Hybrid EMD-SSA Forecasting with Artificial Neural Networks for Time Series R package EMDSSAForecast version 0.1.0 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>. Software Imports: Rlibeemd, Rssa, neuralnet Suggests: spelling, testthat (>= 3.0.0) Prabhat Kumar <prabhatkkv@gmail.com> Comprehensive R Archive Network (CRAN) Prabhat Kumar [aut, cre], Girish Kumar Jha [aut], Rajeev Ranjan Kumar [aut], Santosha Rathod [aut], R N Singh [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=EMDSSAForecast/LICENSE) 2026-10-15 application/tgz https://CRAN.R-project.org/package=EMDSSAForecast doi:10.32614/CRAN.package.EMDSSAForecast en-US