extractor.toy {calibrator} | R Documentation |
Extracts x.star.toy
and t.vec.toy
from D2
; toy
example needed because the extraction differs from case to case.
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)
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)