GMDH2: Binary Classification via GMDH-Type Neural Network Algorithm

Performs binary classification via Group Method of Data Handling (GMDH) - type neural network algorithm. 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 and 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. See Dag O. and Yozgatligil C. (2016, ISSN:2073-4859) and Kondo T. and Ueno J. (2016, ISSN:1349-4198) for the details of GMDH algorithms.

Version: 1.1
Depends: R (≥ 2.15.0)
Imports: e1071, utils, graphics, stats, randomForest, glmnet, nnet, MASS, plotly, magrittr, xtable
Suggests: mlbench
Published: 2018-04-14
Author: Osman Dag [aut, cre], Erdem Karabulut [aut], Reha Alpar [aut]
Maintainer: Osman Dag <osman.dag at hacettepe.edu.tr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: GMDH2 results

Downloads:

Reference manual: GMDH2.pdf
Package source: GMDH2_1.1.tar.gz
Windows binaries: r-devel: GMDH2_1.1.zip, r-release: GMDH2_1.1.zip, r-oldrel: GMDH2_1.1.zip
OS X binaries: r-release: GMDH2_1.1.tgz, r-oldrel: GMDH2_1.1.tgz
Old sources: GMDH2 archive

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