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>.

Getting started

Package details

AuthorAndrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut]
MaintainerAndrew Finley <finleya@msu.edu>
LicenseGPL (>= 2)
Version0.1.5
URL https://www.finley-lab.com/
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 Feb. 17, 2021, 5:08 p.m.