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GPvecchia: Scalable Gaussian-Process Approximations

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:

Reference manual: GPvecchia.pdf
Vignettes: GPvecchia

Downloads:

Package source: GPvecchia_0.1.7.tar.gz
Windows binaries: r-devel: GPvecchia_0.1.7.zip, r-release: GPvecchia_0.1.7.zip, r-oldrel: GPvecchia_0.1.7.zip
macOS binaries: r-release (arm64): GPvecchia_0.1.7.tgz, r-oldrel (arm64): GPvecchia_0.1.7.tgz, r-release (x86_64): GPvecchia_0.1.7.tgz, r-oldrel (x86_64): GPvecchia_0.1.7.tgz
Old sources: GPvecchia archive

Reverse dependencies:

Reverse imports: VeccTMVN

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GPvecchia 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.