This package 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 working example is given in the help page for function `interpolant()', which should be the first point of reference.
Package details 


Author  Robin K. S. Hankin 
Date of publication  20140908 06:58:23 
Maintainer  Robin K. S. Hankin <[email protected]> 
License  GPL 
Version  1.215 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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