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EEMDlstm  

EEMD Based LSTM Model for Time Series Forecasting
View on CRAN: Click here


Download and install EEMDlstm package within the R console
Install from CRAN:
install.packages("EEMDlstm")

Install from Github:
library("remotes")
install_github("cran/EEMDlstm")

Install by package version:
library("remotes")
install_version("EEMDlstm", "1.0.1")



Attach the package and use:
library("EEMDlstm")
Maintained by
Kapil Choudhary
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-26
Latest Update: 2022-09-26
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). .
How to cite:
Kapil Choudhary (2022). EEMDlstm: EEMD Based LSTM Model for Time Series Forecasting. R package version 1.0.1, https://cran.r-project.org/web/packages/EEMDlstm. Accessed 12 Jun. 2026.
Previous versions and publish date:
0.1.0 (2022-09-26 14:30)
Other packages that cited EEMDlstm R package
View EEMDlstm citation profile
Other R packages that EEMDlstm depends, imports, suggests or enhances
Complete documentation for EEMDlstm
Functions, R codes and Examples using the EEMDlstm R package
Some associated functions: Data_Maize . eemdLSTM . emdLSTM . 
Some associated R codes: eemdLSTM.R . emdLSTM.R .  Full EEMDlstm package functions and examples
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