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 hacettepe.edu.tr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
In views:	TimeSeries
CRAN checks:	GMDH results

Documentation:

Reference manual:

GMDH.pdf

Downloads:

Package source:	GMDH_1.6.tar.gz
Windows binaries:	r-devel: GMDH_1.6.zip, r-release: GMDH_1.6.zip, r-oldrel: GMDH_1.6.zip
macOS binaries:	r-release (arm64): GMDH_1.6.tgz, r-oldrel (arm64): GMDH_1.6.tgz, r-release (x86_64): GMDH_1.6.tgz, r-oldrel (x86_64): GMDH_1.6.tgz
Old sources:	GMDH archive

Reverse dependencies:

Reverse suggests:

forecastHybrid

Linking:

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