The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 0.1.1 |
| Imports: | VMDecomp, forecast, e1071, randomForest, nnfor |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2023-08-27 |
| Author: | Pankaj Das [aut, cre], Girish Kumar Jha [aut], Tauqueer Ahmad [aut], Achal Lama [aut], Lampros Mouselimis [cph] |
| Maintainer: | Pankaj Das <pankaj.das2 at icar.gov.in> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | VMDML results |
| Reference manual: | VMDML.pdf |
| Vignettes: |
VMDML |
| Package source: | VMDML_0.1.1.tar.gz |
| Windows binaries: | r-devel: VMDML_0.1.1.zip, r-release: VMDML_0.1.1.zip, r-oldrel: VMDML_0.1.1.zip |
| macOS binaries: | r-release (arm64): VMDML_0.1.1.tgz, r-oldrel (arm64): VMDML_0.1.1.tgz, r-release (x86_64): VMDML_0.1.1.tgz, r-oldrel (x86_64): VMDML_0.1.1.tgz |
| Old sources: | VMDML archive |
Please use the canonical form https://CRAN.R-project.org/package=VMDML to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.