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emulator

Bayesian Emulation of Computer Programs

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.

Versions across snapshots

VersionRepositoryFileSize
1.2-24 rolling linux/jammy R-4.5 emulator_1.2-24.tar.gz 323.7 KiB
1.2-24 rolling linux/noble R-4.5 emulator_1.2-24.tar.gz 323.5 KiB
1.2-24 rolling source/ R- emulator_1.2-24.tar.gz 214.7 KiB
1.2-24 latest linux/jammy R-4.5 emulator_1.2-24.tar.gz 323.7 KiB
1.2-24 latest linux/noble R-4.5 emulator_1.2-24.tar.gz 323.5 KiB
1.2-24 latest source/ R- emulator_1.2-24.tar.gz 214.7 KiB
1.2-24 2026-04-26 source/ R- emulator_1.2-24.tar.gz 214.7 KiB
1.2-24 2026-04-23 source/ R- emulator_1.2-24.tar.gz 214.7 KiB
1.2-24 2026-04-09 windows/windows R-4.5 emulator_1.2-24.zip 327.2 KiB
1.2-24 2025-04-20 source/ R- emulator_1.2-24.tar.gz 214.7 KiB

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