Variational Mode Decomposition Based Machine Learning Models
Overview
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.
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Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
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- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
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- Help pages citing references
- 100%
- VMDML HTML
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Dependencies
Installing VMDML adds 59 packages (34 with compiled code, 49 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, smooth 3.4 MB.
Code & Tests
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.1Latest
- RR 4.3.0 released · 2023-04-21
- 0.1.02022-08-09
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-08-09
- Total releases
- 2 / 4 yrs
- License
- MIT + file LICENSE OSI · relicensed from GPL-3 in 0.1.1
- Download size
- 14 KB
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