Package: bigGP
Version: 0.1-3
Date: 2014-05-23
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, rsprng, fields
LazyData: Yes
Description: bigGP distributes Gaussian process calculations across nodes
    in a distributed memory setting, using Rmpi. The 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: http://www.stat.berkeley.edu/~paciorek/code/bigGP
Collate: 'auxil.R' 'bigGP.R' 'collectDistribute.R'
        'distributedComputation.R' 'krigeProblem.R'
Packaged: 2014-05-24 16:37:28 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>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-05-24 19:28:39
