EMDANNhybrid: Ensemble Machine Learning Hybrid Model

The researchers can use this package to fit Empirical Mode Decomposition and Artificial Neural Network based hybrid model for nonlinear and non stationary time series data.

Version:	0.1.0
Depends:	R (≥ 3.3.0), EMD, nnfor, forecast
Published:	2021-01-14
Author:	Pankaj Das [aut, cre], Achal Lama [aut], Girish Jha [aut]
Maintainer:	Pankaj Das <pankaj.das2 at icar.gov.in>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	EMDANNhybrid results

Documentation:

Reference manual:

EMDANNhybrid.pdf

Downloads:

Package source:	EMDANNhybrid_0.1.0.tar.gz
Windows binaries:	r-devel: EMDANNhybrid_0.1.0.zip, r-release: EMDANNhybrid_0.1.0.zip, r-oldrel: EMDANNhybrid_0.1.0.zip
macOS binaries:	r-release (arm64): EMDANNhybrid_0.1.0.tgz, r-oldrel (arm64): EMDANNhybrid_0.1.0.tgz, r-release (x86_64): EMDANNhybrid_0.1.0.tgz, r-oldrel (x86_64): EMDANNhybrid_0.1.0.tgz

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