CRAN/E | audrex

audrex

Automatic Dynamic Regression using Extreme Gradient Boosting

Installation

About

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

rpubs.com/giancarlo_vercellino/audrex

Key Metrics

Version 2.0.1
R ≥ 4.1
Published 2022-03-23 736 days ago
Needs compilation? no
License GPL-3
CRAN checks audrex results

Downloads

Yesterday 12 +100%
Last 7 days 63 -11%
Last 30 days 271 -4%
Last 90 days 1.001 +25%
Last 365 days 3.538 -19%

Maintainer

Maintainer

Giancarlo Vercellino

giancarlo.vercellino@gmail.com

Authors

Giancarlo Vercellino

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

audrex archive

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