stlELM
0.1.1Hybrid Forecasting Model Based on STL Decomposition and ELM
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Overview
About
Univariate time series forecasting with STL decomposition based Extreme Learning Machine hybrid model. For method details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.
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Health
CRAN checks
13OK
Code health
None
Tests · ratio 0.00
not tracked
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100%
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Also on93 r2u10 autocran
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Dependencies
Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
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Code
104Lines of code
1Exported functions
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People & History
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Release timeline
2 releases. Pick two to compare their code metrics; R releases are shown for context.
- 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
- 0.1.1Latest2022-08-09 · current release
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-02-22
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Package metadata
- First published
- 2021-02-22
- Total releases
- 2 / 5 yrs
- License
- GPL-3 OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet