spmodel: Spatial Statistical Modeling and Prediction
Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | graphics, generics, Matrix, sf, stats, tibble, parallel |
| Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0), ggplot2, ranger |
| Published: | 2022-11-11 |
| Author: | Michael Dumelle 
[aut, cre],
Matt Higham [aut],
Jay M. Ver Hoef [aut] |
| Maintainer: | Michael Dumelle <Dumelle.Michael at epa.gov> |
| BugReports: | https://github.com/USEPA/spmodel/issues |
| License: | GPL-3 |
| URL: | https://usepa.github.io/spmodel/ |
| NeedsCompilation: | no |
| Citation: | spmodel citation info |
| Materials: | README NEWS |
| In views: | Spatial |
| CRAN checks: | spmodel results |
Documentation:
| Reference manual: | spmodel.pdf |
| Vignettes: |
An Overview of Basic Features in spmodel A Detailed Guide to spmodel Technical Details |
Downloads:
| Package source: | spmodel_0.2.0.tar.gz |
| Windows binaries: | r-devel: spmodel_0.2.0.zip, r-release: spmodel_0.2.0.zip, r-oldrel: spmodel_0.2.0.zip |
| macOS binaries: | r-release (arm64): spmodel_0.2.0.tgz, r-oldrel (arm64): spmodel_0.2.0.tgz, r-release (x86_64): spmodel_0.2.0.tgz, r-oldrel (x86_64): spmodel_0.2.0.tgz |
| Old sources: | spmodel archive |
Linking:
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