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stlARIMA

0.1.0

STL Decomposition and ARIMA Hybrid Forecasting Model

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test coverage
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Overview

About
Maintained by Ronit JaiswalFirst published 2021-08-161 releasesCRAN page ↗

Univariate time series forecasting with STL decomposition based auto regressive integrated moving average (ARIMA) 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
Slowest check: 2.0 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
1
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
100%
Documented parameters
100%
Return-value docs
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References docs
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (1)
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none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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0indirect

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Code & Tests

People & History

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Authors (2)
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Contributors (3)
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Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2021-08-16
Total releases
1 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
0.9 KB / 1 file
Download size
4.0 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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