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 spatial Gaussian processes. These processes are 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 May 29, 2024, 5:30 a.m.