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.


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Reference manual

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install.packages("CGGP")

1.0.1 by Collin Erickson, a month ago


https://github.com/CollinErickson/CGGP


Report a bug at https://github.com/CollinErickson/CGGP/issues


Browse source code at https://github.com/cran/CGGP


Authors: Collin Erickson [aut, cre] , Matthew Plumlee [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp

Suggests testthat, covr, ggplot2, reshape2, plyr, MASS, knitr

Linking to Rcpp, RcppArmadillo


See at CRAN