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stlELM

0.1.1

Hybrid Forecasting Model Based on STL Decomposition and ELM

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Overview

About
Maintained by Girish Kumar JhaFirst published 2021-02-222 releasesCRAN page ↗

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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Code health
None
Tests · ratio 0.00
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Coverage
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  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (2)
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none
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none
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none
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indirect (not tracked)

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Code

104Lines of code
1Exported functions

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People & History

People (4)
Maintainer (1)
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Authors (1)
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Contributors (2)
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Release timeline

2 releases. Pick two to compare their code metrics; R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.1Latest
    2022-08-09 · current release
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0
    2021-02-22

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