Package: EEMDlstm 0.1.0

EEMDlstm: EEMD Based LSTM Model for Time Series Forecasting

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>.

Authors:Kapil Choudhary [aut, cre], Girish Kumar Jha [aut, ths, ctb], Ronit Jaiswal [ctb], Rajeev Ranjan Kumar [ctb]

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Last updated 2 years agofrom:a526c29d39. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:eemdLSTMemdLSTM

Dependencies:askpassbackportsbase64encBiocGenericsclicolorspaceconfigcurlfansifarverforecastfracdiffgenericsggplot2gluegreyboxgtableherehttrisobandjsonlitekeraslabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellnlmenloptrnnetopensslpillarpkgconfigplotrixpngpracmaprocessxpsquadprogquantmodR6rappdirsRColorBrewerRcppRcppArmadilloRcppTOMLreticulaterlangRlibeemdrprojrootrstudioapiscalessmoothstatmodsystensorflowtexregtfautographtfrunstibbletidyselecttimeDateTSdeeplearningtseriestsutilsTTRurcautf8vctrsviridisLitewhiskerwithrxtablextsyamlzeallotzoo