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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, non-spatial 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. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.
Version: | 0.9.0 |
Depends: | R (≥ 3.5.0) |
Imports: | graphics, generics, Matrix, sf, stats, tibble, parallel |
Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0), ggplot2, ranger, statmod, pROC, emmeans (≥ 1.4), estimability |
Published: | 2024-11-06 |
DOI: | 10.32614/CRAN.package.spmodel |
Author: | Michael Dumelle [aut, cre], Matt Higham [aut], Ryan A. Hill [ctb], Michael Mahon [ctb], 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 |
Reference manual: | spmodel.pdf |
Vignettes: |
An Introduction to spmodel (source, R code) |
Package source: | spmodel_0.9.0.tar.gz |
Windows binaries: | r-devel: spmodel_0.9.0.zip, r-release: spmodel_0.9.0.zip, r-oldrel: spmodel_0.9.0.zip |
macOS binaries: | r-release (arm64): spmodel_0.9.0.tgz, r-oldrel (arm64): spmodel_0.9.0.tgz, r-release (x86_64): spmodel_0.9.0.tgz, r-oldrel (x86_64): spmodel_0.9.0.tgz |
Old sources: | spmodel archive |
Reverse imports: | SSN2 |
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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.