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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:ee3675d74f. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 18 2025 |
| R-4.5-linux | OK | Mar 18 2025 |
| R-4.4-linux | OK | Mar 18 2025 |
Exports:VMDARIMAVMDELMVMDRFVMDSVRVMDTDNN
Dependencies:askpassclassclicodetoolscolorspacecurldata.tableDerive1071fansifarverforeachforecastfracdiffgenericsggplot2glmnetgluegreyboxgtablehttrisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMAPAMASSMatrixmgcvmimemunsellneuralnetnlmenloptrnnetnnforopensslpillarpkgconfigplotrixpracmaproxyquadprogquantmodR6randomForestRColorBrewerRcppRcppArmadilloRcppEigenrlangscalesshapesmoothstatmodsurvivalsystexregtibbletimeDatetseriestsutilsTTRurcaurootutf8vctrsviridisLiteVMDecompwithrxtablextszoo
