EEMD Based LSTM Model for Time Series Forecasting R package EEMDlstm version 1.0.1 Forecasting univariate time series with ensemble empirical mode decomposition (EEMD) with long short-term memory (LSTM). For method details see Jaiswal, R. et al. (2022). <doi:10.1007/s00521-021-06621-3>. Software Depends: R (>= 2.10) Imports: keras, tensorflow, reticulate, tsutils, BiocGenerics, utils, graphics, magrittr,Rlibeemd, TSdeeplearning Ronit Jaiswal <ronitjaiswal2912@gmail.com> Comprehensive R Archive Network (CRAN) Kapil Choudhary [aut], Girish Kumar Jha [aut, ths, ctb], Ronit Jaiswal [ctb, cre], Rajeev Ranjan Kumar [ctb] GPL-3 2026-04-13 application/tgz https://CRAN.R-project.org/package=EEMDlstm doi:10.32614/CRAN.package.EEMDlstm