| betahat.fun | Calculates MLE coefficients of linear fit |
| corr | correlation function for calculating A |
| emulator-package | Bayesian Emulation of Computer Programs |
| estimator | Estimates each known datapoint using the others as datapoints |
| expert.estimates | Expert estimates for Goldstein input parameters |
| interpolant | 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 |
| optimal.scales | Use optimization techniques to find the optimal scales |
| pad | Simple pad function |
| prior.b | Prior linear fits |
| quad.form | Evaluate a quadratic form efficiently |
| regressor.basis | Regressor basis function |
| results.table | Results from 100 Goldstein runs |
| sample.n.fit | Sample from a Gaussian process and fit an emulator to the... |
| scales.likelihood | Likelihood of roughness parameters |
| s.chi | Variance estimator |
| sigmahatsquared | Estimator for sigma squared |
| toy | A toy dataset |
| tr | Trace of a matrix |
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