A computationally stable approach of fitting a Gaussian Process (GP) model to a deterministic simulator.
| Version: | 1.0-9 | 
| Imports: | lhs (≥ 0.5), lattice (≥ 0.18-8) | 
| Suggests: | testthat | 
| Published: | 2025-04-12 | 
| DOI: | 10.32614/CRAN.package.GPfit | 
| Author: | Blake MacDoanld [aut], Hugh Chipman [aut, cre], Chris Campbell [ctb], Pritam Ranjan [aut] | 
| Maintainer: | Hugh Chipman <hugh.chipman at acadiau.ca> | 
| License: | GPL-2 | 
| NeedsCompilation: | no | 
| Citation: | GPfit citation info | 
| Materials: | NEWS | 
| CRAN checks: | GPfit results | 
| Reference manual: | GPfit.html , GPfit.pdf | 
| Package source: | GPfit_1.0-9.tar.gz | 
| Windows binaries: | r-devel: GPfit_1.0-9.zip, r-release: GPfit_1.0-9.zip, r-oldrel: GPfit_1.0-9.zip | 
| macOS binaries: | r-release (arm64): GPfit_1.0-9.tgz, r-oldrel (arm64): GPfit_1.0-9.tgz, r-release (x86_64): GPfit_1.0-9.tgz, r-oldrel (x86_64): GPfit_1.0-9.tgz | 
| Old sources: | GPfit archive | 
| Reverse imports: | binaryGP, calibrateBinary, rBayesianOptimization, tune | 
| Reverse suggests: | mlr | 
Please use the canonical form https://CRAN.R-project.org/package=GPfit to link to this page.