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:
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