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A computationally stable approach of fitting a Gaussian Process (GP) model to a deterministic simulator.
Version: | 1.0-8 |
Imports: | lhs (≥ 0.5), lattice (≥ 0.18-8) |
Suggests: | testthat |
Published: | 2019-02-08 |
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.pdf |
Package source: | GPfit_1.0-8.tar.gz |
Windows binaries: | r-devel: GPfit_1.0-8.zip, r-release: GPfit_1.0-8.zip, r-oldrel: GPfit_1.0-8.zip |
macOS binaries: | r-release (arm64): GPfit_1.0-8.tgz, r-oldrel (arm64): GPfit_1.0-8.tgz, r-release (x86_64): GPfit_1.0-8.tgz, r-oldrel (x86_64): GPfit_1.0-8.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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.