experiments-database

T

Experiments DB Dev b1057f6105 fix(matlab): report learning rate via per-animal slope test, not anticonservative GLMM F-test

fitglme coefTest only offers observation-level DF (df2~=178), which overstates
the group x day interaction significance for this few-subject design (p~=0 in
every scenario). Replace the reported learning-rate result with a cluster-honest
per-animal slope test (per-subject OLS slope of success vs day, Welch + MWU,
B2 vs A2) -- now correctly parallel in all 6 scenarios, matching the Python GEE.
The GLMM F-test is kept as a flagged reference only. Adds a regression test.

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

2026-07-20 08:40:47 -04:00

analysis

fix(matlab): report learning rate via per-animal slope test, not anticonservative GLMM F-test

2026-07-20 08:40:47 -04:00

backend

fix(backend): widen plot_config size cap to fit a full hiddenSubjects list

2026-06-01 10:30:06 -04:00

docs/superpowers

docs(plan): MATLAB tDCS analysis port implementation plan

2026-07-20 07:23:57 -04:00

frontend

fix(export): label synthetic ordinal '# Days Reach (ordinal)' to avoid collision with same-named daily field