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

Documentation:

Reference manual:

iForecast.pdf

Downloads:

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

Linking:

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