Changes in version 0.1.1 (2025-08-29)                  

  - Add support for report generation using serialized plots.

Bug Fixes

  - Fix error on CRAN by using generate_report = FALSE during testing of
    framework_* functions.
  - plot_*_estimates now displays confidence intervals generated using
    custom return periods.
  - framework_full now works properly when a custom report_path is
    provided.

                 Changes in version 0.1.0 (2025-08-25)                  

  - Run EDA, FFA, or both using the framework_* high-level wrapper
    functions.
  - Use the eda_* functions to explore annual maximum series data for
    evidence of nonstationarity and inform approach selection (S-FFA or
    NS-FFA). This includes detecting statistically significant change
    points and temporal trends (in both the mean and variability).
  - Use the select_* functions to choose a suitable probability
    distribution using the L-moments.
  - Use the fit_* functions to estimate parameters for a given
    distribution and modelling approach.
  - Use the uncertainty_* functions to quantify uncertainty by computing
    confidence intervals.
  - Use the model_assessment function to evaluate model performance
    using a variety of metrics.

Additional utility functions for visualization and computation are also
available:

  - data_* functions load, transform, and decompose annual maximum
    series data.
  - plot_* functions produce diagnostic and summary plots.
  - utils_* functions implement distribution-specific computations.