"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.