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Probabilistic time series forecasting via Natural Gradient Boosting for Probabilistic Prediction.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.6), reticulate (≥ 1.20) |
| Imports: | dplyr (≥ 1.0.7), forecast (≥ 8.15), magrittr (≥ 2.0.1), R6 (≥ 2.5.1) |
| Suggests: | ggplot2 (≥ 3.3.5), testthat (≥ 3.0.0) |
| Published: | 2022-08-06 |
| DOI: | 10.32614/CRAN.package.ngboostForecast |
| Author: | Resul Akay [aut, cre] |
| Maintainer: | Resul Akay <resulakay1 at gmail.com> |
| BugReports: | https://github.com/Akai01/ngboostForecast/issues |
| License: | Apache License (≥ 2) |
| URL: | https://github.com/Akai01/ngboostForecast |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 3.6) |
| Materials: | README NEWS |
| CRAN checks: | ngboostForecast results |
| Reference manual: | ngboostForecast.pdf |
| Package source: | ngboostForecast_0.1.1.tar.gz |
| Windows binaries: | r-devel: ngboostForecast_0.1.1.zip, r-release: ngboostForecast_0.1.1.zip, r-oldrel: ngboostForecast_0.1.1.zip |
| macOS binaries: | r-release (arm64): ngboostForecast_0.1.1.tgz, r-oldrel (arm64): ngboostForecast_0.1.1.tgz, r-release (x86_64): ngboostForecast_0.1.1.tgz, r-oldrel (x86_64): ngboostForecast_0.1.1.tgz |
| Old sources: | ngboostForecast archive |
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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.