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: 2026-10-15 20:34:38 UTC; root
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: https://cran.r-universe.dev
Date/Publication: 2026-10-15 17:00:24 UTC
RemoteUrl: https://github.com/cran/EMDSSAForecast
RemoteRef: HEAD
RemoteSha: 3aded3aa5af7bab40fef9b89621d92eec18e4d5a