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VARIATION: naive_boxa_d0_13
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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-A, Electrode-Box-A2, Naive
N = 11 rats, 138 sessions   raw day coverage: treat 0..13, control 0..13
(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             138
    Fixed effects coefficients           4
    Random effects coefficients         11
    Covariance parameters                2

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

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    1172.3    1189.8    -580.14          1160.3  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE         tStat     DF     pValue    
    {'(Intercept)'}        15.925       4.1997     3.792    134    0.00022515
    {'day'        }        6.7124        0.401    16.739    134    1.2129e-34
    {'stim'       }        11.848       7.9908    1.4827    134        0.1405
    {'day:stim'   }        1.3064      0.75238    1.7363    134      0.084806


    Lower      Upper 
      7.619    24.231
     5.9193    7.5055
    -3.9564    27.652
    -0.1817    2.7945

Random effects covariance parameters (95% CIs):
Group: rat (11 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        8.76    


    Lower     Upper 
    5.1941    14.774

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        15.18       13.424    17.167


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(134)=  1.74 F(1)=  3.015  p=0.08481    p=0.08489 (df=129)
day (learning)             t(134)= 16.74 F(1)=280.201  p=1.213e-34    p=2.161e-34 (df=131)
stim (main, window start)  t(134)=  1.48 F(1)=  2.198  p=0.1405    p=0.1519 (df=23)
interaction 95% CI: [-0.18, +2.79]
HONEST LME (per-animal random slope, day|rat): interaction F(1,25.3)=2.32, p=0.1403
  (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=0.08481, slope diff=+1.31)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.