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 |