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GMDHreg  

Regression using GMDH Algorithms
View on CRAN: Click here


Download and install GMDHreg package within the R console
Install from CRAN:
install.packages("GMDHreg")

Install from Github:
library("remotes")
install_github("cran/GMDHreg")

Install by package version:
library("remotes")
install_version("GMDHreg", "0.2.3")



Attach the package and use:
library("GMDHreg")
Maintained by
Manuel Villacorta Tilve
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-07
Latest Update: 2024-01-23
Description:
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.
How to cite:
Manuel Villacorta Tilve (2019). GMDHreg: Regression using GMDH Algorithms. R package version 0.2.3, https://cran.r-project.org/web/packages/GMDHreg. Accessed 09 Oct. 2026.
Previous versions and publish date:
0.1.0 (2019-03-07 18:32), 0.2.0 (2019-07-26 10:10), 0.2.1 (2020-08-02 03:32), 0.2.2 (2021-07-05 14:30), (2026-07-09 08:05)
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Complete documentation for GMDHreg
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