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 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.

Version: 1.2-15
Depends: R (≥ 3.0.1), mvtnorm
Published: 2014-09-08
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


Reference manual: emulator.pdf
Vignettes: Emulex: a cookbook for the emulator package
Package source: emulator_1.2-15.tar.gz
Windows binaries: r-devel: emulator_1.2-15.zip, r-release: emulator_1.2-15.zip, r-oldrel: emulator_1.2-15.zip
OS X El Capitan binaries: r-release: emulator_1.2-15.tgz
OS X Mavericks binaries: r-oldrel: emulator_1.2-15.tgz
Old sources: emulator archive

Reverse dependencies:

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


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