D1.fun {calibrator}R Documentation

Function to join x.star to t.vec to give matrix D1

Description

Function to join x.star to t.vec to give matrix D1 with correct row- and column- names.

Usage

D1.fun(x.star, t.vec)

Arguments

x.star Matrix of code run points
t.vec Matrix of parameter theta values

Details

Note that the matrix returned is a D1 matrix: it is a design matrix for code observations as it contains both x and theta

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)

See Also

toys

Examples

data(toys)
jj <- extractor.toy(D1.toy)
x.star.toy <- jj$x.star
t.vec.toy  <- jj$t.vec
D1.fun(x.star.toy , t.vec.toy)  # both dataframes
D1.fun(x.star.toy , theta.toy)  # one dataframe, one vector
D1.fun(x.toy , t.vec.toy)       # one vector, one dataframe
D1.fun(x.toy,theta.toy)         # two vectors

[Package calibrator version 1.0-48 Index]