Autoregressive-class: Class '"Autoregressive"'

In HBSTM: Hierarchical Bayesian Space-Time Models for Gaussian Space-Time Data

Class "Autoregressive"

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 28, 2022, 5:05 p.m.