psgp: Projected Spatial Gaussian Process (psgp) methods
Version 0.3-6

Implements projected sparse Gaussian process kriging for the intamap package

AuthorBen Ingram <bri@utalca.cl>, Remi Barillec <r.barillec@aston.ac.uk>
Date of publication2014-05-08 16:45:17
MaintainerRemi Barillec <r.barillec@aston.ac.uk>
LicenseGPL (>= 2)
Version0.3-6
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("psgp")

Getting started

Package overview

Popular man pages

buildMetadata: Build Metadata Table
estimateParameters: Parameter estimation using a Projected Sequential Gaussian...
learnParameters: Projected Sequential Gaussian Process
makePrediction: Spatial projected sequential GP prediction
psgp-package: Projected Sequential Gaussian Processes for spatial...
spatialPredict: Spatial prediction using a Projected Sequential Gaussian...
See all...

All man pages Function index File listing

Man pages

buildMetadata: Build Metadata Table
estimateParameters: Parameter estimation using a Projected Sequential Gaussian...
learnParameters: Projected Sequential Gaussian Process
makePrediction: Spatial projected sequential GP prediction
psgp-package: Projected Sequential Gaussian Processes for spatial...
spatialPredict: Spatial prediction using a Projected Sequential Gaussian...

Functions

buildMetadata Man page Source code
estimateParameters Man page
estimateParameters.psgp Man page Source code
learnParameters Man page Source code
makePrediction Man page Source code
plot.psgp Source code
psgp-package Man page
spatialPredict Man page
spatialPredict.psgp Man page Source code
summary.psgp Source code

Files

inst
inst/doc
inst/doc/InstallationInstructions.Rnw
inst/doc/InstallationInstructions.pdf
tests
tests/psgp.R
tests/meuse_psgp.R
tests/meuse_psgp.Rout.save
tests/psgp.Rout.save
src
src/Makevars
src/psgp_settings.h
src/covarianceFunctions
src/covarianceFunctions/GaussianCF.cpp
src/covarianceFunctions/CovarianceFunction.h
src/covarianceFunctions/Transform.cpp
src/covarianceFunctions/Matern5CF.cpp
src/covarianceFunctions/SumCovarianceFunction.cpp
src/covarianceFunctions/GaussianCF.h
src/covarianceFunctions/LogTransform.h
src/covarianceFunctions/WhiteNoiseCF.h
src/covarianceFunctions/SumCovarianceFunction.h
src/covarianceFunctions/Matern5CF.h
src/covarianceFunctions/CovarianceFunction.cpp
src/covarianceFunctions/ExponentialCF.h
src/covarianceFunctions/WhiteNoiseCF.cpp
src/covarianceFunctions/IdentityTransform.h
src/covarianceFunctions/ConstantCF.h
src/covarianceFunctions/LogTransform.cpp
src/covarianceFunctions/ConstantCF.cpp
src/covarianceFunctions/Transform.h
src/covarianceFunctions/IdentityTransform.cpp
src/covarianceFunctions/ExponentialCF.cpp
src/gaussianProcesses
src/gaussianProcesses/ForwardModel.cpp
src/gaussianProcesses/PSGP.h
src/gaussianProcesses/ForwardModel.h
src/gaussianProcesses/PSGP.cpp
src/gaussianProcesses/GaussianProcess.h
src/gaussianProcesses/GaussianProcess.cpp
src/psgp_common.cpp
src/psgp_data.h
src/psgp_common.h
src/psgp_estimator.cpp
src/psgp_data.cpp
src/Makevars.win
src/sensor_metadata_parser.h
src/likelihoodModels
src/likelihoodModels/GaussianLikelihood.cpp
src/likelihoodModels/GaussianLikelihood.h
src/likelihoodModels/AnalyticLikelihood.cpp
src/likelihoodModels/LikelihoodType.cpp
src/likelihoodModels/LikelihoodType.h
src/likelihoodModels/AnalyticLikelihood.h
src/sensor_metadata_parser.cpp
src/optimisation
src/optimisation/ModelTrainer.cpp
src/optimisation/Optimisable.h
src/optimisation/Optimisable.cpp
src/optimisation/ModelTrainer.h
src/optimisation/SCGModelTrainer.h
src/optimisation/SCGModelTrainer.cpp
src/psgp_estimator.h
src/RInterface.cpp
NAMESPACE
R
R/estimateParameters.R
R/spatialPredict.R
R/makePrediction.R
R/learnParameters.R
R/buildMetadata.R
R/summary.R
vignettes
vignettes/InstallationInstructions.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
ChangeLog
man
man/buildMetadata.Rd
man/makePrediction.rd
man/learnParameters.rd
man/estimateParameters.Rd
man/spatialPredict.Rd
man/psgp-package.Rd
psgp documentation built on May 19, 2017, 4:16 p.m.

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