spNNGP: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes

Fits Gaussian univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, Cook, Morton, Andersen, and Banerjee (2017) <arXiv:1702.00434v2>.

Version: 0.1.1
Depends: R (≥ 2.10), coda, Formula, RANN
Published: 2017-07-21
Author: Andrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut], Alexander Mckim [ctb]
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

Downloads:

Reference manual: spNNGP.pdf
Package source: spNNGP_0.1.1.tar.gz
Windows binaries: r-devel: spNNGP_0.1.1.zip, r-release: spNNGP_0.1.1.zip, r-oldrel: spNNGP_0.1.1.zip
OS X El Capitan binaries: r-release: spNNGP_0.1.1.tgz
OS X Mavericks binaries: r-oldrel: spNNGP_0.1.1.tgz
Old sources: spNNGP archive

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