Add survey Phase 6: replicate weights, DEFF diagnostics, subpopulation analysis#238

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igerber merged 50 commits intomainfrom

survey-last-phase

Mar 28, 2026

Commits on Mar 26, 2026

Add survey Phase 6: replicate weights, DEFF diagnostics, subpopulation analysis

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Address AI review P1/P2 findings for replicate weights

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Commits on Mar 27, 2026

Fix panel→unit replicate propagation, weight normalization, validation

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Fix replicate IF variance contract, add zero-weight guards, numerical tests

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Add replicate weights, DEFF, subpopulation to REGISTRY.md

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Fix solve_logit effective-sample validation, np.divide warning

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Add effective-sample rank check in solve_logit for zero-weight designs

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Fix TripleDiff replicate IF scale, reject replicate+bootstrap, harden DEFF

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Fix compute_deff all-NaN branch, parameterize TripleDiff replicate test

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Reject replicate designs for SunAbraham, validate subpopulation masks

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Fix replicate IF variance score scaling for EfficientDiD, TripleDiff, ContinuousDiD

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Fix subpopulation mask validation, EfficientDiD bootstrap guard, logit rank action

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Guard zero-weight cells in TripleDiff and ContinuousDiD

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Guard <2 valid replicates, drop logit columns, filter NaN cells

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Reject CS replicate+bootstrap, guard Bacon zero-weight cells

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Address CI review: fix logit coef expansion, reject string masks

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Address CI review round 2: reject non-binary masks, fix logit test, document df

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Propagate replicate metadata in CS unit-level survey collapse

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Document stale replicate df as Note in REGISTRY.md

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Fix replicate df: update n_replicates to valid count after drops

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Return n_valid from replicate variance functions, fix df properly

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Clear _replicate_df on refit, add CS zero-mass guards, document IF df

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Fix CS zero-mass return type, vectorized guard, propagate IF replicate df

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Fix CS df key name, re-read df after aggregation, propagate ContinuousDiD df

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Propagate replicate df through EfficientDiD and TripleDifference IF paths

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Reset _replicate_n_valid at start of TripleDifference.fit()

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Expand replicate weight API: combined_weights, scale, rscales, mse

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Propagate replicate design params through subpopulation, subset_to_units, CS collapse

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Use original R for replicate variance scaling, not n_valid

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Fix IF replicate weight ratio: skip full-sample normalization for replicate designs

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Validate combined-weight IF ratio, zero aweight scores for zero-weight obs

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Commits on Mar 28, 2026