C1                      Matrix of distances from D1 to D2
D1.fun                  Function to join x.star to t.vec to give matrix
                        D1
D2.fun                  Augments observation points with parameters
E.theta.toy             Expectation and variance with respect to theta
EK.eqn10.supp           Posterior mean of K
Ez.eqn7.supp            Expectation of z given y, beta2, phi
Ez.eqn9.supp            Expectation as per equation 10 of KOH2001
H.fun                   H function
H1.toy                  Basis functions for D1 and D2
MH                      Very basic implementation of the
                        Metropolis-Hastings algorithm
V.fun                   Variance matrix for observations
V1                      Distance matrix
V2                      distance between observation points
Vd                      Variance matrix for d
W                       covariance matrix for beta
W1                      Variance matrix for beta1hat
W2                      variance matrix for beta2
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
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
dists.2frames           Distance between two points
etahat                  Expectation of computer output
extractor.toy           Extracts lat/long matrix and theta matrix from
                        D2.
h1.toy                  Basis functions
hbar.fun.toy            Toy example of hbar (section 4.2)
is.positive.definite    Is a matrix positive definite?
p.eqn4.supp             Apostiori probability of psi1
p.eqn8.supp             A postiori probability of hyperparameters
p.page4                 A postiori probability of hyperparameters
phi.fun.toy             Functions to create or change 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
