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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "epicasting" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'epicasting: Ewnet: An Ensemble Wavelet Neural Network for Forecasting and
  Epicasting'
version: 0.1.0
doi: 10.32614/CRAN.package.epicasting
abstract: 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) <arXiv:2206.10696> <https://doi.org/10.1016/j.chaos.2023.113124>.
authors:
- family-names: Panja
  given-names: Madhurima
  email: madhurima.panja@gmail.com
- family-names: Chakraborty
  given-names: Tanujit
  email: tanujitisi@gmail.com
repository: https://epiverse-connect.r-universe.dev
commit: 65900cc614f7ae9fdd4361503b779ebb6b1ba799
date-released: '2023-03-22'
contact:
- family-names: Chakraborty
  given-names: Tanujit
  email: tanujitisi@gmail.com