Class "SpatParam"
"SpatParam"
contains the values of the spatial parameters and is an internal class stored in the classes "Mu"
and "Autorregressive"
.
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.
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.
Pilar Munyoz and Alberto Lopez Moreno
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
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