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. A vignette is provided and the help pages include examples.

Version: 1.2-20
Depends: R (≥ 3.0.1), mvtnorm
Suggests: knitr
Published: 2019-03-19
Author: Robin K. S. Hankin ORCID iD [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin at gmail.com>
BugReports: https://github.com/RobinHankin/emulator/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/RobinHankin/emulator.git
NeedsCompilation: no
Citation: emulator citation info
CRAN checks: emulator results


Reference manual: emulator.pdf
Vignettes: quadratic form tests
Emulex: a cookbook for the emulator package
Package source: emulator_1.2-20.tar.gz
Windows binaries: r-devel: emulator_1.2-20.zip, r-devel-gcc8: emulator_1.2-20.zip, r-release: emulator_1.2-20.zip, r-oldrel: emulator_1.2-20.zip
OS X binaries: r-release: emulator_1.2-20.tgz, r-oldrel: emulator_1.2-20.tgz
Old sources: emulator archive

Reverse dependencies:

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


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