Package index • echos

Base functions

Functions and methods for basic time series forecasting

train_esn(): Train an Echo State Network

print(<esn>): Print model 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"

plot(<esn>): Plot internal states of a trained ESN model

forecast_esn(): Forecast an Echo State Network

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

plot(<forecast_esn>): Plot forecasts of a trained ESN model

run_reservoir: Run reservoir

Tidy functions

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

ESN(): Train an Echo State Network

forecast(<ESN>): Forecast an Echo State Network

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

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

model_sum(<ESN>): Model specification of a trained ESN model

tidy(<ESN>): Estimated coefficients

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

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

filter_esn(): Filter ESN models

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

Datasets

Datasets

m4_data: M4 dataset

synthetic_data: Synthetic data