H1.toy {calibrator} R Documentation

## 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)

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))


[Package calibrator version 1.2-8 Index]