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Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2022) <doi:10.18637/jss.v103.i05>, Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) <doi:10.1080/10618600.2018.1537924>, and Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091>.
Version: | 1.0.1 |
Depends: | R (≥ 3.5.0), coda, Formula, RANN |
Imports: | methods |
Published: | 2024-09-23 |
DOI: | 10.32614/CRAN.package.spNNGP |
Author: | Andrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut] |
Maintainer: | Andrew Finley <finleya at msu.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://www.finley-lab.com/ |
NeedsCompilation: | yes |
Citation: | spNNGP citation info |
CRAN checks: | spNNGP results |
Reference manual: | spNNGP.pdf |
Package source: | spNNGP_1.0.1.tar.gz |
Windows binaries: | r-devel: spNNGP_1.0.1.zip, r-release: spNNGP_1.0.1.zip, r-oldrel: spNNGP_1.0.1.zip |
macOS binaries: | r-release (arm64): spNNGP_1.0.1.tgz, r-oldrel (arm64): spNNGP_1.0.1.tgz, r-release (x86_64): spNNGP_1.0.1.tgz, r-oldrel (x86_64): spNNGP_1.0.1.tgz |
Old sources: | spNNGP archive |
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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.