The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Please use the canonical form https://CRAN.R-project.org/package=GpGp to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.