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EEMDSVR  

Ensemble Empirical Mode Decomposition and Its Variant Based Support Vector Regression Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EEMDSVR", "0.1.0")



Attach the package and use:
library("EEMDSVR")
Maintained by
Pankaj Das
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-20
Latest Update: 2021-09-20
Description:
Application of Ensemble Empirical Mode Decomposition and its variant based Support Vector regression model for univariate time series forecasting. For method details see Das (2020)..
How to cite:
Pankaj Das (2021). EEMDSVR: Ensemble Empirical Mode Decomposition and Its Variant Based Support Vector Regression Model. R package version 0.1.0, https://cran.r-project.org/web/packages/EEMDSVR. Accessed 21 Sep. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for EEMDSVR
Functions, R codes and Examples using the EEMDSVR R package
Some associated functions: CEEMDSVR . EEMDSVR . 
Some associated R codes: CEEMDSVR.R . EEMDSVR.R .  Full EEMDSVR package functions and examples
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