Package: bigGP
Version: 0.1.9
Date: 2025-04-09
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
BuildResaveData: best
OS_type: unix
License: GPL (>= 2)
URL: https://doi.org/10.18637/jss.v063.i10
BugReports: https://github.com/paciorek/bigGP/issues
Collate: 'auxil.R' 'bigGP.R' 'collectDistribute.R'
        'distributedComputation.R' 'krigeProblem.R'
Config/pak/sysreqs: libopenmpi-dev
Repository: https://paciorek.r-universe.dev
Date/Publication: 2025-04-09 16:33:09 UTC
RemoteUrl: https://github.com/paciorek/biggp
RemoteRef: HEAD
RemoteSha: ac50425c540aecc3494c5fd985f85eac7da351c6
RemoteSubdir: bigGP
NeedsCompilation: yes
Packaged: 2026-07-04 03:05:36 UTC; root
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>