Package: EEMDlstm Type: Package Title: EEMD Based LSTM Model for Time Series Forecasting Version: 0.1.0 Authors@R: c(person(given = "Kapil", family = "Choudhary", role = c("aut", "cre"), email = "kapiliasri@gmail.com"), person(given = "Girish Kumar", family = "Jha", role = c("aut", "ths", "ctb")), person(given = "Ronit", family = "Jaiswal", role = c( "ctb")), person(given = "Rajeev Ranjan ", family = "Kumar", role = c( "ctb"))) Maintainer: Kapil Choudhary 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). . License: GPL-3 Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.1 Imports: keras, tensorflow, reticulate, tsutils, BiocGenerics, utils, graphics, magrittr,Rlibeemd, TSdeeplearning Depends: R (>= 2.10) NeedsCompilation: no Packaged: 2022-09-24 01:11:19 UTC; kapil Author: Kapil Choudhary [aut, cre], Girish Kumar Jha [aut, ths, ctb], Ronit Jaiswal [ctb], Rajeev Ranjan Kumar [ctb] Repository: CRAN Date/Publication: 2022-09-26 12:30:02 UTC