Vd {calibrator} | R Documentation |
Variance matrix for d
Description
Variance matrix for d, as per the bottom of page 1 of the supplement
Usage
Vd(D1, D2, theta, phi)
Arguments
D1 |
matrix of code run points |
D2 |
matrix of observation points |
theta |
Parameters |
phi |
hyperparameters |
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
H.fun
,V1
,V2
,C1
Examples
data(toys)
Vd(D1=D1.toy, D2=D2.toy, theta=theta.toy, phi=phi.toy)
[Package
calibrator version 1.0-58
Index]