Last data update: 2014.03.03

bigGP

Package: bigGP
Version: 0.1-6
Date: 2015-07-07
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: http://www.jstatsoft.org/v63/i10/
Collate: 'auxil.R' 'bigGP.R' 'collectDistribute.R'
'distributedComputation.R' 'krigeProblem.R'
NeedsCompilation: yes
Packaged: 2015-07-08 01:15:45 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: 2015-07-08 13:49:56

● 0 images, 34 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
ERROR: dependency 'Rmpi' is not available for package 'bigGP'
* removing '/home/ddbj/local/lib64/R/library/bigGP'