R: Echo State Networks for Time Series Modeling and Forecasting

# Echo State Networks for Time Series Modeling and Forecasting

## Documentation for package ‘echos’ version 1.0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ESN | Train an Echo State Network
filter_esn | Filter ESN models
fitted.ESN | Extract fitted values from a trained ESN
forecast.ESN | Forecast an Echo State Network
forecast_esn | Forecast an Echo State Network
glance.ESN | Summary of trained models during random search
is.esn | Checks if object is of class "esn"
is.forecast_esn | Checks if object is of class "forecast_esn"
is.tune_esn | Checks if object is of class "tune_esn"
m4_data | M4 dataset
model_sum.ESN | Model specification of a trained ESN model
plot.esn | Plot internal states of a trained ESN model
plot.forecast_esn | Plot forecasts of a trained ESN model
plot.tune_esn | Plot forecasts from a tuned ESN object
print.esn | Print model specification of the trained ESN model
report.ESN | Provide a detailed summary of the trained ESN model
reservoir | Return the reservoir from a trained ESN as tibble
residuals.ESN | Extract residuals from a trained ESN
run_reservoir | Run reservoir
summary.esn | Provide a detailed summary of the trained ESN model
summary.tune_esn | Provide a summary of the hyperparameter tuning
synthetic_data | Synthetic data
tidy.ESN | Estimated coefficients
train_esn | Train an Echo State Network
tune_esn | Tune hyperparameters of an Echo State Network