stlTDNN
0.1.0STL Decomposition and TDNN Hybrid Time Series Forecasting
0packages depend
1.9Kdownloads / year
–test coverage
12/13checks pass
Overview
About
Implementation of hybrid STL decomposition based time delay neural network model for univariate time series forecasting. For method details see Jha G K, Sinha, K (2014). doi:10.1007/s00521-012-1264-z, Xiong T, Li C, Bao Y (2018). doi:10.1016/j.neucom.2017.11.053.
Install
Health
CRAN checks
1NOTE12OK
Failing flavors
- NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.4 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- 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
Documentation
Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 50%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
Downloads
1.9K
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14930 days
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1.9K1 year
Also on94 r2u1 autocran
Dependencies
Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
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none
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none
Enhances (0)
none
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0indirect
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Code & Tests
People & History
People (4)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author, Contributor
Contributors (3)
Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2021-02-24
- Total releases
- 1 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.3 KB / 1 file
- Download size
- 4.4 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet