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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.
| Version: | 1.6 |
| Depends: | R (≥ 3.2.5) |
| Imports: | MASS, stats, utils |
| Published: | 2016-09-20 |
| Author: | Osman Dag, Ceylan Yozgatligil |
| Maintainer: | Osman Dag <osman.dag at hacettepe.edu.tr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | TimeSeries |
| CRAN checks: | GMDH results |
| Reference manual: | GMDH.pdf |
| Package source: | GMDH_1.6.tar.gz |
| Windows binaries: | r-devel: GMDH_1.6.zip, r-release: GMDH_1.6.zip, r-oldrel: GMDH_1.6.zip |
| macOS binaries: | r-release (arm64): GMDH_1.6.tgz, r-oldrel (arm64): GMDH_1.6.tgz, r-release (x86_64): GMDH_1.6.tgz, r-oldrel (x86_64): GMDH_1.6.tgz |
| Old sources: | GMDH archive |
| Reverse suggests: | forecastHybrid |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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