| nnfor-package | nnfor: Time Series Forecasting with Neural Networks |
| compare_backends | Compare network backends |
| elm | Extreme learning machines for time series forecasting |
| elm.fast | ELM (fast) neural network |
| elm.thief | ELM network for THieF |
| forecast.elm | Forecast using ELM neural network |
| forecast.mlp | Forecast using MLP neural network |
| linscale | Apply minmax linear scaling to a vector |
| mlp | Multilayer Perceptron for time series forecasting |
| mlp.thief | MLP network for THieF |
| nnfor | nnfor: Time Series Forecasting with Neural Networks |
| nnfor_map | Map of how information flows through nnfor |
| plot.elm | Plot ELM network |
| plot.elm.fast | Plot ELM (fast) fit |
| plot.forecast.net | Plot forecasts of a network |
| plot.mlp | Plot MLP network |
| plot.nnfor_comparison | Compare network backends |
| plot.nnfor_map | Plot or print a map of nnfor |
| plot_fit | Plot the in-sample fit of a network |
| plot_network | Plot the architecture of a network |
| predict.elm.fast | Predictions for ELM (fast) network |
| print.nnfor_comparison | Compare network backends |
| print.nnfor_map | Plot or print a map of nnfor |