tee {calibrator}R Documentation

tee: distances to a point

Description

Returns a vector whose elements are the “distances” from a point to the observations and code run points.

Usage

tee(x, theta, D1, D2, phi)

Arguments

x Point from which distances are calculated
theta Value of parameters
D1 Matrix of code run points
D2 Matrix of observation points
phi Hyperparameters

Details

This function returns the column vector just below equation 10 of KOH2001 (NB: not equation 10 of the supplement!)

Author(s)

Robin K. S. Hankin

References

M. C. Kennedy and A. O'Hagan 2001. “Bayesian calibration of computer models”. Journal of the Royal Statistical Society B, 63(3) pp425-464

M. C. Kennedy and A. O'Hagan 2001. “Supplementary details on Bayesian calibration of computer models”, Internal report, University of Sheffield. Available at http://www.shef.ac.uk/~st1ao/ps/calsup.ps

R. K. S. Hankin 2005. “Introducing BACCO, an R bundle for Bayesian analysis of computer code output”, Journal of Statistical Software, 14(16)

See Also

Ez.eqn9.supp

Examples

data(toys)
tee(x=x.toy, theta=theta.toy, D1=D1.toy, D2=D2.toy,
phi=phi.toy)

[Package calibrator version 1.0-37 Index]