emulator: Bayesian emulation of computer programs

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.

Version: 1.2-13
Depends: R (≥ 2.10), mvtnorm
Published: 2013-12-02
Author: Robin K. S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Citation: emulator citation info
CRAN checks: emulator results

Downloads:

Reference manual: emulator.pdf
Vignettes: Emulex: a cookbook for the emulator package
Package source: emulator_1.2-13.tar.gz
MacOS X binary: emulator_1.2-13.tgz
Windows binary: emulator_1.2-13.zip
Old sources: emulator archive

Reverse dependencies:

Reverse depends: approximator, BACCO, calibrator, lmmlasso, MM
Reverse imports: multivator
Reverse suggests: elliptic