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 binaries: | r-release: nnfor_0.9.2.tgz, r-oldrel: nnfor_0.9.2.tgz |
| Old sources: | nnfor archive |
Please use the canonical form https://CRAN.R-project.org/package=nnfor to link to this page.