epicasting: Ewnet: An Ensemble Wavelet Neural Network for Forecasting and Epicasting

Method and tool for generating time series forecasts using an ensemble wavelet-based auto-regressive neural network architecture. This method provides additional support of exogenous variables and also generates confidence interval. This package provides EWNet model for time series forecasting based on the algorithm by Panja, et al. (2022) and Panja, et al. (2023) <doi:10.48550/arXiv.2206.10696> <doi:10.1016/j.chaos.2023.113124>.

Version: 0.1.0
Depends: datasets
Imports: forecast, Metrics, stats, wavelets
Suggests: ggplot2
Published: 2023-03-22
Author: Madhurima Panja [aut], Tanujit Chakraborty [aut, cre, cph]
Maintainer: Tanujit Chakraborty <tanujitisi at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: epicasting results

Documentation:

Reference manual: epicasting.pdf

Downloads:

Package source: epicasting_0.1.0.tar.gz
Windows binaries: r-devel: epicasting_0.1.0.zip, r-release: epicasting_0.1.0.zip, r-oldrel: epicasting_0.1.0.zip
macOS binaries: r-release (arm64): epicasting_0.1.0.tgz, r-oldrel (arm64): epicasting_0.1.0.tgz, r-release (x86_64): epicasting_0.1.0.tgz

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