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Multiple testing correction: conf_int() and summary() now support a multitest_method parameter (mimicking statsmodels) for controlling FDR/FWER. Adjusted p-values are returned as pvalue_adj.
Unified Group Importance: conf_int() now supports a groups argument to compute group-level feature importance with uncertainty, replacing the separate group_importance() logic (now deprecated).
Accepts groups as a dict of index lists, a 1-D label array, or a binary pandas.DataFrame indicator matrix (features may belong to multiple groups).
Optional null-feature thresholding (threshold_null=True) zeros out per-feature UEIFs with negative mean before aggregation.
Improved API Consistency: Renamed phi_hat to score in conf_int() output for better clarity.
Per-sample UEIFs (ueifs_X, ueifs_Z) are now stored as instance attributes after calling OTExplainer, EOTExplainer, and FlowExplainer, enabling downstream group aggregation.