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bigGP
View on CRAN: Click
here
Download and install bigGP package within the R console
Install from CRAN:
install.packages("bigGP")
Install from Github:
library("remotes")
install_github("cran/bigGP")
Install by package version:
library("remotes")
install_version("bigGP", "0.1.8")
Attach the package and use:
library("bigGP")
Maintained by
Christopher Paciorek
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-06-04
Latest Update: 2023-04-25
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.
How to cite:
Christopher Paciorek (2013). bigGP: Distributed Gaussian Process Calculations. R package version 0.1.8, https://cran.r-project.org/web/packages/bigGP
Previous versions and publish date:
Other packages that cited bigGP R package
View bigGP citation profile
Other R packages that bigGP depends,
imports, suggests or enhances
Functions, R codes and Examples using
the bigGP R package
Some associated functions: SN2011fe . alloc . bigGP-meta . bigGP.exit . bigGP.init . bigGP . calcD . calcIJ . collectDiagonal . collectRectangularMatrix . collectTriangularMatrix . collectVector . distributeVector . distributedKrigeProblem-class . getDistributedVectorLength . krigeProblem-class . localAssign . localCalc . localCollectVector . localGetVectorIndices . localKrigeProblemConstructMean . localRm . pull . push . remoteCalc . remoteCalcChol . remoteConstructRnormVector . remoteCrossProdMatSelf . remoteCrossProdMatVec . remoteForwardsolve . remoteGetIndices . remoteLs . remoteMultChol . remoteRm .
Some associated R codes: auxil.R . bigGP.R . collectDistribute.R . distributedComputation.R . krigeProblem.R . Full bigGP package functions and examples
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