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 <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 [issues need fixing before 2025-01-10] |