Pi: Kennedy's Pi notation
In approximator: Bayesian Prediction of Complex Computer Codes
Pi R Documentation
Kennedy's Pi notation
Description
Evaluates Kennedy's \prod product
Usage
Pi(hpa, i, j)
Arguments
hpa
Hyperparameter object
i
subscript
j
superscript
Details
This function evaluates Kennedy's \prod product, but with the
additional feature that \prod_i^j=0 if i>j+1.
This seems to work in practice.
Author(s)
Robin K. S. Hankin
References
M. C. Kennedy and A. O'Hagan 2000. “Predicting the output from
a complex computer code when fast approximations are available”
Biometrika, 87(1): pp1-13
Examples
data(toyapps)
Pi(hpa.toy,1,2)
Pi(hpa.toy,2,2)
Pi(hpa.toy,3,2)
Pi(hpa.toy,4,2)
approximator documentation built on Aug. 25, 2023, 1:07 a.m.
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| Pi | R Documentation |
Kennedy's Pi notation
Description
Evaluates Kennedy's \prod product
Usage
Pi(hpa, i, j)
Arguments
hpa |
Hyperparameter object |
i |
subscript |
j |
superscript |
Details
This function evaluates Kennedy's \prod product, but with the
additional feature that \prod_i^j=0 if i>j+1.
This seems to work in practice.
Author(s)
Robin K. S. Hankin
References
M. C. Kennedy and A. O'Hagan 2000. “Predicting the output from a complex computer code when fast approximations are available” Biometrika, 87(1): pp1-13
Examples
data(toyapps)
Pi(hpa.toy,1,2)
Pi(hpa.toy,2,2)
Pi(hpa.toy,3,2)
Pi(hpa.toy,4,2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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