A collection of functions for estimating spatial and spatio-temporal regression models. Moran eigenvectors are used as spatial basis functions to efficiently approximate spatially dependent Gaussian processes (i.e., random effects eigenvector spatial filtering; see Murakami and Griffith 2015 <doi:10.1007/s10109-015-0213-7>). The implemented models include linear regression with residual spatial dependence, spatially/spatio-temporally varying coefficient models (Murakami et al., 2017, 2024; <doi:10.1016/j.spasta.2016.12.001>,<doi:10.48550/arXiv.2410.07229>), spatially filtered unconditional quantile regression (Murakami and Seya, 2019 <doi:10.1002/env.2556>), Gaussian and non-Gaussian spatial mixed models through compositionally-warping (Murakami et al. 2021, <doi:10.1016/j.spasta.2021.100520>).
| Version: | 0.3.3 |
| Imports: | sf,fields,vegan,Matrix,doParallel,foreach,ggplot2,spdep,rARPACK,RColorBrewer, splines,FNN, methods |
| Suggests: | R.rsp,spData (≥ 2.3.1) |
| Published: | 2024-12-05 |
| DOI: | 10.32614/CRAN.package.spmoran |
| Author: | Daisuke Murakami [aut, cre] |
| Maintainer: | Daisuke Murakami <dmuraka at ism.ac.jp> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/dmuraka/spmoran |
| NeedsCompilation: | no |
| In views: | Spatial |
| CRAN checks: | spmoran results |
| Package source: | spmoran_0.3.3.tar.gz |
| Windows binaries: | r-devel:spmoran_0.3.3.zip, r-release:spmoran_0.3.3.zip, r-oldrel:spmoran_0.3.3.zip |
| macOS binaries: | r-release (arm64):spmoran_0.3.3.tgz, r-oldrel (arm64):spmoran_0.3.3.tgz, r-release (x86_64):spmoran_0.3.3.tgz, r-oldrel (x86_64):spmoran_0.3.3.tgz |
| Old sources: | spmoran archive |
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