VMD Based Time Delay Neural Network Model
Overview
Forecasting univariate time series with Variational Mode Decomposition (VMD) based time delay neural network models.For method details see Konstantin, D.and Dominique, Z. (2014). doi:10.1109/TSP.2013.2288675.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 4
- Examples that run
- 25%1 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing vmdTDNN adds 56 packages (31 with compiled code, 48 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, smooth 3.4 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- unarchivedReturned to CRAN2022-08-08
- 0.1.1Latest
- RR 4.2.0 released · 2022-04-22
- archivedRemoved from CRAN2022-04-04'coercion to logical' errors were not corrected in time
- 0.1.02022-02-17
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-02-17
- Total releases
- 2 / 4 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.3 KB / 1 file
- Download size
- 6.3 KB
Cite
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