SpatParam-class: Class '"SpatParam"'

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

Class "SpatParam"

Description

"SpatParam" contains the values of the spatial parameters and is an internal class stored in the classes "Mu" and "Autorregressive".

Slots

alpha:

A "vector" of length: the number of horizontal (east-west) spatial lags. It contains the fitted values of the horizontal spatial parameters.

beta:

A "vector" of length: the number of vertical (north-south) spatial lags. It contains the fitted values of the vertical spatial parameters.

phi:

A "vector" of length: the number of diagonal (southeast-northwest) spatial lags. It contains the fitted values of the diagonal spatial parameters.

theta:

A "vector" of length: the number of inverse-diagonal (southwest-northeast) spatial lags. It contains the fitted values of the inverse-diagonal spatial parameters.

Cmat:

An SxS "matrix" (S is the number of spatial points of the predicted grid) containing all the spatial parameters.

lags:

A "vector" containing the spatial lags for each direction. Each position of the vector is related to the lags of alpha, beta, phi and theta, respectively.

dirs:

A "vector" containing the considered spatial directions of the model.

Methods

[

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

[<-

signature(x = "SpatParam", 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.