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Forecasting time series with different decomposition based ARIMA models. For method details see Yu L, Wang S, Lai KK (2008). <doi:10.1016/j.eneco.2008.05.003>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | forecast, Rlibeemd |
| Published: | 2022-01-25 |
| Author: | Rajeev Ranjan Kumar [aut, cre], Girish Kumar Jha [aut, ths, ctb], Kapil Choudhary [aut, ctb], Ronit Jaiswal [ctb] |
| Maintainer: | Rajeev Ranjan Kumar <rrk.uasd at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | eemdARIMA results |
| Reference manual: | eemdARIMA.pdf |
| Package source: | eemdARIMA_0.1.0.tar.gz |
| Windows binaries: | r-devel: eemdARIMA_0.1.0.zip, r-release: eemdARIMA_0.1.0.zip, r-oldrel: eemdARIMA_0.1.0.zip |
| macOS binaries: | r-release (arm64): eemdARIMA_0.1.0.tgz, r-oldrel (arm64): eemdARIMA_0.1.0.tgz, r-release (x86_64): eemdARIMA_0.1.0.tgz, r-oldrel (x86_64): eemdARIMA_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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