p.eqn4.supp {calibrator}  R Documentation 
Apostiori probability of psi1
Description
Gives the probability of \psi_1
, given observations.
Equation 4 of the supplement
Usage
p.eqn4.supp(D1, y, H1, include.prior=TRUE, lognormally.distributed, return.log, phi)
Arguments
D1 
Matrix of code run points 
y 
Vector of code outputs 
H1 
Regression function 
include.prior 
Boolean with default 
lognormally.distributed 
Boolean; see 
return.log 
Boolean, with default 
phi 
hyperparameters 
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) pp425464

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
Examples
data(toys)
p.eqn4.supp(D1=D1.toy, y=y.toy , H1=H1.toy, lognormally.distributed=TRUE,
phi=phi.toy)