Changes in version 1.0.3 (2026-02-21)                  

New features

  - Added reservoir scaling parameter tau to train_esn(), enabling
    dynamic control of reservoir size.
  - Added tune_esn() to tune hyperparameters alpha, rho and tau via time
    series cross-validation (i.e., rolling forecasts).
  - Added S3 methods summary.tune_esn() and plot.tune_esn() to summarize
    and visualize results from hyperparameter tuning.

Bug fixes

  - Fixed train_esn() so n_initial is only auto-set when NULL.

Improvements

  - Added input validation for y and inf_crit in train_esn() and levels
    in forecast_esn().
  - Improved documentation

                 Changes in version 1.0.2 (2025-06-23)                  

New features

  - Added forecast intervals to forecast_esn(), forecast.ESN() and
    plot.forecast_esn(). Forecast intervals are generated by simulating
    future sample path based on a moving block bootstrap of the
    residuals and estimating the quantiles from the simulations.
  - Added plot.esn() to visualize the internal states (i.e., the
    reservoir).
  - Added filter_esn() to extract ESN models from a mable.
  - Added synthetic_data, a dataset with synthetic time series data as
    tibble.

Improvements

  - Improved documentation
  - Added unit tests
  - Reduced dependencies

                 Changes in version 1.0.1 (2025-02-11)                  

  - Updates due to CRAN comments

                        Changes in version 1.0.0                        

  - Initial CRAN submission