Empirical Mode Decomposition Based Artificial Neural Network Model R package EMDANNhybrid version 0.2.0 Application of empirical mode decomposition based artificial neural network model for nonlinear and non stationary univariate time series forecasting. For method details see (i) Choudhury (2019) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=55&issue=1&article=013>; (ii) Das (2020) <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=56&issue=2&article=002>. Software Depends: EMD,forecast Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Pankaj Das <pankaj.das2@icar.gov.in> Comprehensive R Archive Network (CRAN) Pankaj Das [aut, cre] (ORCID: <https://orcid.org/0000-0003-1672-2502>), Achal Lama [aut], Girish Kumar Jha [aut] GPL-3 2023-09-14 application/tgz https://CRAN.R-project.org/package=EMDANNhybrid doi:10.32614/CRAN.package.EMDANNhybrid