spNNGP: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes (original) (raw)
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 |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=spNNGPto link to this page.