Changes in version 2.0.1 (2025-12-03)                  

  - Minor bug fix related to the exportation of S3 methods (autoplot,
    predict).
  - Minor corrections in documentation

                 Changes in version 2.0.0 (2025-10-08)                  

  - Major update with expanded flexibility, improved diagnosis tools,
    and uncertainty quantification.
  - Additional distribution families: now supports poisson in addition
    to gaussian and binomial.
  - Per-term architecture configuration: hyperparameters (units,
    activation, learning rate, initializers, regularizers) can now be
    set per smooth term inside s().
  - Confidence Intervals (CI):
      - uncertainty_method argument allows estimation of epistemic
        uncertainty.
      - Intervals integrated into predict() and autoplot().
  - Cross-validation support: new validation_split parameter for
    monitoring validation losses during training.
  - Training diagnostics: new plot_history() function for visualizing
    training/validation loss curves per term and per backfitting
    iteration.
  - Improved summary(): displays per-term configuration, layer
    architectures, linear coefficients, and compact training history.
  - Diagnosis plots: new diagnose() function which provides a 2×2
    diagnostic panel.
  - Autoplot enhancements: ggplot2-based diagnostic and effect plots
    with support for CI ribbons, per-term inspection, and factor vs
    continuous term visualization.
  - Testing: expanded test coverage for new families, CI estimation,
    plotting, and per-term configuration.
  - Internal refactoring:
      - Clean separation of deviance and link functions per family.
      - Consistent handling of sample weights.
      - Improved numerical stability (clamping in
        log/exp/probabilities).

                 Changes in version 1.1.1 (2024-04-19)                  

  - verbose parameter is now used along all the required functions.

  - Tensorflow and Keras are now loaded when library(neuralGAM) is
    invoked for the first time, and therefore the first run of the
    neuralGAM() function has all the required packages ready.

                 Changes in version 1.1.0 (2023-09-20)                  

  - Initial CRAN submission.