Package: bigGP
Version: 0.1.8
Date: 2023-04-27
Title: Distributed Gaussian Process Calculations
Authors@R: c(person("Christopher", "Paciorek", email = "paciorek@stat.berkeley.edu", role = c("aut", "cre")), person("Benjamin","Lipshitz", role = c("aut")), person(family = "Prabhat", role = c("ctb")), person("Cari", "Kaufman", role = c("ctb")), person("Tina", "Zhuo", role = c("ctb")), person("Rollin", "Thomas", role = c("ctb")))
Depends: R (>= 3.0.0), Rmpi (>= 0.6-2), methods
Suggests: rlecuyer, fields
LazyData: Yes
Description: Distributes Gaussian process calculations across nodes
    in a distributed memory setting, using Rmpi. The bigGP class 
    provides high-level methods for maximum likelihood with normal data, 
    prediction, calculation of uncertainty (i.e., posterior covariance 
    calculations), and simulation of realizations. In addition, bigGP 
    provides an API for basic matrix calculations with distributed 
    covariance matrices, including Cholesky decomposition, back/forwardsolve, 
    crossproduct, and matrix multiplication.
SystemRequirements: OpenMPI or MPICH2
OS_type: unix
License: GPL (>= 2)
URL: https://doi.org/10.18637/jss.v063.i10
Collate: 'auxil.R' 'bigGP.R' 'collectDistribute.R'
        'distributedComputation.R' 'krigeProblem.R'
NeedsCompilation: yes
Packaged: 2023-04-25 14:55:25 UTC; paciorek
Author: Christopher Paciorek [aut, cre],
  Benjamin Lipshitz [aut],
  Prabhat [ctb],
  Cari Kaufman [ctb],
  Tina Zhuo [ctb],
  Rollin Thomas [ctb]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>
Repository: CRAN
Date/Publication: 2023-04-25 20:50:02 UTC
Built: R 4.4.0; aarch64-apple-darwin22.6.0; 2024-04-30 17:11:48 UTC; unix
