nnfor: Time Series Forecasting with Neural Networks

Contains functions to facilitate automatic time series modelling with neural networks. Allows fully automatic, semi-manual or fully manual specification of networks. For details of the specification methodology see: (i) Crone and Kourentzes (2010) <doi:10.1016/j.neucom.2010.01.017>; and (ii) Kourentzes et al. (2014) <doi:10.1016/j.eswa.2013.12.011>.

Version: 0.9.2
Depends: forecast
Imports: glmnet, neuralnet, plotrix, MASS
Suggests: thief
Published: 2017-12-11
Author: Nikolaos Kourentzes [aut, cre]
Maintainer: Nikolaos Kourentzes <nikolaos at kourentzes.com>
BugReports: https://github.com/trnnick/nnfor/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://kourentzes.com/forecasting/2017/02/10/forecasting-time-series-with-neural-networks-in-r/
NeedsCompilation: no
Materials: README NEWS
In views: TimeSeries
CRAN checks: nnfor results


Reference manual: nnfor.pdf
Package source: nnfor_0.9.2.tar.gz
Windows binaries: r-devel: nnfor_0.9.2.zip, r-release: nnfor_0.9.2.zip, r-oldrel: nnfor_0.9.2.zip
OS X El Capitan binaries: r-release: nnfor_0.9.2.tgz
OS X Mavericks binaries: r-oldrel: nnfor_0.9.2.tgz
Old sources: nnfor archive


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