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Compute static, onestep and multistep time series forecasts for machine learning models.
| Version: | 1.0.7 |
| Depends: | R (≥ 3.5), caret |
| Imports: | magrittr |
| Suggests: | data.table, forecast, h2o, keras, kernlab, lubridate, tensorflow, tibble, timeSeries, timeDate, timetk, zoo |
| Published: | 2023-07-01 |
| 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_1.0.7.tar.gz |
| Windows binaries: | r-devel: iForecast_1.0.7.zip, r-release: iForecast_1.0.7.zip, r-oldrel: iForecast_1.0.7.zip |
| macOS binaries: | r-release (arm64): iForecast_1.0.7.tgz, r-oldrel (arm64): iForecast_1.0.7.tgz, r-release (x86_64): iForecast_1.0.7.tgz, r-oldrel (x86_64): iForecast_1.0.7.tgz |
| Old sources: | iForecast 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.
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