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EMDSSAForecast  

Hybrid EMD-SSA Forecasting with Artificial Neural Networks for Time Series
View on CRAN: Click here


Download and install EMDSSAForecast package within the R console
Install from CRAN:
install.packages("EMDSSAForecast")

Install from Github:
library("remotes")
install_github("cran/EMDSSAForecast")

Install by package version:
library("remotes")
install_version("EMDSSAForecast", "0.1.0")



Attach the package and use:
library("EMDSSAForecast")
Maintained by
Prabhat Kumar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-10-15
Latest Update: 2026-10-15
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>.
How to cite:
Prabhat Kumar (2026). EMDSSAForecast: Hybrid EMD-SSA Forecasting with Artificial Neural Networks for Time Series. R package version 0.1.0, https://cran.r-project.org/web/packages/EMDSSAForecast. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for EMDSSAForecast
Functions, R codes and Examples using the EMDSSAForecast R package
Full EMDSSAForecast package functions and examples
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