GMDH
1.6Short Term Forecasting via GMDH-Type Neural Network Algorithms
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Overview
About
Group method of data handling (GMDH) - type neural network algorithm is the heuristic self-organization method for modelling the complex systems. In this package, GMDH-type neural network algorithms are applied to make short term forecasting for a univariate time series.
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- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- Examples that run
- 100%
- Documented parameters
- 89%
- Return-value docs
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- References docs
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0 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.2.5
Imports (3)
MASSstatsutils
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Listed in earlier versions (2)
no longer listed · 1.0 to 1.6
no longer listed · 1.0 to 1.6
Package Timeline
7 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
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.6Latest
- 1.52016-05-05 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 1.42016-04-22 · diff ↗
- 1.32016-03-07 · diff ↗
- 1.22015-12-28 · diff ↗
Show 4 earlier events
- 1.12015-07-20 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 1.02014-11-26
- RR 3.1.0 released · 2014-04-10
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Package metadata
- First published
- 2014-11-26
- Total releases
- 7 / 12 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.2.5
- Bundled data
- 0.4 KB / 1 file
- Download size
- 6.1 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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