Bayesian Emulation of Computer Programs

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Documentation for package ‘emulator’ version 1.2-24

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

emulator-package	Bayesian Emulation of Computer Programs
betahat.fun	Calculates MLE coefficients of linear fit
betahat.fun.A	Calculates MLE coefficients of linear fit
cond.sample	Implementation of the ideas of Oakley and O'Hagan 2002
corr	correlation function for calculating A
corr.matrix	correlation function for calculating A
cprod	Evaluate a quadratic form efficiently
emulator	Bayesian Emulation of Computer Programs
estimator	Estimates each known datapoint using the others as datapoints
expert.estimates	Expert estimates for Goldstein input parameters
ht	Evaluate a quadratic form efficiently
int.qq	Interpolates between known points using Bayesian estimation
interpolant	Interpolates between known points using Bayesian estimation
interpolant.quick	Interpolates between known points using Bayesian estimation
latin.hypercube	Latin hypercube design matrix
makeinputfiles	Makes input files for condor runs of goldstein
model	Simple model for concept checking
OO2002	Implementation of the ideas of Oakley and O'Hagan 2002
oo2002	Implementation of the ideas of Oakley and O'Hagan 2002
optimal.scale	Use optimization techniques to find the optimal scales
optimal.scales	Use optimization techniques to find the optimal scales
pad	Simple pad function
prior.B	Prior linear fits
prior.b	Prior linear fits
quad.3diag	Evaluate a quadratic form efficiently
quad.3form	Evaluate a quadratic form efficiently
quad.3form.inv	Evaluate a quadratic form efficiently
quad.3tdiag	Evaluate a quadratic form efficiently
quad.3tform	Evaluate a quadratic form efficiently
quad.diag	Evaluate a quadratic form efficiently
quad.form	Evaluate a quadratic form efficiently
quad.form.inv	Evaluate a quadratic form efficiently
quad.tdiag	Evaluate a quadratic form efficiently
quad.tform	Evaluate a quadratic form efficiently
quad.tform.inv	Evaluate a quadratic form efficiently
regressor.basis	Regressor basis function
regressor.multi	Regressor basis function
results.table	Results from 100 Goldstein runs
s.chi	Variance estimator
sample.from.exp.est	Makes input files for condor runs of goldstein
sample.n.fit	Sample from a Gaussian process and fit an emulator to the points
scales.likelihood	Likelihood of roughness parameters
sigmahatsquared	Estimator for sigma squared
sigmahatsquared.A	Estimator for sigma squared
tcprod	Evaluate a quadratic form efficiently
toy	A toy dataset
tr	Trace of a matrix
var.conditional	Implementation of the ideas of Oakley and O'Hagan 2002