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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
Browse package contents
Package details |
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| Author | Daisuke Murakami <dmuraka@ism.ac.jp> |
| Maintainer | Daisuke Murakami <dmuraka@ism.ac.jp> |
| License | GPL (>= 2) |
| Version | 0.2.3 |
| Package repository | View on CRAN |
| Installation |
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