also accepts the additional logical argument do.list. If do.list = TRUE, estimated coefficients are organized in a list with arguments: vKappa the intercept vector, mA the A system matrix, mB the B system matrix. By default, do.list = FALSE.
  • getMoments signature(object = "mGASFit"): Extract conditional moments.
  • residuals signature(object = 'mGASFit'): Extract the residuals. Also accepts the additional logical argument standardize. If standardize = TRUE, residuals are standardized by cholesky of the filtered covariance matrix. By default standardize = FALSE.
  • convergence signature(object = 'mGASFit'): Extract convergence information.

Author(s)

Leopoldo Catania

  • Maintainer: Leopoldo Catania
  • License: GPL-3
  • Last published: 2024-08-19