Autoregressive-class: Class '"Autoregressive"'

Description Slots Methods Author(s) See Also

Description

"Autoregressive" contains the parameter values of the autoregressive component, and it is an internal class stored in the class "Xt".

Slots

avect:

An Sx1 "matrix" (S is the number of spatial points on the predicted grid) containing the temporal autoregressive parameter avect

a0vect:

An Sx1 "matrix" containing the temporal autoregressive parameter a0vect

a0L:

A 3x1 "matrix" containing the temporal autoregressive parameter a0L

spatialA:

An object of class "SpatParam" containing the fitted values of the spatial parameters of avect.

sigma2A:

Contains the fitted value of the variance sigma2A.

H:

An SxS "matrix" containing all the autoregressive space-time parameters.

subdiag:

An object of class "VectSubdiag" containing the fitted values of the space-time parameters.

Methods

[

signature(x = "Autoregressive", i = "character", j = "missing", drop = "missing"): extract the components of the model.

[<-

signature(x = "Autoregressive", i = "character", j = "missing"): assign values to the components of the model.

Author(s)

Pilar Munyoz and Alberto Lopez Moreno

See Also

Overview: HBSTM-package
Classes : HBSTM,Parameters,Mu,Mt,Xt,Autoregressive,Seas,SpatParam,VectSubdiag, Hyperpriors,Mu0,Mt0,Xt0,Seas0,Autoregressive0,SpatParam0,VectSubdiag0
Methods : hbstm,hbstm.fit,results,estimation,resid,mse
Plot : plotRes,plotFit
Data: hirlam,coordinates


HBSTM documentation built on May 30, 2017, 7:19 a.m.

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