emulator (1.2-20)

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Bayesian Emulation of Computer Programs.

https://github.com/RobinHankin/emulator.git
http://cran.r-project.org/web/packages/emulator

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.

Maintainer: Robin Hankin
Author(s): Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)

License: GPL

Uses: mvtnorm, knitr
Reverse depends: approximator, BACCO, calibrator, cmvnorm, elliptic, lmmlasso, MM, VizCompX
Reverse suggests: elliptic

Released 9 months ago.


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