In gregmacfarlane/sppois: Spatial Autoregressive Poisson Modeling

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(sppois)
library(modelsummary)

Data

Non-Spatial

This package contains its own routine for non-spatial Poisson modeling by maximum likelihood. These outputs are effectively identical to the results returned by glm

nonspatial <- list(
  "sppois" = sarpoisson(crime_i ~ income + home_value, data = columbus_crime,
                        listw = columbus_neighbors, method = "non-spatial") ,
  "glm" = glm(crime_i ~ income + home_value, data = columbus_crime, 
              family = "poisson")
)

modelsummary(nonspatial, fmt = "%.6f")