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eemdARIMA: EEMD Based Auto Regressive Integrated Moving Average Model

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
DOI: 10.32614/CRAN.package.eemdARIMA
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

Documentation:

Reference manual: eemdARIMA.pdf

Downloads:

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

Linking:

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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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