| beta1hat.fun | beta1 estimator |
| beta2hat.fun | estimator for beta2 |
| betahat.fun.koh | Expectation of beta, given theta, phi and d |
| blockdiag | Assembles matrices blockwise into a block diagonal matrix |
| C1 | Matrix of distances from D1 to D2 |
| calibrator-package | Bayesian Calibration of Complex Computer Codes |
| cov.p5.supp | Covariance function for posterior distribution of z |
| create.new.toy.datasets | Create new toy datasets |
| D1.fun | Function to join x.star to t.vec to give matrix D1 |
| D2.fun | Augments observation points with parameters |
| dists.2frames | Distance between two points |
| EK.eqn10.supp | Posterior mean of K |
| etahat | Expectation of computer output |
| E.theta.toy | Expectation and variance with respect to theta |
| extractor.toy | Extracts lat/long matrix and theta matrix from D2. |
| Ez.eqn7.supp | Expectation of z given y, beta2, phi |
| Ez.eqn9.supp | Expectation as per equation 10 of KOH2001 |
| h1 | Basis functions |
| H1.toy | Basis functions for D1 and D2 |
| hbar.fun.toy | Toy example of hbar (section 4.2) |
| H.fun | H function |
| is.positive.definite | Is a matrix positive definite? |
| MH | Very basic implementation of the Metropolis-Hastings... |
| p.eqn4.supp | Apostiori probability of psi1 |
| p.eqn8.supp | A postiori probability of hyperparameters |
| phi.fun.toy | Functions to create or change hyperparameters |
| p.page4 | A postiori probability of hyperparameters |
| prob.psi1 | A priori probability of psi1, psi2, and theta |
| reality | Reality |
| stage1 | Stage 1,2 and 3 optimization on toy dataset |
| symmetrize | Symmetrize an upper triangular matrix |
| tee | Auxiliary functions for equation 9 of the supplement |
| toys | Toy datasets |
| tt.fun | Integrals needed in KOH2001 |
| V1 | Distance matrix |
| V2 | distance between observation points |
| Vd | Variance matrix for d |
| V.fun | Variance matrix for observations |
| W | covariance matrix for beta |
| W1 | Variance matrix for beta1hat |
| W2 | variance matrix for beta2 |
