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EEMDelm  

Ensemble Empirical Mode Decomposition and Its Variant Based ELM Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EEMDelm", "0.1.1")



Attach the package and use:
library("EEMDelm")
Maintained by
Girish Kumar Jha
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-14
Latest Update: 2022-08-09
Description:
Forecasting univariate time series with different decomposition based Extreme Learning Machine models. For method details see Yu L, Wang S, Lai KK (2008). , Parida M, Behera MK, Nayak N (2018). .
How to cite:
Girish Kumar Jha (2021). EEMDelm: Ensemble Empirical Mode Decomposition and Its Variant Based ELM Model. R package version 0.1.1, https://cran.r-project.org/web/packages/EEMDelm. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2021-01-14 09:50)
Other packages that cited EEMDelm R package
View EEMDelm citation profile
Other R packages that EEMDelm depends, imports, suggests or enhances
Complete documentation for EEMDelm
Functions, R codes and Examples using the EEMDelm R package
Some associated functions: CEEMDANelm . Data_Soybean . EEMDELM . EMDelm . 
Some associated R codes: CEEMDANelm.R . EEMDELM.R . EMDelm.R .  Full EEMDelm package functions and examples
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