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 (not for Windows), and 'Rcpp' has been used to speed up calculations. Other R packages that perform similar calculations include 'laGP', 'DiceKriging', 'GPfit', and 'mlegp'.
| Version: | 0.2.4 |
| Imports: | Rcpp, R6, lbfgs |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, rmarkdown, microbenchmark, numDeriv, MASS |
| Published: | 2021-04-11 |
| Author: | Collin Erickson |
| 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 |
| Package source: | GauPro_0.2.4.tar.gz |
| Windows binaries: | r-devel: GauPro_0.2.4.zip, r-release: GauPro_0.2.4.zip, r-oldrel: GauPro_0.2.4.zip |
| macOS binaries: | r-release (arm64): GauPro_0.2.4.tgz, r-oldrel (arm64): GauPro_0.2.4.tgz, r-release (x86_64): GauPro_0.2.4.tgz, r-oldrel (x86_64): GauPro_0.2.4.tgz |
| Old sources: | GauPro archive |
| Reverse suggests: | IGP |
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