H.fun {calibrator} | R Documentation |
H. See front page of KOHsupp.
H.fun(theta, D1, D2, H1, H2, phi)
theta |
parameters |
D1 |
matrix of code run points |
D2 |
matrix of observation points |
H1 |
Regressor function for D1 |
H2 |
Regressor function for D2 |
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.shef.ac.uk/~st1ao/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) H.fun(theta=theta.toy, D1=D1.toy, D2=D2.toy, H1=H1.toy, H2=H2.toy, phi=phi.toy) H.fun(theta=theta.toy, D1=D1.toy[1,,drop=FALSE], D2=D2.toy, H1=H1.toy, H2=H2.toy, phi=phi.toy) H.fun(theta=theta.toy, D1=D1.toy[1,,drop=FALSE], D2=D2.toy[1,,drop=FALSE], H1=H1.toy, H2=H2.toy, phi=phi.toy)