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VMDML  

Variational Mode Decomposition Based Machine Learning Models
View on CRAN: Click here


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

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

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



Attach the package and use:
library("VMDML")
Maintained by
Pankaj Das
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-09
Latest Update: 2023-08-27
Description:
Application of Variational Mode Decomposition based different Machine Learning models for univariate time series forecasting. For method details see (i) K. Dragomiretskiy and D. Zosso (2014) <doi:10.1109/TSP.2013.2288675>; (ii)Pankaj Das (2020) <http://krishi.icar.gov.in/jspui/handle/123456789/44138>.
How to cite:
Pankaj Das (2022). VMDML: Variational Mode Decomposition Based Machine Learning Models. R package version 0.1.1, https://cran.r-project.org/web/packages/VMDML. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:29), 0.1.0 (2022-08-09 14:30)
Other packages that cited VMDML R package
View VMDML citation profile
Other R packages that VMDML depends, imports, suggests or enhances
Complete documentation for VMDML
Functions, R codes and Examples using the VMDML R package
Some associated functions: VMDARIMA . VMDRF . VMDSVR . VMDTDNN . 
Some associated R codes: VMDARIMA.R . VMDRF.R . VMDSVR.R . VMDTDNN.R .  Full VMDML package functions and examples
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