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: 0.1.4
Depends: R (≥ 3.5.0), coda, Formula, RANN
Published: 2020-03-30
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: http://www.finley-lab.com
NeedsCompilation: yes
CRAN checks: spNNGP results

Downloads:

Reference manual: spNNGP.pdf
Package source: spNNGP_0.1.4.tar.gz
Windows binaries: r-devel: spNNGP_0.1.4.zip, r-release: spNNGP_0.1.4.zip, r-oldrel: spNNGP_0.1.4.zip
macOS binaries: r-release: spNNGP_0.1.4.tgz, r-oldrel: spNNGP_0.1.4.tgz
Old sources: spNNGP archive

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