Package: spmoran
Type: Package
Title: Fast Spatial Regression using Moran Eigenvectors
Version: 0.2.3
Date: 2024-01-23
Author: Daisuke Murakami <dmuraka@ism.ac.jp>
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>
Description: 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>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: sf, fields, vegan, Matrix, doParallel, foreach, ggplot2,
        spdep, rARPACK, RColorBrewer, splines, FNN, methods
Suggests: R.rsp,
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2024-01-23 17:11:58 UTC; dmura
Repository: CRAN
Date/Publication: 2024-01-23 17:40:02 UTC
Built: R 4.2.3; ; 2024-01-23 19:36:20 UTC; unix
