Package: CGGP 1.0.4.9000
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.
Authors:
CGGP_1.0.4.9000.tar.gz
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CGGP.pdf |CGGP.html✨
CGGP/json (API)
NEWS
# Install 'CGGP' in R: |
install.packages('CGGP', repos = c('https://collinerickson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/collinerickson/cggp/issues
Last updated 10 months agofrom:51db6eba82. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win-x86_64 | OK | Nov 20 2024 |
R-4.5-linux-x86_64 | OK | Nov 20 2024 |
R-4.4-win-x86_64 | OK | Nov 20 2024 |
R-4.4-mac-x86_64 | OK | Nov 20 2024 |
R-4.4-mac-aarch64 | OK | Nov 20 2024 |
R-4.3-win-x86_64 | OK | Nov 20 2024 |
R-4.3-mac-x86_64 | OK | Nov 20 2024 |
R-4.3-mac-aarch64 | OK | Nov 20 2024 |
Exports:CGGP_internal_calcMSECGGP_internal_calcMSEdeCGGP_internal_calcpwCGGP_internal_calcpwanddpwCGGP_internal_CorrMatCauchyCGGP_internal_CorrMatCauchySQCGGP_internal_CorrMatCauchySQTCGGP_internal_CorrMatGaussianCGGP_internal_CorrMatMatern32CGGP_internal_CorrMatMatern52CGGP_internal_CorrMatPowerExpCGGP_internal_CorrMatWendland0CGGP_internal_CorrMatWendland1CGGP_internal_CorrMatWendland2CGGP_internal_gneglogpostCGGP_internal_MSEpredcalcCGGP_internal_neglogpostCGGP_internal_set_corrCGGPappendCGGPcreateCGGPfitCGGPplotblocksCGGPplotblockselectionCGGPplotcorrCGGPplotheatCGGPplothistCGGPplotsamplesneglogpostCGGPplotsliceCGGPplotthetaCGGPplotvariogramCGGPpredCGGPvalplotCGGPvalstatsrcpp_fastmatclcrrcpp_fastmatclcranddclcrrcpp_gkronDBSrcpp_kronDBSvalplotvalstats
Dependencies:RcppRcppArmadillo