tee {calibrator} | R Documentation |
Returns a vector whose elements are the “distances” from a point to the observations and code run points.
tee(x, theta, D1, D2, phi)
x |
Point from which distances are calculated |
theta |
Value of parameters |
D1 |
Matrix of code run points |
D2 |
Matrix of observation points |
phi |
Hyperparameters |
This function returns the column vector just below equation 10 of KOH2001 (NB: not equation 10 of the supplement!)
Robin K. S. Hankin
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)
data(toys) tee(x=x.toy, theta=theta.toy, D1=D1.toy, D2=D2.toy, phi=phi.toy)