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>.

Getting started

Package details

AuthorAndrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut], Alexander Mckim [ctb]
MaintainerAndrew Finley <[email protected]>
LicenseGPL (>= 2)
Version0.1.1
URL http://blue.for.msu.edu/software.html
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("spNNGP")

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spNNGP documentation built on July 22, 2017, 1:03 a.m.