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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 |
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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.
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