iForecast: Machine Learning Time Series Forecasting

Compute both static onestep and iterative multistep time series forecasts of machine learning models.

Version: 1.0.6
Depends: R (≥ 3.5), caret
Imports: magrittr
Suggests: data.table, forecast, h2o, keras, kernlab, lubridate, tensorflow, tibble, timeSeries, timeDate, timetk, zoo
Published: 2022-07-09
Author: Ho Tsung-wu
Maintainer: Ho Tsung-wu <tsungwu at ntnu.edu.tw>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: iForecast results


Reference manual: iForecast.pdf


Package source: iForecast_1.0.6.tar.gz
Windows binaries: r-devel: iForecast_1.0.6.zip, r-release: iForecast_1.0.6.zip, r-oldrel: iForecast_1.0.6.zip
macOS binaries: r-release (arm64): iForecast_1.0.6.tgz, r-oldrel (arm64): iForecast_1.0.6.tgz, r-release (x86_64): iForecast_1.0.6.tgz, r-oldrel (x86_64): iForecast_1.0.6.tgz
Old sources: iForecast archive


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