Automatic time series modelling with neural networks. Allows fully automatic, semi-manual or fully manual specification of networks. For details of thespecification 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: | 0.9.9 |
| Depends: | generics |
| Imports: | forecast,glmnet,neuralnet,plotrix,MASS,tsutils,uroot, methods |
| Suggests: | thief |
| Published: | 2023-11-15 |
| DOI: | 10.32614/CRAN.package.nnfor |
| Author: | Nikolaos Kourentzes [aut, cre] |
| Maintainer: | Nikolaos Kourentzes <nikolaos at kourentzes.com> |
| BugReports: | https://github.com/trnnick/nnfor/issues |
| License: | GPL-3 |
| URL: | https://kourentzes.com/forecasting/2019/01/16/tutorial-for-the-nnfor-r-package/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| In views: | TimeSeries |
| CRAN checks: | nnfor results |
| Reference manual: | nnfor.html ,nnfor.pdf |
| Package source: | nnfor_0.9.9.tar.gz |
| Windows binaries: | r-devel:nnfor_0.9.9.zip, r-release:nnfor_0.9.9.zip, r-oldrel:nnfor_0.9.9.zip |
| macOS binaries: | r-release (arm64):nnfor_0.9.9.tgz, r-oldrel (arm64):nnfor_0.9.9.tgz, r-release (x86_64):nnfor_0.9.9.tgz, r-oldrel (x86_64):nnfor_0.9.9.tgz |
| Old sources: | nnfor archive |
| Reverse imports: | decompML,EEMDelm,hybridts,MSGARCHelm,stlELM,stlTDNN,tswge,VMDML,vmdTDNN |
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