| V2 {calibrator} | R Documentation |
distance between observation points
Description
distance between observation points
Usage
V2(x, other = NULL, phi)
Arguments
x |
Matrix whose rows are observation points |
other |
Second matrix; if NULL, use x |
phi |
Hyperparameters |
Details
This function returns the variance matrix of observations of the real
process z at points
D2={x_1,...,x_n}.
It appears in the lower right corner of the variance matrix on the
bottom of page 1 of the supplement, calculated by function
Vd().
It is also used in functions Cov.eqn9.supp() and
V.fun().
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
V1
Examples
data(toys)
V2(D2.toy,other=NULL, phi=phi.toy)
V2(D2.toy,x.vec,phi=phi.toy)
[Package
calibrator version 1.0-55
Index]