feat(matlab): print full native fitlme/fitglme summary in every scenario

Add tdcs_model_summary as the single place that renders a fitted model
verbatim (disp(model) with the Command-Window <strong> markup stripped),
and route every report through it so all scenarios emit the complete
model-fitting output:

- tdcs_report: adds the learning-rate GLMM's full summary (count/rate
  already had theirs); localCleanDisp now delegates to the shared helper.
- tdcs_lme_report / tdcs_paper_lme: embed the full fitlme summary before
  the curated effect table.
- tdcs_phase_lme: appends each phase's full fitlme summary.

Tests: tReport asserts 3 native summaries in a GLMM report; tLme asserts
the lme_*/paper_*/phase_* reports embed 1/1/3 summaries with markup
stripped. Suite 39/39.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

analysis/matlab/tdcs_paper_lme.m

@@ -67,6 +67,8 @@ if abs(L.maxDayStim - L.maxDayCtrl) > 2
         '   extrapolates the control group''s line and is CONFOUNDED here (the paper''s\n' ...
         '   groups had equal coverage). See the _d0_13 fair-window and phased analyses. **\n'])];
 end
+s = [s sprintf('\n')];
+s = [s tdcs_model_summary(L.model, 'fitlme: behavior ~ stim + day + stim:day + (1|rat)') sprintf('\n')];
 s = [s sprintf('\n%-26s %-13s %-13s %s\n', 'effect', 't (df)', 'F (df1)', 'p')];
 s = [s sprintf('%s\n', repmat('-', 1, 66))];
 s = [s localRow('stim x day (interaction)', L.interaction)];