Local Approximate Gaussian Process Regression

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Documentation for package ‘laGP’ version 1.5-9

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.

Help Pages

aGP	Localized Approximate GP Regression For Many Predictive Locations
aGP.parallel	Localized Approximate GP Regression For Many Predictive Locations
aGP.R	Localized Approximate GP Regression For Many Predictive Locations
aGP.seq	Localized Approximate GP Regression For Many Predictive Locations
aGPsep	Localized Approximate GP Regression For Many Predictive Locations
aGPsep.R	Localized Approximate GP Regression For Many Predictive Locations
alcGP	Improvement statistics for sequential or local design
alcGPsep	Improvement statistics for sequential or local design
alcoptGP	Improvement statistics for sequential or local design
alcoptGPsep	Improvement statistics for sequential or local design
alcrayGP	Improvement statistics for sequential or local design
alcrayGPsep	Improvement statistics for sequential or local design
blhs	Bootstrapped block Latin hypercube subsampling
blhs.loop	Bootstrapped block Latin hypercube subsampling
dalcGP	Improvement statistics for sequential or local design
dalcGPsep	Improvement statistics for sequential or local design
darg	Generate Priors for GP correlation
deleteGP	Delete C-side Gaussian Process Objects
deleteGPs	Delete C-side Gaussian Process Objects
deleteGPsep	Delete C-side Gaussian Process Objects
deleteGPseps	Delete C-side Gaussian Process Objects
discrep.est	Estimate Discrepancy in Calibration Model
distance	Calculate the squared Euclidean distance between pairs of points
fcalib	Objective function for performing large scale computer model calibration via optimization
fishGP	Improvement statistics for sequential or local design
garg	Generate Priors for GP correlation
ieciGP	Improvement statistics for sequential or local design
ieciGPsep	Improvement statistics for sequential or local design
jmleGP	Inference for GP correlation parameters
jmleGP.R	Inference for GP correlation parameters
jmleGPsep	Inference for GP correlation parameters
jmleGPsep.R	Inference for GP correlation parameters
laGP	Localized Approximate GP Prediction At a Single Input Location
laGP.R	Localized Approximate GP Prediction At a Single Input Location
laGPsep	Localized Approximate GP Prediction At a Single Input Location
laGPsep.R	Localized Approximate GP Prediction At a Single Input Location
llikGP	Calculate a GP log likelihood
llikGPsep	Calculate a GP log likelihood
mleGP	Inference for GP correlation parameters
mleGPsep	Inference for GP correlation parameters
mleGPsep.R	Inference for GP correlation parameters
mspeGP	Improvement statistics for sequential or local design
newGP	Create A New GP Object
newGPsep	Create A New GP Object
optim.auglag	Optimize an objective function under multiple blackbox constraints
optim.efi	Optimize an objective function under multiple blackbox constraints
predGP	GP Prediction/Kriging
predGPsep	GP Prediction/Kriging
randLine	Generate two-dimensional random paths
updateGP	Create A New GP Object
updateGPsep	Create A New GP Object