A Pure R implementation of Bayesian Global Optimization with Gaussian Processes.
| Version: | 1.2.0 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, utils, data.table (≥ 1.9.6), magrittr, foreach, GPfit |
| Suggests: | xgboost |
| Published: | 2021-06-17 |
| Author: | Yachen Yan [aut, cre] |
| Maintainer: | Yachen Yan <yanyachen21 at gmail.com> |
| BugReports: | https://github.com/yanyachen/rBayesianOptimization/issues |
| License: | GPL-2 |
| URL: | https://github.com/yanyachen/rBayesianOptimization |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | Optimization |
| CRAN checks: | rBayesianOptimization results |
| Reference manual: | rBayesianOptimization.pdf |
| Package source: | rBayesianOptimization_1.2.0.tar.gz |
| Windows binaries: | r-devel: rBayesianOptimization_1.2.0.zip, r-release: rBayesianOptimization_1.2.0.zip, r-oldrel: rBayesianOptimization_1.2.0.zip |
| macOS binaries: | r-release (arm64): rBayesianOptimization_1.2.0.tgz, r-oldrel (arm64): rBayesianOptimization_1.2.0.tgz, r-release (x86_64): rBayesianOptimization_1.2.0.tgz, r-oldrel (x86_64): rBayesianOptimization_1.2.0.tgz |
| Old sources: | rBayesianOptimization archive |
| Reverse imports: | audrex, DCLEAR, EDMeasure |
| Reverse suggests: | MachineShop |
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