| Package: | approximator |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2006-01-10 |
| License: | GPL |
This package implements the Bayesian approximation techniques discussed
in Kennedy and O'Hagan 2000.
In its simplest form, it takes input from a “slow” but accurate
code and a “fast” but inaccurate code, each run at different
points in parameter space. The approximator package then uses both sets
of model runs to infer what the slow code would produce at a given,
untried point in parameter space.
The package includes functionality to work with a hierarchy of codes
with increasing accuracy.