ngboostForecast: Probabilistic Time Series Forecasting

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
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

Documentation:

Reference manual: ngboostForecast.pdf

Downloads:

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_0.1.0.tgz, r-oldrel (arm64): ngboostForecast_0.1.0.tgz, r-release (x86_64): ngboostForecast_0.1.1.tgz, r-oldrel (x86_64): ngboostForecast_0.1.1.tgz
Old sources: ngboostForecast archive

Linking:

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