spNNGP R Package for Nearest Neighbor Gaussian Process Models

spNNGP R Package for Nearest Neighbor Gaussian Process Models

: MCMC, nearest neighbor Gaussian process, kriging, R

This paper describes and illustrates functionality of the spNNGP R package. The
package provides a suite of spatial regression models for Gaussian and non-Gaussian pointreferenced outcomes that are spatially indexed. The package implements several Markov
chain Monte Carlo (MCMC) and MCMC-free nearest neighbor Gaussian process (NNGP)
models for inference about large spatial data. Non-Gaussian outcomes are modeled using
a NNGP Pólya-Gamma latent variable. OpenMP parallelization options are provided to
take advantage of multiprocessor systems. Package features are illustrated using simulated
and real data sets

Andrew O. Finley

https://www.jstatsoft.org/article/view/v103i05

Michigan State University

July 2022

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