Package: emulator
Type: Package
Title: Bayesian emulation of computer programs
Version: 1.2-12
Date: 28 June 2009
Author: Robin K. S. Hankin
Depends: R (>= 2.10), 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 a-posteriori 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: 2013-02-11 03:17:19 UTC; rksh
Repository: CRAN
Date/Publication: 2013-02-11 06:57:22

Package: emulator
Type: Package
Title: Bayesian emulation of computer programs
Version: 1.2-13
Date: 28 June 2009
Author: Robin K. S. Hankin
Depends: R (>= 2.10), 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 a-posteriori
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: 2013-12-02 19:15:57 UTC; rhankin
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-02 21:30:19