GMDHreg
Regression using GMDH Algorithms
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.3 |
rolling source/ R- | GMDHreg_0.2.3.tar.gz |
22.6 KiB |
0.2.3 |
rolling linux/jammy R-4.5 | GMDHreg_0.2.3.tar.gz |
132.2 KiB |
0.2.3 |
rolling linux/noble R-4.5 | GMDHreg_0.2.3.tar.gz |
132.5 KiB |
0.2.3 |
latest source/ R- | GMDHreg_0.2.3.tar.gz |
22.6 KiB |
0.2.3 |
latest linux/jammy R-4.5 | GMDHreg_0.2.3.tar.gz |
132.2 KiB |
0.2.3 |
latest linux/noble R-4.5 | GMDHreg_0.2.3.tar.gz |
132.5 KiB |
0.2.3 |
2026-04-23 source/ R- | GMDHreg_0.2.3.tar.gz |
22.6 KiB |
0.2.3 |
2026-04-09 windows/windows R-4.5 | GMDHreg_0.2.3.zip |
135.6 KiB |
0.2.3 |
2025-04-20 source/ R- | GMDHreg_0.2.3.tar.gz |
22.6 KiB |