Variational Mode Decomposition Based Machine Learning Models

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) ; (ii) Pankaj Das (2020) < http://krishi.icar.gov.in/jspui/handle/123456789/44138>.

Reference manual

install.packages("VMDML")

0.1.1 by Pankaj Das, 3 years ago

Browse source code at https://github.com/cran/VMDML

Authors: Pankaj Das [aut, cre] , Girish Kumar Jha [aut] , Tauqueer Ahmad [aut] , Achal Lama [aut] , Lampros Mouselimis [cph]

Documentation: PDF Manual

MIT + file LICENSE license

Imports VMDecomp, forecast, e1071, randomForest, nnfor

Suggests knitr, rmarkdown, testthat

See at CRAN

VMDML

Variational Mode Decomposition Based Machine Learning Models

Reference manual

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug