Ensemble Empirical Mode Decomposition and Its Variant Based ELM Model
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Maintained by Girish Kumar JhaCRAN page ↗
Forecasting univariate time series with different decomposition based Extreme Learning Machine models. For method details see Yu L, Wang S, Lai KK (2008). doi:10.1016/j.eneco.2008.05.003, Parida M, Behera MK, Nayak N (2018). doi:10.1109/ICSESP.2018.8376723.
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- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
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In release 0.1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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- Exported functions with examples
- 100%
- Documented parameters
- 92%
- Return-value docs
- 100%
- Help pages citing references
- 100%
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- RR 4.6.0 released · 2026-04-24
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- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
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- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-01-14
- RR 4.0.0 released · 2020-04-24
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Package metadata
- First published
- 2021-01-14
- Total releases
- 2 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.1 KB / 1 file
- Download size
- 6.2 KB
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