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emulator: Bayesian Emulation of Computer Programs
Allows one to estimate the output of a computer program,
as a function of the input parameters, without actually running it.
The computer program is assumed to be a Gaussian process, whose
parameters are estimated using Bayesian techniques that give a PDF of
expected program output. This PDF is conditional on a training set
of runs, each consisting of a point in parameter space and the model
output at that point. The emphasis is on complex codes that take
weeks or months to run, and that have a large number of undetermined
input parameters; many climate prediction models fall into this
class. The emulator essentially determines Bayesian posterior
estimates of the PDF of the output of a model, conditioned on results
from previous runs and a user-specified prior linear model. The
package includes functionality to evaluate quadratic forms
efficiently.
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
approximator, BACCO, calibrator, cmvnorm |
| Reverse imports: |
BayesianTools, jordan, lorentz, multivator, onion, RobinCar, splmm |
| Reverse suggests: |
elliptic, stokes |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=emulator
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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