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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 |
| Reference manual: | GpGp.pdf |
| Package source: | GpGp_0.5.1.tar.gz |
| Windows binaries: | r-devel: GpGp_0.5.1.zip, r-release: GpGp_0.5.1.zip, r-oldrel: GpGp_0.5.1.zip |
| macOS binaries: | r-release (arm64): GpGp_0.5.1.tgz, r-oldrel (arm64): GpGp_0.5.1.tgz, r-release (x86_64): GpGp_0.5.1.tgz, r-oldrel (x86_64): GpGp_0.5.1.tgz |
| Old sources: | GpGp archive |
| Reverse imports: | deepgp, ferrn, GPvecchia, nntmvn, SeBR, VeccTMVN |
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These binaries (installable software) and packages are in development.
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