Distributed Gaussian Process Calculations

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Documentation for package ‘bigGP’ version 0.1.8

• DESCRIPTION file.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

bigGP-package	Package for Calculations with Big Gaussian Processes
.bigGP	Information about the number and identities of the processes
.bigGP.fill	Information about the number and identities of the processes
alloc	Create Object with its Own Memory
bigGP	Package for Calculations with Big Gaussian Processes
bigGP-meta	Information about the number and identities of the processes
bigGP.exit	Exit bigGP Environment
bigGP.init	Initialize bigGP package
bigGP.quit	Exit bigGP Environment
calcD	Calculate Partition Factor
calcH-method	Class '"krigeProblem"'
calcIJ	Calculate Slave Process Identifiers
calcLogDens-method	Class '"krigeProblem"'
calcPostCov-method	Class '"krigeProblem"'
collectDiagonal	Return the Diagonal of a Distributed Square Matrix to the Master Process
collectRectangularMatrix	Return a Distributed Rectangular Matrix to the Master Process
collectTriangularMatrix	Return a Distributed Symmetric or Triangular Matrix to the Master Process
collectVector	Return a Distributed Vector to the Master Process
distributedKrigeProblem	ReferenceClass for Distributed Components of the krigeProblem ReferenceClass
distributedKrigeProblem-class	ReferenceClass for Distributed Components of the krigeProblem ReferenceClass
distributeVector	Distribute a Vector to the Slave Processes
getDistributedRectangularMatrixLength	Find Length of Subset of Vector or Matrix Stored on Slave Process
getDistributedTriangularMatrixLength	Find Length of Subset of Vector or Matrix Stored on Slave Process
getDistributedVectorLength	Find Length of Subset of Vector or Matrix Stored on Slave Process
initializeSlaveProblems-method	Class '"krigeProblem"'
krigeProblem	Class '"krigeProblem"'
krigeProblem-class	Class '"krigeProblem"'
localAssign	Assign a New Name to an Object on Slave Process
localBacksolve	Local Calculation Functions
localCalc	Local Calculation Functions
localCalcChol	Local Calculation Functions
localCollectDiagonal	Local Distribution and Collection Functions
localCollectDiagonalTest	Local Distribution and Collection Functions
localCollectRectangularMatrix	Local Distribution and Collection Functions
localCollectRectangularMatrixTest	Local Distribution and Collection Functions
localCollectTriangularMatrix	Local Distribution and Collection Functions
localCollectTriangularMatrixTest	Local Distribution and Collection Functions
localCollectVector	Local Distribution and Collection Functions
localCollectVectorTest	Local Distribution and Collection Functions
localConstructRnormMatrix	Local Calculation Functions
localCrossProdMatSelf	Local Calculation Functions
localCrossProdMatSelfDiag	Local Calculation Functions
localCrossProdMatVec	Local Calculation Functions
localDistributeVector	Local Distribution and Collection Functions
localDistributeVectorTest	Local Distribution and Collection Functions
localForwardsolve	Local Calculation Functions
localGetRectangularMatrixIndices	Get Indices of Vector or Matrix Elements Stored on Slave Process
localGetTriangularMatrixIndices	Get Indices of Vector or Matrix Elements Stored on Slave Process
localGetVectorIndices	Get Indices of Vector or Matrix Elements Stored on Slave Process
localKrigeProblemConstructCov	Calculate Mean Vector or Covariance Matrix on Slave Process
localKrigeProblemConstructMean	Calculate Mean Vector or Covariance Matrix on Slave Process
localMultChol	Local Calculation Functions
localPull	Local Distribution and Collection Functions
localPullTest	Local Distribution and Collection Functions
localRm	Remove Objects on Slave Process
optimizeLogDens-method	Class '"krigeProblem"'
predict-method	Class '"krigeProblem"'
pull	Copy Object from Slave Processes to Master
push	Copy Object from Master to Slave Processes
remoteBacksolve	Solve a Distributed Triangular System
remoteCalc	Do Arbitrary Calculations on One or Two Inputs
remoteCalcChol	Calculate Distributed Cholesky Decomposition
remoteConstructCov-method	Class '"krigeProblem"'
remoteConstructMean-method	Class '"krigeProblem"'
remoteConstructRnormMatrix	Create Distributed Vector or Matrix of Random Normals
remoteConstructRnormVector	Create Distributed Vector or Matrix of Random Normals
remoteCrossProdMatSelf	Distributed Crossproduct of a Rectangular Matrix with Itself
remoteCrossProdMatSelfDiag	Distributed Crossproduct of a Rectangular Matrix with Itself
remoteCrossProdMatVec	Distributed Crossproduct of a Rectangular Matrix and a Vector
remoteForwardsolve	Solve a Distributed Triangular System
remoteGetIndices	Determine Indices of Vector or Matrix Elements Stored on all Processes
remoteLs	Remote List Objects
remoteMultChol	Distributed Multiplication of Lower Triangular Matrix and a Vector or Matrix
remoteRm	Remote Remove Objects
setParams-method	Class '"krigeProblem"'
show-method	Class '"krigeProblem"'
simulateRealizations-method	Class '"krigeProblem"'
SN2011fe	SN2011fe Supernova Dataset
SN2011fe_covfunc	SN2011fe Supernova Dataset
SN2011fe_crosscovfunc	SN2011fe Supernova Dataset
SN2011fe_initialParams	SN2011fe Supernova Dataset
SN2011fe_meanfunc	SN2011fe Supernova Dataset
SN2011fe_mle	SN2011fe Supernova Dataset
SN2011fe_mle_subset	SN2011fe Supernova Dataset
SN2011fe_newdata	SN2011fe Supernova Dataset
SN2011fe_newdata_subset	SN2011fe Supernova Dataset
SN2011fe_predcovfunc	SN2011fe Supernova Dataset
SN2011fe_predmeanfunc	SN2011fe Supernova Dataset
SN2011fe_subset	SN2011fe Supernova Dataset