GMDH: Short Term Forecasting via GMDH-Type Neural Network Algorithms

Group method of data handling (GMDH) - type neural network algorithm is the heuristic self-organization method for modelling the complex systems. In this package, GMDH-type neural network algorithms are applied to make short term forecasting for a univariate time series.

Version: 1.6
Depends: R (≥ 3.2.5)
Imports: MASS, stats, utils
Published: 2016-09-20
Author: Osman Dag, Ceylan Yozgatligil
Maintainer: Osman Dag <osman.dag at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: TimeSeries
CRAN checks: GMDH results


Reference manual: GMDH.pdf
Package source: GMDH_1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: GMDH_1.6.tgz
OS X Mavericks binaries: r-oldrel: GMDH_1.6.tgz
Old sources: GMDH archive

Reverse dependencies:

Reverse suggests: forecastHybrid


Please use the canonical form to link to this page.