W2 {calibrator}  R Documentation 
variance matrix for beta2
Description
Variance matrix for beta2 as per page 4 of the supplement
Usage
W2(D2, H2, V, det=FALSE)
Arguments
D2 
matrix of observation points 
H2 
regression function 
V 
Overall covariance matrix 
det 
Boolean, with default 
Details
If only the determinant is required, setting argument det
to
TRUE
is faster than using det(W2(...,det=FALSE))
, as the
former avoids an unnecessary use of solve()
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) pp425464

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.tonyohagan.co.uk/academic/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
Examples
data(toys)
W2(D2=D2.toy, H2=H2.toy, V=V.toy)