Dynamic regression for time series using Extreme Gradient Boosting with hyper-parameter tuning via Bayesian Optimization or Random Search.
| Version: | 3.0.0 |
| Depends: | R (≥ 4.1) |
| Imports: | xgboost (≥ 3.1.2.1), imputeTS (≥ 3.4), graphics (≥ 4.5.1), grDevices (≥ 4.5.1) |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-01-07 |
| DOI: | 10.32614/CRAN.package.audrex |
| Author: | Giancarlo Vercellino [aut, cre, cph] |
| Maintainer: | Giancarlo Vercellino <giancarlo.vercellino at gmail.com> |
| License: | GPL-3 |
| URL: | https://rpubs.com/giancarlo_vercellino/audrex |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | audrex results |
| Reference manual: | audrex.html , audrex.pdf |
| Package source: | audrex_3.0.0.tar.gz |
| Windows binaries: | r-devel: audrex_2.0.1.zip, r-release: audrex_3.0.0.zip, r-oldrel: audrex_2.0.1.zip |
| macOS binaries: | r-release (arm64): audrex_3.0.0.tgz, r-oldrel (arm64): audrex_2.0.1.tgz, r-release (x86_64): audrex_3.0.0.tgz, r-oldrel (x86_64): audrex_2.0.1.tgz |
| Old sources: | audrex archive |
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