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 | 
| 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 | 
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