Package: epicasting
Title: Ewnet: An Ensemble Wavelet Neural Network for Forecasting and
        Epicasting
Version: 0.1.0
Authors@R: c(
    person("Madhurima", "Panja", email = "madhurima.panja@gmail.com", role = "aut"),
    person("Tanujit", "Chakraborty", email = "tanujitisi@gmail.com", role = c("aut", "cre","cph")))
Author: Madhurima Panja [aut], Tanujit Chakraborty [aut, cre, cph]
Description: 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>
        <doi:10.1016/j.chaos.2023.113124>.
Maintainer: Tanujit Chakraborty <tanujitisi@gmail.com>
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: forecast, Metrics, stats, wavelets
Depends: datasets
Suggests: ggplot2
NeedsCompilation: no
Packaged: 2026-10-10 17:33:31 UTC; root
Repository: https://epiverse-connect.r-universe.dev
Date/Publication: 2023-03-22 08:40:02 UTC
RemoteUrl: https://github.com/cran/epicasting
RemoteRef: HEAD
RemoteSha: 65900cc614f7ae9fdd4361503b779ebb6b1ba799