Package: GPvecchia
Type: Package
Title: Scalable Gaussian-Process Approximations
Version: 0.1.0
Date: 2019-09-25
Author: Matthias Katzfuss, Marcin Jurek, Daniel Zilber, Wenlong Gong, Joe Guinness, Jingjie Zhang
Maintainer: Matthias Katzfuss <katzfuss@gmail.com>
Description: 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) <arXiv:1708.06302>. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) <arXiv:1706.02205> and MaxMin ordering proposed in Guinness (2018) <arXiv:1609.05372>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.16), methods, stats, sparseinv, fields,
        Matrix(>= 1.2.14), parallel, GpGp, FNN
LinkingTo: Rcpp, RcppArmadillo, BH
RoxygenNote: 6.1.1
Suggests: mvtnorm, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-09-26 14:46:20 UTC; marcin
Repository: CRAN
Date/Publication: 2019-10-02 09:50:02 UTC
