Package: GMDHreg 0.2.3

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.

Authors:Manuel Villacorta Tilve

GMDHreg_0.2.3.tar.gz
GMDHreg_0.2.3.zip(r-4.7)GMDHreg_0.2.3.zip(r-4.6)GMDHreg_0.2.3.zip(r-4.5)
GMDHreg_0.2.3.tgz(r-4.6-any)GMDHreg_0.2.3.tgz(r-4.5-any)
GMDHreg_0.2.3.tar.gz(r-4.7-any)GMDHreg_0.2.3.tar.gz(r-4.6-any)
GMDHreg_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GMDHreg/json (API)
NEWS

# Install 'GMDHreg' in R:
install.packages('GMDHreg', repos = c('https://mvt-oviedo.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 2 stars 6 scripts 199 downloads 4 exports 0 dependencies

Last updated from:68e27904f4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK105
source / vignettesOK149
linux-release-x86_64OK111
macos-release-arm64OK537
macos-oldrel-arm64OK153
windows-develOK84
windows-releaseOK83
windows-oldrelOK87
wasm-releaseOK92

Exports:gmdh.combigmdh.combi.twicegmdh.giagmdh.mia

Dependencies:

GMDHreg: an R Package for GMDH Regression

Manuel Villacorta Tilve

Rendered fromGMDHreg.Rmdusingknitr::rmarkdownon May 16 2026.

Last update: 2019-07-26
Started: 2019-07-26