calibrator1.2-8 package

Assembles matrices blockwise into a block diagonal matrix

Matrix of distances from D1 to D2

tools:::Rd_package_title("calibrator")

beta1 estimator

estimator for beta2

Expectation of beta, given theta, phi and d

Covariance function for posterior distribution of z

Create new toy datasets

Function to join x.star to t.vec to give matrix D1

Augments observation points with parameters

Distance between two points

Expectation and variance with respect to theta

Posterior mean of K

Expectation of computer output

Extracts lat/long matrix and theta matrix from D2.

Expectation of z given y, beta2, phi

Expectation as per equation 10 of KOH2001

H function

Basis functions

Basis functions for D1 and D2

Toy example of hbar (section 4.2)

Is a matrix positive definite?

Very basic implementation of the Metropolis-Hastings algorithm

Apostiori probability of psi1

A postiori probability of hyperparameters

A postiori probability of hyperparameters

Functions to create or change hyperparameters

A priori probability of psi1, psi2, and theta

Reality

Stage 1,2 and 3 optimization on toy dataset

Symmetrize an upper triangular matrix

Auxiliary functions for equation 9 of the supplement

Integrals needed in KOH2001

Variance matrix for observations

Distance matrix

distance between observation points

Variance matrix for d

covariance matrix for beta

Variance matrix for beta1hat

variance matrix for beta2