Fast scalable Gaussian process approximations, particularly well suited to spatial (aerial, remote-sensed) and environmental data, described in more detail in Katzfuss and Guinness (2017) <doi:10.48550/arXiv.1708.06302>. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) <doi:10.48550/arXiv.1706.02205> and MaxMin ordering proposed in Guinness (2018) <doi:10.48550/arXiv.1609.05372>.
Version: 0.1.7 Imports: Rcpp (≥ 1.0.9), methods, stats, sparseinv, fields, Matrix (≥ 1.5.1), parallel, GpGp, FNN LinkingTo: Rcpp, RcppArmadillo, BH Suggests: mvtnorm, knitr, rmarkdown, testthat Published: 2024-03-12 DOI: 10.32614/CRAN.package.GPvecchia Author: Matthias Katzfuss [aut], Marcin Jurek [aut, cre], Daniel Zilber [aut], Wenlong Gong [aut], Joe Guinness [ctb], Jingjie Zhang [ctb], Florian Schaefer [ctb] Maintainer: Marcin Jurek <marcinjurek1988 at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Materials: README NEWS CRAN checks: GPvecchia results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=GPvecchia to link to this page.
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