emulator: Bayesian Emulation of Computer Programs (original) (raw)

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. The package includes functionality to evaluate quadratic forms efficiently.

Version:	1.2-24
Depends:	R (≥ 3.0.1), mvtnorm
Suggests:	knitr, rmarkdown
Published:	2024-03-22
DOI:	10.32614/CRAN.package.emulator
Author:	Robin K. S. Hankin [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
NeedsCompilation:	no
Citation:	emulator citation info
Materials:	README
CRAN checks:	emulator results

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