| 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.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)
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