Changes in version 0.9.3 (2026-09-11)                  

  - Made the power-law reference test portable to R builds without
    long-double support by allowing the observed one-unit difference in
    the final decimal of the bootstrap alpha standard deviation. This
    change affects only the test tolerance; the statistical
    implementation is unchanged.
  - Reduced the number of bootstrap simulations in the executable
    rif_compute() documentation example from 50 to 10, keeping the
    example representative while providing sufficient margin below
    CRAN's requested five-second execution limit.

                 Changes in version 0.9.2 (2026-08-20)                  

  - Added a namespace-safe, reproducible manual bootstrap engine and
    made it the default across the fitting and workflow APIs.
  - Deprecated bootstrap_engine = "poweRlaw" and engine = "poweRlaw";
    these options are retained for compatibility and are planned for
    removal in version 1.0.0.
  - Standardized the Z1, Z2, and Z3 workflow arguments on save_plots and
    plot_dpi.
  - Deprecated the Z3 arguments save and dpi in favor of save_plots and
    plot_dpi; the aliases are planned for removal in version 1.0.0.
  - Updated the Z3 workflow so that plots are not saved by default
    (save_plots = FALSE) and renamed its plot export argument from
    formats to plot_formats, consistently with the Z1 and Z2 workflows.
  - Increased the default PNG export resolution to 600 DPI.
  - Added complete Excel exports for power-law analyses. When Z2 is run
    from prepared data, it now produces an analysis workbook for each
    input group containing the original data, MLE-KS estimates,
    bootstrap results and p-values, the combined MLE-KS/bootstrap
    summary, and the individual bootstrap simulations.
  - Extended and tested these Excel exports for datasets both with a
    single default type and with multiple values in the Type variable;
    bootstrap simulations from multi-type analyses are identified by
    type in the exported workbook.
  - Made the package vignettes self-contained by using the example
    datasets distributed with the package.
  - Normalized the multi-type example data to portable ASCII text.