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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "EMDSSAForecast" in publications use:'
type: software
license: MIT
title: 'EMDSSAForecast: Hybrid EMD-SSA Forecasting with Artificial Neural Networks
  for Time Series'
version: 0.1.0
abstract: 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) <https://doi.org/10.1007/s10791-026-10076-2>.
authors:
- family-names: Kumar
  given-names: Prabhat
  email: prabhatkkv@gmail.com
- family-names: Jha
  given-names: Girish Kumar
- family-names: Kumar
  given-names: Rajeev Ranjan
- family-names: Rathod
  given-names: Santosha
- family-names: Singh
  given-names: R N
repository: https://cran.r-universe.dev
commit: 3aded3aa5af7bab40fef9b89621d92eec18e4d5a
date-released: '2026-10-15'
contact:
- family-names: Kumar
  given-names: Prabhat
  email: prabhatkkv@gmail.com