Changes in version 0.2.1 (2026-06-05)                  

  - compute_edge_pvalues() now clamps every returned p-value to the
    valid probability range [0, 1]. On platforms built without extended
    (long double) precision, exact tests such as fisher.test() can
    return a value fractionally greater than 1 due to floating-point
    rounding, which caused a test failure under CRAN's noLD check.
    (Reported by the CRAN team.)
  - Added a regression test that mocks the underlying test to return an
    out-of-range p-value, so the clamping is verified on every platform
    rather than only on noLD builds.

                 Changes in version 0.2.0 (2026-04-23)                  

  - Removed plot_graph_with_communities() and plot_graphs_grid() to
    streamline the API. The recommended plotting function is
    plot_critical_edges(), which produces a multi-panel visualisation of
    the analysis results.
  - Removed unused Suggests: ggplotify, gridExtra.
  - Removed unused imports: grDevices::rainbow, graphics::legend.

                 Changes in version 0.1.0 (2026-04-21)                  

  - Initial CRAN submission.
  - Implements the L1-distance ANOVA test for populations of brain
    networks of Fraiman and Fraiman (2018)
    doi:10.1038/s41598-018-21688-0.
  - Fast permutation procedure for identifying critical edges via a
    prefix-sum decomposition of the test statistic, reducing complexity
    from O(K * B * |E| * m) to O(B * |E| * m).
  - Helpers to generate synthetic community-structured graphs and to
    visualise brain networks with communities.