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VARIATION: unmerge_d6_10   [metric: success COUNT]
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model: behavior ~ stim + day + stim:day + (1|rat)   (behavior = success COUNT)
day = training day within window (0 = first analyzed day)
treatment (stim=1): Electrode-Box-B2
control   (stim=0): Electrode-Box-A2
N = 5 rats, 25 sessions   raw day coverage: treat 6..10, control 6..10
(equal day coverage over this window)

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FULL MODEL SUMMARY -- fitlme
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Linear mixed-effects model fit by ML

Model information:
    Number of observations              25
    Fixed effects coefficients           4
    Random effects coefficients          5
    Covariance parameters                2

Formula:
    behavior ~ 1 + day*stim + (1 | rat)

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    196.97    204.29    -92.486          184.97  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat      DF    pValue    
    {'(Intercept)'}          74.2      6.4017     11.591    21    1.3774e-10
    {'day'        }           2.4      1.9295     1.2439    21       0.22726
    {'stim'       }        14.333      8.2646     1.7343    21      0.097522
    {'day:stim'   }        1.7667       2.491    0.70923    21       0.48598


    Lower      Upper 
     60.887    87.513
    -1.6126    6.4126
    -2.8539    31.521
    -3.4136    6.9469

Random effects covariance parameters (95% CIs):
Group: rat (5 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        6.1065  


    Lower     Upper 
    2.5428    14.665

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        8.6289      6.3295    11.764


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(21)=  0.71 F(1)=  0.503  p=0.486    p=0.4864 (df=20)
day (learning)             t(21)=  1.24 F(1)=  1.547  p=0.2273    p=0.2279 (df=20)
stim (main, window start)  t(21)=  1.73 F(1)=  3.008  p=0.09752    p=0.1098 (df=11)
interaction 95% CI: [-3.414, +6.947]
HONEST LME (per-animal random slope, day|rat): interaction F(1,5.0)=0.40, p=0.5549
  (Satterthwaite DF ~= residual on this random-intercept model; the random-slope
   model above is the honest learning-rate test -- DF collapses toward the animal count.)
INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.486, slope diff=+1.767)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
