Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes R package spNNGP version 1.0.2 Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2022) <doi:10.18637/jss.v103.i05>, 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>. Software Depends: R (>= 3.5.0), coda, Formula, RANN Imports: methods Suggests: testthat (>= 3.0.0) Andrew Finley <finleya@msu.edu> Comprehensive R Archive Network (CRAN) Andrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut] GPL (>= 2) 2026-05-28 application/tgz https://CRAN.R-project.org/package=spNNGP doi:10.32614/CRAN.package.spNNGP