geostatsp: Geostatistical Modelling with Likelihood and Bayes (original) (raw)
Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector' objects are provided. Non-Gaussian models are fit using 'INLA', and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>. The 'RandomFields' package is available at <https://www.wim.uni-mannheim.de/schlather/publications/software>.
| Version: | 2.0.6 |
|---|---|
| Depends: | Matrix, terra, R (≥ 3.5.0) |
| Imports: | abind, numDeriv, methods, stats |
| LinkingTo: | Matrix (≥ 1.6-2) |
| Suggests: | RandomFields, parallel, mapmisc, ellipse, pracma, knitr |
| Enhances: | INLA, diseasemapping, geoR, mvtnorm |
| Published: | 2024-02-20 |
| DOI: | 10.32614/CRAN.package.geostatsp |
| Author: | Patrick Brown [aut, cre, cph] |
| Maintainer: | Patrick Brown <patrick.brown at utoronto.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| Additional_repositories: | https://inla.r-inla-download.org/R/testing |
| Citation: | geostatsp citation info |
| CRAN checks: | geostatsp results |
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