Package: GMDH2 1.8

GMDH2: Binary Classification via GMDH-Type Neural Network Algorithms

Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithms. There exist two main algorithms available in GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH algorithm for a binary response and returns important variables. dceGMDH() performs classification via diverse classifiers ensemble based on GMDH (dce-GMDH) algorithm. Also, the package produces a well-formatted table of descriptives for a binary response. Moreover, it produces confusion matrix, its related statistics and scatter plot (2D and 3D) with classification labels of binary classes to assess the prediction performance. All 'GMDH2' functions are designed for a binary response (Dag et al., 2019, <https://download.atlantis-press.com/article/125911202.pdf>).

Authors:Osman Dag [aut, cre], Erdem Karabulut [aut], Reha Alpar [aut], Merve Kasikci [ctb]

GMDH2_1.8.tar.gz
GMDH2_1.8.zip(r-4.7)GMDH2_1.8.zip(r-4.6)GMDH2_1.8.zip(r-4.5)
GMDH2_1.8.tgz(r-4.6-any)GMDH2_1.8.tgz(r-4.5-any)
GMDH2_1.8.tar.gz(r-4.7-any)GMDH2_1.8.tar.gz(r-4.6-any)
GMDH2_1.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
GMDH2/json (API)

# Install 'GMDH2' in R:
install.packages('GMDH2', repos = c('https://osmandag.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.

1.32 score 1 stars 21 scripts 199 downloads 6 exports 80 dependencies

Last updated from:cc1996c8d9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK164
source / vignettesOK232
linux-release-x86_64OK179
macos-release-arm64OK117
macos-oldrel-arm64OK302
windows-develOK111
windows-releaseOK120
windows-oldrelOK112
wasm-releaseOK127

Exports:confMatcplot2dcplot3ddceGMDHGMDHTable

Dependencies:askpassbase64encbslibcachemclassclicodetoolscpp11crosstalkcurldata.tabledigestdplyre1071evaluatefarverfastmapfontawesomeforeachfsgenericsggplot2glmnetgluegtablehighrhtmltoolshtmlwidgetshttrisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemimennetopensslotelpillarpkgconfigplotlypromisesproxypurrrR6randomForestrappdirsRColorBrewerRcppRcppEigenrlangrmarkdownS7sassscalesshapestringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml