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 userspecified prior linear model. A vignette is provided and the help pages include examples.
Package details 


Author  Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000000159820415>) 
Maintainer  Robin K. S. Hankin <[email protected]> 
License  GPL 
Version  1.220 
URL  https://github.com/RobinHankin/emulator.git 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.