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audrex  

Automatic Dynamic Regression using Extreme Gradient Boosting
View on CRAN: Click here


Download and install audrex package within the R console
Install from CRAN:
install.packages("audrex")

Install from Github:
library("remotes")
install_github("cran/audrex")

Install by package version:
library("remotes")
install_version("audrex", "3.0.0")



Attach the package and use:
library("audrex")
Maintained by
Giancarlo Vercellino
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-28
Latest Update: 2022-03-23
Description:
Dynamic regression for time series using Extreme Gradient Boosting with hyper-parameter tuning via Bayesian Optimization or Random Search.
How to cite:
Giancarlo Vercellino (2021). audrex: Automatic Dynamic Regression using Extreme Gradient Boosting. R package version 3.0.0, https://cran.r-project.org/web/packages/audrex. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:19), 1.0.0 (2021-04-28 15:30), 1.0.1 (2021-08-18 20:10), 2.0.0 (2022-03-21 07:20), 2.0.1 (2022-03-23 11:10)
Other packages that cited audrex R package
View audrex citation profile
Other R packages that audrex depends, imports, suggests or enhances
Complete documentation for audrex
Functions, R codes and Examples using the audrex R package
Some associated functions: audrex . bitcoin_gold_oil . climate_anomalies . covid_in_europe . engine . 
Some associated R codes: audrex.R . data1.R . data2.R . data3.R . main.R . support.R .  Full audrex package functions and examples
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