# V2

0th

Percentile

##### distance between observation points

distance between observation points

Keywords
array
##### Usage
V2(x, other = NULL,  phi)
##### Arguments
x

Matrix whose rows are observation points

other

Second matrix; if NULL, use x

phi

Hyperparameters

##### Details

This function returns the variance matrix of observations of the real process $z$ at points $D_2=\left\{x_1,\ldots,x_n\right\}$.

It appears in the lower right corner of the variance matrix on the bottom of page 1 of the supplement, calculated by function Vd().

It is also used in functions Cov.eqn9.supp() and V.fun().

##### 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

V1

• V2
##### Examples
# NOT RUN {
data(toys)
V2(D2.toy,other=NULL, phi=phi.toy)
V2(D2.toy,x.vec,phi=phi.toy)
# }

Documentation reproduced from package calibrator, version 1.2-8, License: GPL-2

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