Package: VMDML
Type: Package
Title: Variational Mode Decomposition Based Machine Learning Models
Version: 0.1.1
Authors@R: c(person("Pankaj", "Das", role = c("aut","cre"),email="pankaj.das2@icar.gov.in"), 
        person("Girish", "Kumar Jha", role = "aut",email="grish.stat@gmail.com"),
        person("Tauqueer", "Ahmad", role = "aut",email="Tauqueer.Ahmad@icar.gov.in"),
        person("Achal", "Lama", role = "aut",email="achal.lama@icar.gov.in"),
        person("Lampros", "Mouselimis", email = "mouselimislampros@gmail.com", role = "cph"))
Author: Pankaj Das [aut, cre], Girish Kumar Jha [aut], Tauqueer Ahmad
        [aut], Achal Lama [aut], Lampros Mouselimis [cph]
Maintainer: Pankaj Das <pankaj.das2@icar.gov.in>
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>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: VMDecomp,forecast, e1071, randomForest, nnfor
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-06-14 06:34:35 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2023-08-27 18:30:29 UTC
RemoteUrl: https://github.com/cran/VMDML
RemoteRef: HEAD
RemoteSha: ee3675d74f60f6bccf62164440ffdf8feba85b84