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Run computer experiments using the adaptive composite grid algorithm with a Gaussian process model. The algorithm works best when running an experiment that can evaluate thousands of points from a deterministic computer simulation. This package is an implementation of a forthcoming paper by Plumlee, Erickson, Ankenman, et al. For a preprint of the paper, contact the maintainer of this package.

Type Size Name Uploaded Downloads Labels
conda 624.2 kB | linux-64/r-cggp-1.0.3-r43h884c59f_0.tar.bz2  1 year and 1 month ago 22 main
conda 628.2 kB | linux-64/r-cggp-1.0.3-r42h884c59f_0.tar.bz2  2 years and 7 months ago 56 main
conda 437.3 kB | win-64/r-cggp-1.0.1-r36h796a38f_0.tar.bz2  4 years and 11 months ago 60 main
conda 420.6 kB | osx-64/r-cggp-1.0.1-r36h466af19_0.tar.bz2  4 years and 11 months ago 17 main
conda 424.1 kB | linux-64/r-cggp-1.0.1-r36h29659fb_0.tar.bz2  4 years and 11 months ago 59 main

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