H.fun {calibrator}R Documentation

H function

Description

H. See front page of KOHsupp.

Usage

H.fun(theta, D1, D2, H1, H2, phi)

Arguments

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

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) 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)

Examples

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)

[Package calibrator version 1.0-28 Index]