summary_SAR: Custom Summary Function for SARARgamlss and GEESAR Models

In spatemR: Generalized Spatial Autoregresive Models for Mean and Variance

Custom Summary Function for SARARgamlss and GEESAR Models

Description

This function generates a summary for objects of class 'SARARgamlss' or 'GEESAR'. It combines the summary outputs for both models, including GAMLSS model details, spatial parameters (rho and lambda), and Wald tests.

Usage

summary_SAR(object)

Arguments

object

An object of class 'SARARgamlss' or 'GEESAR'.

Value

A list containing the summary for the specified model class.

Examples

library(spdep)
library(gamlss)
data(oldcol)
W1 <- spdep::nb2mat(COL.nb, style = "W")
W2 <- W1  # In this case, assume the same spatial weights for both
# Fit a SARARgamlss model
result_sarar <- SARARgamlss(formula = CRIME ~ INC + HOVAL, 
                            sigma.formula = ~ INC + pb(HOVAL), 
                            W1 = W1, W2 = W2, data = COL.OLD,
                            type="SAR")
summary_SAR(result_sarar)

# Example for GEESAR model
result_geesar <- GEESAR(formula = CRIME ~ INC + HOVAL, data = COL.OLD, W = W1)
summary_SAR(result_geesar)

spatemR documentation built on June 8, 2025, 1:16 p.m.