GpGp

Fast Gaussian Process Computation Using Vecchia's Approximation

CRAN Package

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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Insights

Last 30 days

This package has been downloaded 480 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
14 downloadsMar 4, 2025
44 downloadsMar 5, 2025
25 downloadsMar 6, 2025
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3 downloadsMar 9, 2025
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26 downloadsMar 11, 2025
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29 downloadsMar 15, 2025
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7 downloadsMar 22, 2025
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31 downloadsMar 28, 2025
5 downloadsMar 29, 2025
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6 downloadsMar 31, 2025
17 downloadsApr 1, 2025
7 downloadsApr 2, 2025
0 downloadsApr 3, 2025
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0 downloadsApr 5, 2025
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44

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 6,604 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Apr 15, 2024 with 82 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Imports2 packages
  • Suggests5 packages
  • Linking To3 packages
  • Reverse Imports5 packages