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caretForecast: Conformal Time Series Forecasting Using State of Art MachineLearning Algorithms

Conformal time series forecasting using the caret infrastructure. It provides access to state-of-the-art machine learning models for forecasting applications. The hyperparameter of each model is selected based on time series cross-validation, and forecasting is done recursively.

Version:0.1.1
Depends:R (≥ 3.6)
Imports:forecast (≥ 8.15),caret (≥ 6.0.88),magrittr (≥ 2.0.1), methods (≥ 4.1.1),dplyr (≥ 1.0.9),generics (≥ 0.1.3)
Suggests:Cubist (≥ 0.3.0),knitr (≥ 1.29),testthat (≥ 2.3.2)
Published:2022-10-24
DOI:10.32614/CRAN.package.caretForecast
Author:Resul Akay [aut, cre]
Maintainer:Resul Akay <resulakay1 at gmail.com>
BugReports:https://github.com/Akai01/caretForecast/issues
License:GPL (≥ 3)
URL:https://github.com/Akai01/caretForecast
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:caretForecast results

Documentation:

Reference manual:caretForecast.html ,caretForecast.pdf

Downloads:

Package source: caretForecast_0.1.1.tar.gz
Windows binaries: r-devel:caretForecast_0.1.1.zip, r-release:caretForecast_0.1.1.zip, r-oldrel:caretForecast_0.1.1.zip
macOS binaries: r-release (arm64):caretForecast_0.1.1.tgz, r-oldrel (arm64):caretForecast_0.1.1.tgz, r-release (x86_64):caretForecast_0.1.1.tgz, r-oldrel (x86_64):caretForecast_0.1.1.tgz
Old sources: caretForecast archive

Reverse dependencies:

Reverse imports:WaveletETS,WaveletGBM,WaveletKNN,WaveletLSTM

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=caretForecastto link to this page.


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