The goal of SpatialNLS is to provide users with convenient functions to estimate statial lag and spatial error models with continuous and binary outcomes using a non-linear least squares framework. This is achieved through approximation of the spatial dependence implied by the model. Utilizing non-linear least squares to estimate spatial models provides a significant speed advantage in terms of compute time relative to more numerically complex maximum likelihood or Bayesian techniques.
You can install the released version of SpatialNLS from GitHub with:
devtools::github_install("loganstundal/SpatialNLS")