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BACCO (version 1.0-50)

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.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

Run this code
data(toys)
Vd(D1=D1.toy, D2=D2.toy, theta=theta.toy, phi=phi.toy)

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