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CGGP

Composite Grid Gaussian Processes

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.

Versions across snapshots

VersionRepositoryFileSize
1.0.4 rolling linux/jammy R-4.5 CGGP_1.0.4.tar.gz 407.3 KiB
1.0.4 rolling linux/noble R-4.5 CGGP_1.0.4.tar.gz 410.3 KiB
1.0.4 rolling source/ R- CGGP_1.0.4.tar.gz 181.9 KiB
1.0.4 latest linux/jammy R-4.5 CGGP_1.0.4.tar.gz 407.3 KiB
1.0.4 latest linux/noble R-4.5 CGGP_1.0.4.tar.gz 410.3 KiB
1.0.4 latest source/ R- CGGP_1.0.4.tar.gz 181.9 KiB
1.0.4 2026-04-26 source/ R- CGGP_1.0.4.tar.gz 181.9 KiB
1.0.4 2026-04-23 source/ R- CGGP_1.0.4.tar.gz 181.9 KiB
1.0.4 2026-04-09 windows/windows R-4.5 CGGP_1.0.4.zip 727.9 KiB
1.0.4 2025-04-20 source/ R- CGGP_1.0.4.tar.gz 181.9 KiB

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