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eemdTDNN: EEMD and Its Variant Based Time Delay Neural Network Model

Forecasting univariate time series with different decomposition based time delay neural network 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: 2021-01-19
DOI: 10.32614/CRAN.package.eemdTDNN
Author: Kapil Choudhary [aut, cre], Girish Kumar Jha [aut, ths, ctb], Rajeev Ranjan Kumar [aut, ctb], Ronit Jaiswal [ctb]
Maintainer: Kapil Choudhary <choudharykapil832 at gmail.com>
License: GPL-3
NeedsCompilation: no
In views: Agriculture
CRAN checks: eemdTDNN results

Documentation:

Reference manual: eemdTDNN.pdf

Downloads:

Package source: eemdTDNN_0.1.0.tar.gz
Windows binaries: r-devel: eemdTDNN_0.1.0.zip, r-release: eemdTDNN_0.1.0.zip, r-oldrel: eemdTDNN_0.1.0.zip
macOS binaries: r-release (arm64): eemdTDNN_0.1.0.tgz, r-oldrel (arm64): eemdTDNN_0.1.0.tgz, r-release (x86_64): eemdTDNN_0.1.0.tgz, r-oldrel (x86_64): eemdTDNN_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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