# Time
series modelling with neural networks for R: nnfor package

Development repository for the nnfor package for R. Stable version
available on CRAN.

## Installing

To install the development version use:

```
if (!require("devtools")){install.packages("devtools")}
devtools::install_github("trnnick/nnfor")
```

Otherwise, install the stable version from CRAN:

`install.packages("nnfor")`

## Tutorial

You can find a tutorial on using nnfor for time series forecasting here.

## Author

Nikolaos Kourentzes - (http://nikolaos.kourentzes.com/)

## References

- For an introduction to neural networks see for time series
forecasting see: Ord K., Fildes R., Kourentzes N. (2017) Principles
of Business Forecasting 2e. Wessex Press Publishing Co., Chapter
10.
- For ensemble combination operators see: Kourentzes N., Barrow B.K.,
Crone S.F. (2014) Neural
network ensemble operators for time series forecasting. Expert
Systems with Applications, 41(9), 4235-4244.
- For variable selection see: Crone S.F., Kourentzes N. (2010) Feature
selection for time series prediction – A combined filter and wrapper
approach for neural networks. Neurocomputing, 73(10),
1923-1936.

## License

This project is licensed under the GPL3 License

*Happy forecasting!*