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Regression using GMDH algorithms from Prof. Alexey G. Ivakhnenko. Group Method of Data Handling (GMDH), or polynomial neural networks, is a family of inductive algorithms that performs gradually complicated polynomial models and selecting the best solution by an external criterion. In other words, inductive GMDH algorithms give possibility finding automatically interrelations in data, and selecting an optimal structure of model or network. The package includes GMDH Combinatorial, GMDH MIA (Multilayered Iterative Algorithm), GMDH GIA (Generalized Iterative Algorithm) and GMDH Combinatorial with Active Neurons.
| Version: | 0.2.3 |
| Depends: | R (≥ 2.15) |
| Imports: | stats, utils |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-01-23 |
| Author: | Manuel Villacorta Tilve |
| Maintainer: | Manuel Villacorta Tilve <mvt.oviedo at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | GMDHreg results |
| Reference manual: | GMDHreg.pdf |
| Vignettes: |
GMDHreg: an R Package for GMDH Regression |
| Package source: | GMDHreg_0.2.3.tar.gz |
| Windows binaries: | r-devel: GMDHreg_0.2.3.zip, r-release: GMDHreg_0.2.3.zip, r-oldrel: GMDHreg_0.2.3.zip |
| macOS binaries: | r-release (arm64): GMDHreg_0.2.3.tgz, r-oldrel (arm64): GMDHreg_0.2.3.tgz, r-release (x86_64): GMDHreg_0.2.3.tgz, r-oldrel (x86_64): GMDHreg_0.2.3.tgz |
| Old sources: | GMDHreg archive |
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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.