calibrator (version 1.2-8)

Vd: 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

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.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

H.fun,V1,V2,C1

Examples

Run this code
# NOT RUN {
data(toys)
Vd(D1=D1.toy, D2=D2.toy, theta=theta.toy, phi=phi.toy)
# }

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