caretForecast: Conformal Time Series Forecasting Using State of Art Machine Learning 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:	0.1.3
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:	2026-02-01
DOI:	10.32614/CRAN.package.caretForecast
Author:	Resul Akay [aut, cre]
Maintainer:	Resul Akay <resul.akay at taf-society.org>
BugReports:	https://github.com/taf-society/caretForecast/issues
License:	GPL (≥ 3)
URL:	https://taf-society.github.io/caretForecast/, https://github.com/taf-society/caretForecast
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	caretForecast results

Documentation:

Reference manual:

caretForecast.html , caretForecast.pdf

Downloads:

Package source:	caretForecast_0.1.3.tar.gz
Windows binaries:	r-devel: caretForecast_0.1.3.zip, r-release: caretForecast_0.1.3.zip, r-oldrel: caretForecast_0.1.3.zip
macOS binaries:	r-release (arm64): caretForecast_0.1.3.tgz, r-oldrel (arm64): caretForecast_0.1.3.tgz, r-release (x86_64): caretForecast_0.1.3.tgz, r-oldrel (x86_64): caretForecast_0.1.3.tgz
Old sources:	caretForecast archive

Reverse dependencies:

Reverse imports:

WaveletETS, WaveletGBM, WaveletKNN, WaveletLSTM

Linking:

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