Package: EMDANNhybrid 0.2.0

Pankaj Das

EMDANNhybrid: Empirical Mode Decomposition Based Artificial Neural Network Model

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>.

Authors:Pankaj Das [aut, cre], Achal Lama [aut], Girish Kumar Jha [aut]

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Exports:EMDANNhybrid

Dependencies:clicolorspacecurldotCall64EMDfansifarverfieldsforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestlocfitmagrittrmapsMASSMatrixmgcvmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalesspamtibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo