Nothing
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>.
Package details |
|
---|---|
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 |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.