unravel.cluster_stats package#
- unravel.cluster_stats.fdr_range module
- unravel.cluster_stats.fdr module
- unravel.cluster_stats.fstat_sig_vx_mask module
- unravel.cluster_stats.recursively_mirror_rev_cluster_indices module
- unravel.cluster_stats.validation module
- unravel.cluster_stats.summary_config module
- unravel.cluster_stats.summary module
- unravel.cluster_stats.brain_model module
- unravel.cluster_stats.find_incongruent_clusters module
- unravel.cluster_stats.group_bilateral_data module
- unravel.cluster_stats.mean_IF module
- unravel.cluster_stats.legend module
- unravel.cluster_stats.org_data module
- unravel.cluster_stats.prism module
- unravel.cluster_stats.cstats module
- unravel.cluster_stats.stats_table module
- unravel.cluster_stats.sunburst module
- unravel.cluster_stats.sunburst_sort module
- unravel.cluster_stats.table module
- unravel.cluster_stats.crop module
- unravel.cluster_stats.index module
- unravel.cluster_stats.mean_IF_summary module
- Usage for cluster-only t-tests:
- Usage for cluster-region Dunnett tests:
- Usage with optional region LUT:
parse_args()significance_label()safe_filename()resolve_lut_path()load_region_lut()get_region_info()load_all_data()perform_t_tests()perform_dunnett()safe_col_name()write_dunnett_wide_csv()perform_tukey()add_group_summary_columns()run_stats()prepare_plot_df()add_significance_bars()get_pair_df()summarize_pair()plot_data()main()
- unravel.cluster_stats.clusters module
- unravel.cluster_stats.reshape module
- unravel.cluster_stats.effect_sizes package