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, 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: 0.1.2
Depends: R (≥ 3.5.0), coda, Formula, RANN
Published: 2019-09-03
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://blue.for.msu.edu/software.html
NeedsCompilation: yes
CRAN checks: spNNGP results


Reference manual: spNNGP.pdf
Package source: spNNGP_0.1.2.tar.gz
Windows binaries: r-devel: spNNGP_0.1.2.zip, r-devel-gcc8: spNNGP_0.1.2.zip, r-release: spNNGP_0.1.2.zip, r-oldrel: spNNGP_0.1.2.zip
OS X binaries: r-release: spNNGP_0.1.2.tgz, r-oldrel: spNNGP_0.1.2.tgz
Old sources: spNNGP archive


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