W1 {calibrator} | R Documentation |
returns the variance-covariance matrix for the estimate of beta1hat
W1(D1, H1, det=FALSE, phi)
D1 |
matrix of code points |
H1 |
Basis function generator |
phi |
Hyperparameters |
det |
Boolean, with default |
If only the determinant is required, setting argument det
to
TRUE
is faster than using det(W1(...,det=FALSE))
, as the
former avoids an unnecessary use of solve()
.
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.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)
data(toys)
W1(D1=D1.toy, H1=H1.toy, phi=phi.toy)