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snapKrig: Fast Kriging and Geostatistics on Grids with Kronecker
Covariance
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 |
| 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 |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=snapKrig
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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.
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