Package: EEMDlstm
Type: Package
Title: EEMD Based LSTM Model for Time Series Forecasting
Version: 1.0.1
Authors@R: 
  c(person(given = "Kapil",
         family = "Choudhary",
         role = c("aut")),
  person(given = "Girish Kumar",
         family = "Jha",
         role =  c("aut", "ths", "ctb")),
  person(given = "Ronit",
         family = "Jaiswal",
         role = c("ctb","cre"),
         email = "ronitjaiswal2912@gmail.com"),
  person(given = "Rajeev Ranjan ",
         family = "Kumar",
         role =  c( "ctb")))
Maintainer: Ronit Jaiswal <ronitjaiswal2912@gmail.com>
Description: 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>. 
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: keras, tensorflow, reticulate, tsutils, BiocGenerics, utils,
        graphics, magrittr,Rlibeemd, TSdeeplearning
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-04-13 10:28:07 UTC; kapil
Author: Kapil Choudhary [aut],
  Girish Kumar Jha [aut, ths, ctb],
  Ronit Jaiswal [ctb, cre],
  Rajeev Ranjan Kumar [ctb]
Repository: CRAN
Date/Publication: 2026-04-13 15:00:08 UTC
Built: R 4.6.0; ; 2026-04-26 02:56:43 UTC; unix
