spmoran: Fast Spatial Regression using Moran Eigenvectors

Functions for estimating spatial varying coefficient models, mixed models, and other spatial regression models for Gaussian and non-Gaussian data. Moran eigenvectors are used to an approximate Gaussian process modeling which is interpretable in terms of the Moran coefficient. The GP is used for modeling the spatial processes in residuals and regression coefficients. For details see Murakami (2021) <arXiv:1703.04467>.

Getting started

Package details

AuthorDaisuke Murakami <dmuraka@ism.ac.jp>
MaintainerDaisuke Murakami <dmuraka@ism.ac.jp>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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spmoran documentation built on Sept. 5, 2022, 9:07 a.m.