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.

Package details

AuthorRobin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
MaintainerRobin K. S. Hankin <[email protected]>
LicenseGPL
Version1.2-20
URL https://github.com/RobinHankin/emulator.git
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("emulator")

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emulator documentation built on May 1, 2019, 10:52 p.m.