H1.toy {calibrator}

Basis functions for D1 and D2

Description

Applies basis functions to rows of D1 and D2

Usage

H1.toy(D1)
H2.toy(D2)

Arguments

D1

Matrix of code run points

D2

Matrix of observation points

Value

Returns a matrix whose rows are the basis functions of the code run points or observation points. Function H1.toy() operates on datasets like D1.toy (latlong and parameters) and function H2.toy() operates on datasets like D2.toy (latlong only)

Note

See package goldstein for a less trivial example of h().

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

D1.toy,

Examples

data(toys)
jj <- extractor.toy(D1.toy)
x.star.toy <- jj$x.star
t.vec.toy <- jj$t.vec

H1.toy(D1=D1.toy)
H1.toy(D1.toy[1,,drop=FALSE])
H1.toy(D1.fun(x.star.toy , theta.toy)[1,,drop=FALSE])
H1.toy(D1.fun(x.star=x.toy,t.vec=theta.toy))
H1.toy(D1.fun(x.star=x.star.toy[1,],t.vec=t.vec.toy[1,]))
H1.toy(D1.fun(x.star=x.star.toy[1,],t.vec=t.vec.toy[1:2,]))

H2.toy(D2.toy)
H2.toy(t(x.toy))