Fits a Gaussian process model to data. Gaussian processes are commonly used in computer experiments to fit an interpolating model. The model is stored as an 'R6' object and can be easily updated with new data. There are options to run in parallel, and 'Rcpp' has been used to speed up calculations. For more info about Gaussian process software, see Erickson et al. (2018) <doi:10.1016/j.ejor.2017.10.002>.
Version: 0.2.15 Depends: mixopt (> 0.1.0), numDeriv, rmarkdown, tidyr Imports: ggplot2, Rcpp, R6, lbfgs LinkingTo: Rcpp, RcppArmadillo Suggests: ContourFunctions, dplyr, ggrepel, gridExtra, knitr, lhs, MASS, microbenchmark, rlang, splitfngr, testthat Published: 2025-04-08 DOI: 10.32614/CRAN.package.GauPro Author: Collin Erickson [aut, cre] Maintainer: Collin Erickson <collinberickson at gmail.com> BugReports: https://github.com/CollinErickson/GauPro/issues License: GPL-3 URL: https://github.com/CollinErickson/GauPro NeedsCompilation: yes Materials: README NEWS CRAN checks: GauPro results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=GauPro to link to this page.
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