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Commits on Apr 1, 2026

• Bump version to 2.8.1

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• Merge pull request #248 from igerber/honest-did-validation

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• Add upfront parameter validation to generate_survey_did_data

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• Fix NaN CI misclassification as significant (P0)

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• Document combined-mode FLCI inconsistency, fix stale comments, optimize RM LP

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• Fix 1-indexed cohort contract: require g >= 2 for pre-period estimability

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• Fix FLCI slope count (T not T-1) and constraint (sum_j j*l_j not 1)

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• Fix default cohort_periods, numpy array input, and add StaggeredTripleDiff to table

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• Accept numpy integers in cohort_periods and add tutorial cross-references

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• Fix remaining stale RM strings and update review status

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• Rewrite optimal FLCI with first-difference reparameterization

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• Fix JK1 populated-PSU guard and narrow warning filter

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• Validate cohort_periods range and type in generate_survey_did_data

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• Address re-review: smoothness df gating, M=0 SE, infeasibility propagation

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• Address second AI review round on survey tutorial

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• Address AI review findings: fix FLCI bias, LP infeasibility, survey df, labels

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• Address AI review feedback on survey tutorial

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• Add survey-aware DiD tutorial (Phase 7c)

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• Disable ARP grid search for RM CI (use naive FLCI while calibrating)

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• Optimize FLCI performance: Newton cv_alpha, centrosymmetric LP, M=0 short-circuit

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• Fix HonestDiD identified set computation and inference (F1-F6)

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Commits on Mar 31, 2026

• Address CI review: pscore fallback, zero-mass subgroups, test coverage

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• Fix replicate-weight scale invariance and BRR test fixtures

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• Add replicate+bootstrap guard, effective_df propagation, and test coverage

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• Add survey design support to StaggeredTripleDifference estimator

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• Bump version to 2.8.0

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• Fix StaggeredTripleDifference unpack for 3-tuple _aggregate_simple return

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Commits on Mar 30, 2026

• Fix replicate-weight df propagation: return per-statistic df instead of mutating shared state

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• Fix IPW PS correction sign and merge main

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• Fix M2 gradient scaling: use np.sum instead of np.mean over control subsets

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• Fix PS nuisance IF correction scaling: remove extra /n division

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• Recompute size_gt from surviving comparison cohorts only

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• Tighten validation and R parity test assertions

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• Restructure all PS corrections to R's psi convention with explicit phi conversion

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• Match R exactly: H = X'WX (no /n), asy_rep = score @ inv(H) (no /n)

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