Package: EMDSSAForecast
Type: Package
Title: Hybrid EMD-SSA Forecasting with Artificial Neural Networks for
        Time Series
Version: 0.1.0
Authors@R: 
    c(
      person("Prabhat", "Kumar",
             role = c("aut", "cre"),
             email = "prabhatkkv@gmail.com"),
      person("Girish Kumar", "Jha",
             role = "aut"),
      person("Rajeev Ranjan", "Kumar",
             role = "aut"),
      person("Santosha", "Rathod",
             role = "aut"),
      person("R N", "Singh",
             role = "aut")
    )
Description: 
    Implements a hybrid empirical mode decomposition, singular
    spectrum analysis, and artificial neural network forecasting
    framework for time series data. The framework extracts the trend
    from the first intrinsic mode function using singular spectrum
    analysis, forecasts the extracted trend and remaining
    decomposition components using artificial neural networks, and
    combines the component forecasts to obtain the final forecast.
     For methodological details, refer to Kumar et al. (2026)
    <doi:10.1007/s10791-026-10076-2>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rlibeemd, Rssa, neuralnet
Suggests: spelling, testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0
RoxygenNote: 7.3.3
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-05 05:11:16 UTC; Dr. Santosh Rathod
Author: Prabhat Kumar [aut, cre],
  Girish Kumar Jha [aut],
  Rajeev Ranjan Kumar [aut],
  Santosha Rathod [aut],
  R N Singh [aut]
Maintainer: Prabhat Kumar <prabhatkkv@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-15 17:00:24 UTC
