Package: caretForecast Title: Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms Version: 0.1.1 Authors@R: person(given = "Resul", family = "Akay", role = c("aut", "cre"), email = "resulakay1@gmail.com") Description: 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. License: GPL (>= 3) URL: https://github.com/Akai01/caretForecast BugReports: https://github.com/Akai01/caretForecast/issues 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) Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.1 NeedsCompilation: no Packaged: 2022-10-23 19:55:14 UTC; akayr Author: Resul Akay [aut, cre] Maintainer: Resul Akay Repository: CRAN Date/Publication: 2022-10-24 07:05:25 UTC