Package: audrex 3.0.0

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 [aut, cre, cph]

audrex_3.0.0.tar.gz
audrex_3.0.0.zip(r-4.7)audrex_3.0.0.zip(r-4.6)audrex_3.0.0.zip(r-4.5)
audrex_3.0.0.tgz(r-4.6-any)audrex_3.0.0.tgz(r-4.5-any)
audrex_3.0.0.tar.gz(r-4.7-any)audrex_3.0.0.tar.gz(r-4.6-any)
audrex_3.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
audrex/json (API)
NEWS

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

On CRAN:

Conda:

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

1.00 score 3 scripts 504 downloads 1 exports 49 dependencies

Last updated from:6915f4c520. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK212
source / vignettesOK165
linux-release-x86_64OK142
macos-release-arm64OK104
macos-oldrel-arm64OK100
windows-develOK111
windows-releaseOK115
windows-oldrelOK99
wasm-releaseOK423

Exports:audrex

Dependencies:clicolorspacecommonmarkcpp11curldata.tablefarverforecastfracdiffgenericsggplot2ggtextgluegridtextgtableimputeTSisobandjpegjsonlitelabelinglatticelifecyclelitedownlmtestmagrittrmarkdownMatrixnlmennetpngR6RColorBrewerRcppRcppArmadillorlangS7scalesstinepackstringistringrtimeDateurcavctrsviridisLitewithrxfunxgboostxml2zoo