Bayesian Emulation of Computer Programs R package emulator version 1.2-24 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. The package includes functionality to evaluate quadratic forms efficiently. Software Depends: R (>= 3.0.1), mvtnorm Suggests: knitr,rmarkdown Robin K. S. Hankin <hankin.robin@gmail.com> Comprehensive R Archive Network (CRAN) Robin K. S. Hankin [aut, cre] (ORCID: <https://orcid.org/0000-0001-5982-0415>) GPL 2024-03-22 application/tgz https://CRAN.R-project.org/package=emulator doi:10.32614/CRAN.package.emulator