BrainNetTest 0.2.1

• 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.

BrainNetTest 0.2.0

• 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.

BrainNetTest 0.1.0

• 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.