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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 |
Reference manual: | geostatsp.pdf |
Vignettes: |
Various GLGM examples LGCP with PC priors |
Package source: | geostatsp_2.0.6.tar.gz |
Windows binaries: | r-devel: geostatsp_2.0.6.zip, r-release: geostatsp_2.0.6.zip, r-oldrel: geostatsp_2.0.6.zip |
macOS binaries: | r-release (arm64): geostatsp_2.0.6.tgz, r-oldrel (arm64): geostatsp_2.0.6.tgz, r-release (x86_64): geostatsp_2.0.6.tgz, r-oldrel (x86_64): geostatsp_2.0.6.tgz |
Old sources: | geostatsp archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.