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 gmail.com>
License:	GPL-3
URL:	https://rpubs.com/giancarlo_vercellino/audrex
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	audrex results

Documentation:

Reference manual:

audrex.pdf

Downloads:

Package source:	audrex_1.0.1.tar.gz
Windows binaries:	r-devel: audrex_1.0.1.zip, r-release: audrex_1.0.1.zip, r-oldrel: audrex_1.0.1.zip
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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