==============================================================================
VARIATION: naive_boxa_d6_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-B2
control   (stim=0): Electrode-Box-A, Electrode-Box-A2, Naive
N = 10 rats, 50 sessions   raw day coverage: treat 6..10, control 6..10
(equal day coverage over this window)

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

Linear mixed-effects model fit by ML

Model information:
    Number of observations              50
    Fixed effects coefficients           4
    Random effects coefficients         10
    Covariance parameters                2

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

Model fit statistics:
    AIC        BIC        LogLikelihood    Deviance
    -102.02    -90.545    57.008           -114.02 

Fixed effects coefficients (95% CIs):
    Name                   Estimate     SE           tStat      DF    pValue    
    {'(Intercept)'}           0.4775     0.030961     15.422    46    8.4559e-20
    {'day'        }         0.033319    0.0077275     4.3117    46    8.4717e-05
    {'stim'       }           0.1661     0.056527     2.9385    46     0.0051416
    {'day:stim'   }        -0.021119     0.014108    -1.4969    46       0.14124


    Lower        Upper    
      0.41518      0.53982
     0.017764     0.048873
     0.052321      0.27989
    -0.049518    0.0072795

Random effects covariance parameters (95% CIs):
Group: rat (10 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.064825


    Lower       Upper  
    0.038261    0.10983

Group: Error
    Name               Estimate    Lower      Upper   
    {'Res Std'}        0.064653    0.05193    0.080492


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(46)= -1.50 F(1)=  2.241  p=0.1412    p=0.1423 (df=40)
day (learning)             t(46)=  4.31 F(1)= 18.591  p=8.472e-05    p=0.0001028 (df=40)
stim (main, window start)  t(46)=  2.94 F(1)=  8.635  p=0.005142    p=0.009071 (df=17)
interaction 95% CI: [-0.04952, +0.00728]
HONEST LME (per-animal random slope, day|rat): interaction F(1,10.0)=1.71, p=0.2198
  (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=0.1412, slope diff=-0.02112)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.