Package: GpGp
Type: Package
Title: Fast Gaussian Process Computation Using Vecchia's Approximation
Version: 0.1.0
Date: 2018-02-18
Authors@R: c(
    person("Joseph", "Guinness", email = "joeguinness@gmail.com", role = c("aut", "cre")),
    person("Matthias", "Katzfuss", email = "katzfuss@gmail.com", role = "aut" ) )
Maintainer: Joseph Guinness <joeguinness@gmail.com>
Description: Functions for reordering
    input locations, finding ordered nearest neighbors
    (with help from 'FNN' package), grouping operations, 
    approximate likelihood evaluations, profile likelihoods,
    Gaussian process predictions, 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>.
Depends: R (>= 2.10)
License: MIT + file LICENSE
Imports: Rcpp (>= 0.12.13), FNN
Suggests: fields, knitr, rmarkdown, testthat
LinkingTo: Rcpp
RoxygenNote: 6.0.1
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2018-02-18 21:48:51 UTC; guinness
Author: Joseph Guinness [aut, cre],
  Matthias Katzfuss [aut]
Repository: CRAN
Date/Publication: 2018-02-19 10:14:03 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-24 13:23:48 UTC; windows
Archs: i386, x64
