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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: | 1.0.0 |
| Depends: | R (≥ 3.5.0), coda, Formula, RANN |
| Imports: | methods |
| Published: | 2022-06-27 |
| 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_1.0.0.tar.gz |
| Windows binaries: | r-devel: spNNGP_1.0.0.zip, r-release: spNNGP_1.0.0.zip, r-oldrel: spNNGP_1.0.0.zip |
| macOS binaries: | r-release (arm64): spNNGP_1.0.0.tgz, r-oldrel (arm64): spNNGP_1.0.0.tgz, r-release (x86_64): spNNGP_1.0.0.tgz, r-oldrel (x86_64): spNNGP_1.0.0.tgz |
| Old sources: | spNNGP archive |
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These binaries (installable software) and packages are in development.
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