Xt-class: Class '"Xt"'

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

Class "Xt"

Description

"Xt" contains the parameter values of the autoregressive part and is an internal class stored in "Parameters".

Slots

Xt:

A "matrix" of dimension SxT (S = predicted spatial points and T = temporal points) containing the fitted values of the parameter Xt.

X0:

An Sx1 "matrix" containing the auxiliary parameter X0.

sigma2N:

Contains the fitted value of the variance sigmaN.

AR:

A "list" of objects of class Autoregressive, one for each temporal lag of the model.

templags:

A "vector" containing the temporal lags of the model.

Methods

[

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

[<-

signature(x = "Xt", 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,Parameters,Mu,Mt,Xt,Autoregressive,Seas,SpatParam,VectSubdiag, Hyperpriors,Mu0,Mt0,Xt0,Seas0,Autoregressive0,SpatParam0,VectSubdiag0
Methods : hbstm,hbstm.fit,results,estimation,resid
Plot : plotRes

HBSTM documentation built on May 28, 2022, 5:05 p.m.