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Geostatistical modeling and kriging with gridded data using spatially separable covariance functions (Kronecker covariances). Kronecker products in these models provide shortcuts for solving large matrix problems in likelihood and conditional mean, making 'snapKrig' computationally efficient with large grids. The package supplies its own S3 grid object class, and a host of methods including plot, print, Ops, square bracket replace/assign, and more. Our computational methods are described in Koch, Lele, Lewis (2020) <doi:10.7939/r3-g6qb-bq70>.
Version: | 0.0.2 |
Imports: | graphics, grDevices, methods, stats, utils |
Suggests: | knitr, rmarkdown, terra, raster, sf, units, sp |
Published: | 2023-05-06 |
DOI: | 10.32614/CRAN.package.snapKrig |
Author: | Dean Koch [aut, cre, cph] |
Maintainer: | Dean Koch <dkoch at ualberta.ca> |
BugReports: | https://github.com/deankoch/snapKrig/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/deankoch/snapKrig |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | snapKrig results |
Reference manual: | snapKrig.pdf |
Vignettes: |
Introduction to snapKrig |
Package source: | snapKrig_0.0.2.tar.gz |
Windows binaries: | r-devel: snapKrig_0.0.2.zip, r-release: snapKrig_0.0.2.zip, r-oldrel: snapKrig_0.0.2.zip |
macOS binaries: | r-release (arm64): snapKrig_0.0.2.tgz, r-oldrel (arm64): snapKrig_0.0.2.tgz, r-release (x86_64): snapKrig_0.0.2.tgz, r-oldrel (x86_64): snapKrig_0.0.2.tgz |
Old sources: | snapKrig 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.