Package: audrex 2.0.1

audrex: Automatic Dynamic Regression using Extreme Gradient Boosting

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

Authors:Giancarlo Vercellino

audrex_2.0.1.tar.gz
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audrex.pdf |audrex.html✨
audrex/json (API)
NEWS

# Install 'audrex' in R:
install.packages('audrex', repos = c('https://pigian.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 237 downloads 1 exports 97 dependencies

Last updated 3 years agofrom:7ae3287a01. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winNOTEOct 25 2024
R-4.4-macNOTEOct 25 2024
R-4.3-winNOTEOct 25 2024
R-4.3-macNOTEOct 25 2024

Exports:audrex

Dependencies:bitbit64clicliprclueclustercodetoolscolorspacecommonmarkcpp11crayoncurldata.tablefANCOVAfansifarverfBasicsforeachforecastfracdiffgenericsggplot2ggtextglueGPfitgridtextgssgtablehmsimputeTSisobanditeratorsjpegjsonlitelabelinglatticelhslifecyclelmtestlubridatemagrittrmarkdownMASSMatrixMetricsmgcvmodeestmomentsmunsellnarraynlmennetpillarpkgconfigpngprettyunitsprogresspurrrquadprogquantmodR6rBayesianOptimizationRColorBrewerRcppRcppArmadilloreadrrlangrmutilrpartscalesspatialstablestablediststatipstinepackstringistringrtibbletictoctidyselecttimechangetimeDatetimeSeriestseriesTTRtzdburcautf8vctrsviridisLitevroomwithrxfunxgboostxml2xtszoo