Package: audrex
Type: Package
Title: Automatic Dynamic Regression using Extreme Gradient Boosting
Version: 2.0.1
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Dynamic regression for time series using Extreme Gradient Boosting with hyper-parameter tuning via Bayesian Optimization or Random Search.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 4.1)
Imports: rBayesianOptimization (>= 1.2.0), xgboost (>= 1.4.1.1), purrr
        (>= 0.3.4), ggplot2 (>= 3.3.5), readr (>= 2.1.2), stringr (>=
        1.4.0), lubridate (>= 1.7.10), narray (>= 0.4.1.1), fANCOVA (>=
        0.6-1), imputeTS (>= 3.2), scales (>= 1.1.1), tictoc (>=
        1.0.1), modeest (>= 2.4.0), moments (>= 0.14), Metrics (>=
        0.1.4), parallel (>= 4.1.1), utils (>= 4.1.1), stats (>= 4.1.1)
URL: https://rpubs.com/giancarlo_vercellino/audrex
NeedsCompilation: no
Packaged: 2022-03-22 16:28:09 UTC; gvercellino
Repository: CRAN
Date/Publication: 2022-03-23 10:10:14 UTC
Built: R 4.2.0; ; 2022-04-13 13:39:29 UTC; unix
