calibrator: Bayesian Calibration of Complex Computer Codes

Description Usage Arguments Details Value Author(s) References See Also Examples

Extracts x.star.toy and t.vec.toy from D2; toy example needed because the extraction differs from case to case.

1	extractor.toy(D1)

`D1`	Matrix of code run points

The first two columns give the elements of x.star and columns 3 through 5 give the elements of t.vec.

Function extractor.toy is the inverse of function D1.fun, in the sense that extractor.toy splits up D1 into x.star and t.vec, while D1.fun joins them up again

Returns a list with two elements:

`x.star`	A matrix containing the lat/longs of the code run points
`t.vec`	A matrix containing the parameters used for the code runs

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)

toys, D1.fun

data(toys)
extractor.toy(D1.toy)
extractor.toy(D1.toy[1,,drop=FALSE])
(jj <- extractor.toy(D1.fun(x.star=x.toy , t.vec=theta.toy)))
D1.fun(jj$x.star,jj$t.vec)