R: Bayesian Calibration of Complex Computer Codes

# Bayesian Calibration of Complex Computer Codes

## Documentation for package ‘calibrator’ version 1.2-8

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

calibrator-package | Bayesian Calibration of Complex Computer Codes
beta1hat.fun | beta1 estimator
beta2hat.fun | estimator for beta2
betahat.fun.koh | Expectation of beta, given theta, phi and d
betahat.fun.koh.vector | 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 | Bayesian Calibration of Complex Computer Codes
computer.model | Reality
Cov.eqn9.supp | Covariance function for posterior distribution of z
cov.p5.supp | Covariance function for posterior distribution of z
create.new.toy.datasets | Create new toy datasets
d.toy | Toy datasets
D1.fun | Function to join x.star to t.vec to give matrix D1
D1.toy | Toy datasets
D2.fun | Augments observation points with parameters
D2.toy | Toy datasets
dists.2frames | Distance between two points
E.theta.toy | Expectation and variance with respect to theta
Edash.theta.toy | Expectation and variance with respect to theta
EK.eqn10.supp | Posterior mean of K
etahat | Expectation of computer output
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
Ez.eqn9.supp.vector | Expectation as per equation 10 of KOH2001
H.fun | H function
h.fun | Auxiliary functions for equation 9 of the supplement
H1.toy | Basis functions for D1 and D2
h1.toy | Basis functions
H2.toy | Basis functions for D1 and D2
h2.toy | Basis functions
hbar.fun.toy | Toy example of hbar (section 4.2)
hh.fun | Integrals needed in KOH2001
ht.fun | Integrals needed in KOH2001
is.positive.definite | Is a matrix positive definite?
MH | Very basic implementation of the Metropolis-Hastings algorithm
model.inadequacy | Reality
p.eqn4.supp | Apostiori probability of psi1
p.eqn8.supp | A postiori probability of hyperparameters
p.eqn8.supp.vector | A postiori probability of hyperparameters
p.equationn4.supp | Apostiori probability of psi1
p.page4 | A postiori probability of hyperparameters
phi.change | Functions to create or change hyperparameters
phi.fun.toy | Functions to create or change hyperparameters
phi.toy | Toy datasets
phi.true | Reality
phi.true.toy | Reality
prob.psi1 | A priori probability of psi1, psi2, and theta
prob.psi2 | A priori probability of psi1, psi2, and theta
prob.theta | A priori probability of psi1, psi2, and theta
reality | Reality
sample.theta | A priori probability of psi1, psi2, and theta
stage1 | Stage 1,2 and 3 optimization on toy dataset
stage2 | Stage 1,2 and 3 optimization on toy dataset
stage3 | Stage 1,2 and 3 optimization on toy dataset
symmetrize | Symmetrize an upper triangular matrix
t.fun | Integrals needed in KOH2001
t.vec.toy | Toy datasets
tee | Auxiliary functions for equation 9 of the supplement
theta.toy | Toy datasets
toys | Toy datasets
tt.fun | Integrals needed in KOH2001
V.fun | Variance matrix for observations
V.toy | Toy datasets
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
X.dist.toy | Toy datasets
x.toy | Toy datasets
x.toy2 | Toy datasets
x.vec | Toy datasets
y.toy | Toy datasets
z.toy | Toy datasets