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>.

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Package details

AuthorAndrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut], Alexander Mckim [ctb]
MaintainerAndrew Finley <[email protected]>
LicenseGPL (>= 2)
URL http://blue.for.msu.edu/software.html
Package repositoryView on CRAN
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spNNGP documentation built on July 22, 2017, 1:03 a.m.