spNNGP: Spatial Regression Models for Large Datasets using Nearest
Neighbor Gaussian Processes
Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2020) <arXiv:2001.09111>, and 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: |
0.1.7 |
Depends: |
R (≥ 3.5.0), coda, Formula, RANN |
Imports: |
methods |
Published: |
2022-03-17 |
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 |
CRAN checks: |
spNNGP results |
Documentation:
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