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ffaframework 0.1.1

• 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.

ffaframework 0.1.0

• 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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.