Local Approximate Gaussian Process Regression

Documentation for package ‘laGP’ version 1.1

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
alcGP	Improvement statistics for sequential or local design
alcrayGP	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
distance	Calculate Euclidean distance between pairs of points
efiGP	Improvement statistics for sequential or local design
garg	Generate Priors for GP correlation
jmleGP	Inference for GP correlation parameters
jmleGP.R	Inference for GP correlation parameters
laGP	Localized Approximate GP Regression At a Single Predictive Location
laGP.R	Localized Approximate GP Regression At a Single Predictive Location
llikGP	Calculate a GP log likelihood
mleGP	Inference for GP correlation parameters
mspeGP	Improvement statistics for sequential or local design
newGP	Create A New GP Object
optim.auglag	Optimize a linear objective function under multiple blackbox constraints
predGP	GP Prediction/Kriging
updateGP	Create A New GP Object