emulator : Bayesian emulation of computer programs

Package: emulator
Type: Package
Title: Bayesian emulation of computer programs
Version: 1.2-15
Date: 10 January 2014
Author: Robin K. S. Hankin
Depends: R (>= 3.0.1), mvtnorm
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Description:
This package 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. A
working example is given in the help page for function `interpolant()',
which should be the first point of reference.
License: GPL
Packaged: 2014-09-08 03:51:21 UTC; rhankin
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-08 06:58:23