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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 |
| Reference manual: | caretForecast.pdf |
| 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 imports: | WaveletETS, WaveletGBM, WaveletKNN, WaveletLSTM |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.