nnfor: Time Series Forecasting with Neural Networks

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: 0.9.6
Depends: forecast
Imports: glmnet, neuralnet, plotrix, MASS, tsutils, uroot
Suggests: thief
Published: 2019-01-16
Author: Nikolaos Kourentzes [aut, cre]
Maintainer: Nikolaos Kourentzes <nikolaos at kourentzes.com>
BugReports: https://github.com/trnnick/nnfor/issues
License: GPL-3
URL: http://kourentzes.com/forecasting/2019/01/16/tutorial-for-the-nnfor-r-package/
NeedsCompilation: no
Materials: README NEWS
In views: TimeSeries
CRAN checks: nnfor results

Documentation:

Reference manual: nnfor.pdf

Downloads:

Package source: nnfor_0.9.6.tar.gz
Windows binaries: r-devel: nnfor_0.9.6.zip, r-release: nnfor_0.9.6.zip, r-oldrel: nnfor_0.9.6.zip
macOS binaries: r-release (arm64): nnfor_0.9.6.tgz, r-release (x86_64): nnfor_0.9.6.tgz, r-oldrel: nnfor_0.9.6.tgz
Old sources: nnfor archive

Reverse dependencies:

Reverse depends: EMDANNhybrid
Reverse imports: EEMDelm, mrf, MSGARCHelm, stlELM, stlTDNN

Linking:

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