Functions for fitting and doing predictions with Gaussian process models using Vecchia's (1988) approximation. Package also includes functions for reordering input locations, finding ordered nearest neighbors (with help from 'FNN' package), grouping operations, and conditional simulations. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. The original approximation is due to Vecchia (1988) <http://www.jstor.org/stable/2345768>, and the reordering and grouping methods are from Guinness (2018) <doi:10.1080/00401706.2018.1437476>. Model fitting employs a Fisher scoring algorithm described in Guinness (2019) <doi:10.48550/arXiv.1905.08374>.
Version: 0.5.1 Depends: R (≥ 2.10) Imports: Rcpp (≥ 0.12.13), FNN LinkingTo: Rcpp, RcppArmadillo, BH Suggests: fields, knitr, rmarkdown, testthat, maps Published: 2024-10-16 DOI: 10.32614/CRAN.package.GpGp Author: Joseph Guinness [aut, cre], Matthias Katzfuss [aut], Youssef Fahmy [aut] Maintainer: Joseph Guinness <joeguinness at gmail.com> License: MIT + file LICENSE NeedsCompilation: yes Materials: README NEWS CRAN checks: GpGp results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=GpGp to link to this page.
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