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cff-version: 1.2.0
message: 'To cite package "GpGp" in publications use:'
type: software
license: MIT
title: 'GpGp: Fast Gaussian Process Computation Using Vecchia''s Approximation'
version: 0.5.1
doi: 10.32614/CRAN.package.GpGp
abstract: 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) <https://doi.org/10.1080/00401706.2018.1437476>.
  Model fitting employs a Fisher scoring algorithm described in Guinness (2019) <https://doi.org/10.48550/arXiv.1905.08374>.
authors:
- family-names: Guinness
  given-names: Joseph
  email: joeguinness@gmail.com
- family-names: Katzfuss
  given-names: Matthias
  email: katzfuss@gmail.com
- family-names: Fahmy
  given-names: Youssef
  email: yf297@cornell.edu
repository: https://CRAN.R-project.org/package=GpGp
date-released: '2024-10-15'
contact:
- family-names: Guinness
  given-names: Joseph
  email: joeguinness@gmail.com