feat(matlab): windowed paper-LME replication for mergeNaive (d0_10, d0_13)
Make tdcs_paper_lme window-aware (windowKey 'full'|'d0_10'|'d0_13', default 'full' -> unchanged filename). Windowed runs give the two anchor arms equal day coverage, so the stim:day interaction is not confounded by the full-range coverage imbalance; the report now states whether coverage is equal and adds an INTERPRETATION block. Add switch cases paper_mergeNaive_d0_10 / _d0_13 and include them in run_all. Finding: unlike mergeA2 (fair-window interaction n.s.), the pooled-naive control keeps the interaction significant in the fair d0_13 window (F(1)=7.07, p=0.0088, +1.80 [+0.46,+3.14]; equal on Day 1 p=0.20), reproducing the paper without the coverage confound; d0_10 is borderline (p=0.051). Tests: tLme asserts equal coverage / no warning / one full summary for both windows and a significant positive d0_13 interaction; bad windowKey errors. Suite 41/41. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -11,7 +11,8 @@ scenarios = {'unmerged_full', 'unmerged_d0_10', ...
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'lme_unmerged_d0_13', 'lme_mergeA2_d0_13', 'lme_mergeB2_d0_13', ...
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'phase_unmerged', 'phase_mergeA2', 'phase_mergeB2', ...
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'paper_unmerged', 'paper_mergeA2', 'paper_mergeB2', ...
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'mergeNaive_full', 'paper_mergeNaive', 'phase_mergeNaive'};
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'mergeNaive_full', 'paper_mergeNaive', 'phase_mergeNaive', ...
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'paper_mergeNaive_d0_10', 'paper_mergeNaive_d0_13'};
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for i = 1:numel(scenarios)
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fprintf('\n\n### Running scenario: %s ###\n', scenarios{i});
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