Distributed Gaussian Process Calculations


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Documentation for package ‘bigGP’ version 0.1-6

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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 Return a Distributed Vector to the Master Process
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