R: Bayesian Emulation of Computer Programs

# Bayesian Emulation of Computer Programs

## 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