emulator: Bayesian Emulation of Computer Programs
Version 1.2-17

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
Date of publication2018-05-17 04:14:33 UTC
MaintainerRobin K. S. Hankin <[email protected]>
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:

Try the emulator package in your browser

Any scripts or data that you put into this service are public.

emulator documentation built on May 17, 2018, 9:03 a.m.