==============================================================================
VARIATION: boxa_b2_d0_10   [metric: success RATE (success/attempts)]
==============================================================================
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-A, Electrode-Box-B2
control   (stim=0): Electrode-Box-A2
N = 7 rats, 72 sessions   raw day coverage: treat 0..10, control 0..10
(equal day coverage over this window)

==============================================================================
FULL MODEL SUMMARY -- fitlme
==============================================================================

Linear mixed-effects model fit by ML

Model information:
    Number of observations              72
    Fixed effects coefficients           4
    Random effects coefficients          7
    Covariance parameters                2

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

Model fit statistics:
    AIC       BIC        LogLikelihood    Deviance
    -125.6    -111.94    68.799           -137.6  

Fixed effects coefficients (95% CIs):
    Name                   Estimate     SE           tStat       DF    pValue   
    {'(Intercept)'}          0.22991     0.038687      5.9428    68     1.07e-07
    {'day'        }         0.040788    0.0055544      7.3434    68    3.402e-10
    {'stim'       }        0.0034269     0.050885    0.067345    68       0.9465
    {'day:stim'   }         0.013172    0.0069458      1.8964    68     0.062154


    Lower          Upper   
        0.15271     0.30711
       0.029705    0.051872
      -0.098113     0.10497
    -0.00068802    0.027032

Random effects covariance parameters (95% CIs):
Group: rat (7 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.043995


    Lower       Upper   
    0.020897    0.092622

Group: Error
    Name               Estimate    Lower       Upper  
    {'Res Std'}        0.087482    0.073647    0.10392


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(68)=  1.90 F(1)=  3.596  p=0.06215    p=0.06217 (df=68)
day (learning)             t(68)=  7.34 F(1)= 53.926  p=3.402e-10    p=3.124e-10 (df=69)
stim (main, window start)  t(68)=  0.07 F(1)=  0.005  p=0.9465    p=0.9471 (df=18)
interaction 95% CI: [-0.000688, +0.02703]
HONEST LME (per-animal random slope, day|rat): interaction F(1,62.1)=3.56, p=0.06388
  (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=0.06215, slope diff=+0.01317)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.