| SpatParam-class {HBSTM} | R Documentation |
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