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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, 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 ORCID iD [aut, cre], Matt Higham ORCID iD [aut], Ryan A. Hill ORCID iD [ctb], Michael Mahon ORCID iD [ctb], Jay M. Ver Hoef ORCID iD [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 Introduction to spmodel (source, R code)

Downloads:

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 dependencies:

Reverse imports: SSN2

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spmodel to link to this page.

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.