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VARIATION: naive_boxa_d0_5   [metric: success RATE (success/attempts)]
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model: behavior ~ stim + day + stim:day + (1|rat)   (behavior = success RATE (success/attempts))
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, 63 sessions   raw day coverage: treat 0..5, control 0..5
(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              63
    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
    -89.552    -76.693    50.776           -101.55 

Fixed effects coefficients (95% CIs):
    Name                   Estimate     SE           tStat       DF
    {'(Intercept)'}          0.20761      0.03353      6.1919    59
    {'day'        }         0.035262    0.0090474      3.8975    59
    {'stim'       }        -0.042773     0.060953    -0.70173    59
    {'day:stim'   }         0.057126     0.016495      3.4631    59


    pValue        Lower       Upper   
    6.1978e-08     0.14052     0.27471
      0.000251    0.017158    0.053365
        0.4856    -0.16474    0.079194
     0.0010002    0.024119    0.090133

Random effects covariance parameters (95% CIs):
Group: rat (11 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.050413


    Lower      Upper  
    0.02388    0.10643

Group: Error
    Name               Estimate    Lower       Upper  
    {'Res Std'}        0.099938    0.082348    0.12129


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(59)=  3.46 F(1)= 11.993  p=0.001    p=0.00108 (df=52)
day (learning)             t(59)=  3.90 F(1)= 15.190  p=0.000251    p=0.0002756 (df=53)
stim (main, window start)  t(59)= -0.70 F(1)=  0.492  p=0.4856    p=0.4879 (df=32)
interaction 95% CI: [+0.02412, +0.09013]
HONEST LME (per-animal random slope, day|rat): interaction F(1,12.0)=9.63, p=0.009127
  (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 SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.001, slope diff=+0.05713)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.