Package index • echos

Base functions

Functions and methods for basic time series forecasting

train_esn(): Train an Echo State Network

print(<esn>): Print specification of the trained ESN model

summary(<esn>): Provide a detailed summary of the trained ESN model

is.esn(): Checks if object is of class "esn"

forecast_esn(): Forecast a trained Echo State Network

is.forecast_esn(): Checks if object is of class "forecast_esn"

plot(<forecast_esn>): Plot point forecasts and actuals of a trained ESN model.

run_reservoir: Run reservoir

Tidy functions

Functions and methods in tidy time series forecasting (“fable framework”)

ESN(): Automatic train an Echo State Network

forecast(<ESN>): Forecast a trained ESN

fitted(<ESN>): Extract fitted values from a trained ESN

residuals(<ESN>): Extract residuals from a trained ESN

model_sum(<ESN>): Provide a succinct summary of a trained ESN

tidy(<ESN>): Estimated coefficients

glance(<ESN>): Summary of trained models during random search

report(<ESN>): Provide a detailed summary of the trained ESN model

reservoir(): Return the reservoir from a trained ESN as tibble

Miscellaneous

Miscellaneous

m4_data: M4 dataset