Man pages for RobinHankin/calibrator
Bayesian Calibration of Complex Computer Codes

beta1hat.funbeta1 estimator
beta2hat.funestimator for beta2
betahat.fun.kohExpectation of beta, given theta, phi and d
blockdiagAssembles matrices blockwise into a block diagonal matrix
C1Matrix of distances from D1 to D2
calibrator-packageBayesian Calibration of Complex Computer Codes
cov.p5.suppCovariance function for posterior distribution of z
create.new.toy.datasetsCreate new toy datasets
D1.funFunction to join x.star to t.vec to give matrix D1
D2.funAugments observation points with parameters
dists.2framesDistance between two points
EK.eqn10.suppPosterior mean of K
etahatExpectation of computer output
E.theta.toyExpectation and variance with respect to theta
extractor.toyExtracts lat/long matrix and theta matrix from D2.
Ez.eqn7.suppExpectation of z given y, beta2, phi
Ez.eqn9.suppExpectation as per equation 10 of KOH2001
h1Basis functions
H1.toyBasis functions for D1 and D2
hbar.fun.toyToy example of hbar (section 4.2)
H.funH function
is.positive.definiteIs a matrix positive definite?
MHVery basic implementation of the Metropolis-Hastings...
p.eqn4.suppApostiori probability of psi1
p.eqn8.suppA postiori probability of hyperparameters
phi.fun.toyFunctions to create or change hyperparameters
p.page4A postiori probability of hyperparameters
prob.psi1A priori probability of psi1, psi2, and theta
realityReality
stage1Stage 1,2 and 3 optimization on toy dataset
symmetrizeSymmetrize an upper triangular matrix
teeAuxiliary functions for equation 9 of the supplement
toysToy datasets
tt.funIntegrals needed in KOH2001
V1Distance matrix
V2distance between observation points
VdVariance matrix for d
V.funVariance matrix for observations
Wcovariance matrix for beta
W1Variance matrix for beta1hat
W2variance matrix for beta2
RobinHankin/calibrator documentation built on May 8, 2019, 8:06 a.m.