p.eqn4.supp {calibrator} | R Documentation |
Gives the probability of \psi_1
, given observations.
Equation 4 of the supplement
p.eqn4.supp(D1, y, H1, include.prior=TRUE, lognormally.distributed, return.log, phi)
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 |
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)
p.eqn4.supp(D1=D1.toy, y=y.toy , H1=H1.toy, lognormally.distributed=TRUE,
phi=phi.toy)