audrex: Automatic Dynamic Regression using Extreme Gradient Boosting

Dynamic regression for time series using Extreme Gradient Boosting with hyper-parameter tuning via Bayesian Optimization.

Version: 1.0.1
Depends: R (≥ 3.6)
Imports: rBayesianOptimization, xgboost, purrr, abind, ggplot2, readr, stringr, lubridate, narray, fANCOVA, imputeTS, scales, tictoc, modeest, moments
Published: 2021-08-18
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: audrex results


Reference manual: audrex.pdf


Package source: audrex_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): audrex_1.0.1.tgz, r-release (x86_64): audrex_1.0.1.tgz, r-oldrel: audrex_1.0.1.tgz
Old sources: audrex archive


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