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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 |
| 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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