Package: VMDML 0.1.1

Pankaj Das

VMDML: 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) <doi:10.1109/TSP.2013.2288675>; (ii) Pankaj Das (2020) <http://krishi.icar.gov.in/jspui/handle/123456789/44138>.

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

VMDML_0.1.1.tar.gz
VMDML_0.1.1.tar.gz(r-4.5-noble)VMDML_0.1.1.tar.gz(r-4.4-noble)
VMDML_0.1.1.tgz(r-4.4-emscripten)VMDML_0.1.1.tgz(r-4.3-emscripten)
VMDML.pdf |VMDML.html
VMDML/json (API)

# Install 'VMDML' in R:
install.packages('VMDML', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 3 scripts 160 downloads 5 exports 77 dependencies

Last updated 1 years agofrom:ee3675d74f. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 18 2024
R-4.5-linuxOKDec 18 2024

Exports:VMDARIMAVMDELMVMDRFVMDSVRVMDTDNN

Dependencies:askpassclassclicodetoolscolorspacecurldata.tableDerive1071fansifarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellneuralnetnlmenloptrnnetnnforopensslpillarpkgconfigplotrixpracmaproxyquadprogquantmodR6randomForestRColorBrewerRcppRcppArmadilloRcppEigenrlangscalesshapesmoothstatmodsurvivalsystexregtibbletimeDatetseriestsutilsTTRurcaurootutf8vctrsviridisLiteVMDecompwithrxtablextszoo

VMDML

Rendered fromVMDML.Rmdusingknitr::rmarkdownon Dec 18 2024.

Last update: 2023-08-27
Started: 2023-08-27