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GpGp

Fast Gaussian Process Computation Using Vecchia's Approximation

v1.0.0 · Dec 17, 2025 · MIT + file LICENSE

Description

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>.

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NOTE r-oldrel-macos-arm64

installed package size

  installed size is  7.7Mb
  sub-directories of 1Mb or more:
    data   1.4Mb
    libs   6.0Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  7.9Mb
  sub-directories of 1Mb or more:
    data   1.4Mb
    libs   6.1Mb
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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  7.7Mb
  sub-directories of 1Mb or more:
    data   1.4Mb
    libs   6.0Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  7.9Mb
  sub-directories of 1Mb or more:
    data   1.4Mb
    libs   6.1Mb

Reverse Dependencies (7)

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Dependency Network

Dependencies Reverse dependencies Rcpp FNN GPvecchia VeccTMVN bhetGP deepgp ferrn nntmvn SeBR GpGp

Version History

new 1.0.0 Mar 9, 2026