GauPro: Gaussian Process Fitting (original) (raw)
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: | 0.2.13 |
|---|---|
| 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: | 2024-09-26 |
| DOI: | 10.32614/CRAN.package.GauPro |
| Author: | Collin Erickson [aut, cre] |
| Maintainer: | Collin Erickson |
| 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 [issues need fixing before 2025-01-10] |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=GauProto link to this page.