Introducing BACCO, an R package for Bayesian analysis of computer code output
نویسنده
چکیده
An earlier version of this document was published as Hankin (2005). This paper introduces the BACCO package of R routines for carrying out Bayesian analysis of computer code output. The package requires three packages of related functionality: emulator and calibrator, and approximator, computerized implementations of the ideas of Oakley and O’Hagan (2002), Kennedy and O’Hagan (2001a), and Kennedy and O’Hagan (2000) respectively. The package is self-contained and fully documented R code, and includes a toy dataset that furnishes a working example of the functions. Package emulator carries out Bayesian emulation of computer code output; package calibrator allows the incorporation of observational data into model calibration using Bayesian techniques. The package is then applied to a dataset taken from climate science.
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