D2.fun {calibrator}

Augments observation points with parameters

Description

Augments observation points with parameters; will recycle if necessary

Usage

D2.fun(D2, theta)

Arguments

D2

Observation points

theta

Parameters

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.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

D1.toy, theta.toy

Examples

data(toys)
D2.fun(D2=D2.toy, theta=theta.toy)
D2.fun(D2=t(x.toy), theta=theta.toy)
D2.fun(D2=D2.toy[1,,drop=FALSE], theta=theta.toy)