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Functions for estimating spatial varying coefficient models, mixed models, and other spatial regression models for Gaussian and nonGaussian 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>.
Package details 


Author  Daisuke Murakami <dmuraka@ism.ac.jp> 
Maintainer  Daisuke Murakami <dmuraka@ism.ac.jp> 
License  GPL (>= 2) 
Version  0.2.2.6 
Package repository  View on CRAN 
Installation 
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