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
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
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

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