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arXiv · 2001.09111

spNNGP R package for Nearest Neighbor Gaussian Process models

Andrew O. Finley·Abhirup Datta·Sudipto Banerjee
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Abstract

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 point-referenced 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 Polya-Gamma latent variable. OpenMP parallelization options are provided to take advantage of multiprocessor systems. Package features are illustrated using simulated and real data sets.

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Andrew O. Finley, Abhirup Datta, Sudipto Banerjee. 2020-01-24. spNNGP R package for Nearest Neighbor Gaussian Process models. https://arxiv.org/abs/2001.09111

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