Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms R package caretForecast version 0.1.3 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. Software 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) Resul Akay <resul.akay@taf-society.org> Comprehensive R Archive Network (CRAN) Resul Akay [aut, cre] GPL (>= 3) 2026-02-01 application/tgz https://CRAN.R-project.org/package=caretForecast doi:10.32614/CRAN.package.caretForecast