0.0.6

• zscore and ranking output fields: conf_int() now always returns zscore (signed z-statistic (score − margin) / se) and ranking (integer rank by descending z-score, 1 = most important) for all targets and group modes.
• summary() docstring: full NumPy-style docstring added, documenting all forwarded conf_int() parameters including 0.0.5-introduced groups and multitest_method.
• Crossfitting enhancements: new cv_kwargs and y_test parameters; improved sklearn estimator detection; null-threshold logic in fold aggregation.
• FlowMatchingModel improvements: dequantize_noise parameter for binary data augmentation; Jacobi_Batch now uses a simpler sequential loop (one sample at a time via Jacobi_N).
• Case study docs: EOT FDFI case study notebook (eot_case_study_sens50) added to documentation under a new Case Studies section.
• docs/user_guide/concepts.rst: conf_int() return keys documented as a reference table.

Fixed

• Explainer class docstring: corrected from dfi import → from fdfi import.
• group_importance() deprecation version tag corrected from 0.2.0 to 0.0.5.
• _format_summary(): z-score now computed as (score − margin) / se (was score / se).
• docs/conf.py release field was stale at 0.0.4; updated to match package version.
• Crossfitting docstring: RST bullet list in parameter description replaced with prose to fix Sphinx rendering error.
• docs/tutorials/confidence_intervals.ipynb: repaired two broken JSON cell boundaries.
• MANIFEST.in: exclude docs/case_studies/data and docs/case_studies/results from sdist.