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VARIATION: naive_a2_d6_13   [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, Naive
N = 9 rats, 65 sessions   raw day coverage: treat 6..13, control 6..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              65
    Fixed effects coefficients           4
    Random effects coefficients          9
    Covariance parameters                2

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

Model fit statistics:
    AIC      BIC       LogLikelihood    Deviance
    535.5    548.54    -261.75          523.5   

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE         tStat      DF    pValue    
    {'(Intercept)'}        66.813       5.1278      13.03    61    2.7998e-19
    {'day'        }        2.8262      0.83395     3.3889    61     0.0012345
    {'stim'       }        21.913       8.8928     2.4641    61      0.016568
    {'day:stim'   }        1.1553       1.4855    0.77769    61       0.43976


    Lower      Upper 
      56.56    77.067
     1.1586    4.4937
     4.1309    39.695
    -1.8152    4.1258

Random effects covariance parameters (95% CIs):
Group: rat (9 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        9.7589  


    Lower     Upper 
    5.6191    16.948

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        12.033      10.004    14.473


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(61)=  0.78 F(1)=  0.605  p=0.4398    p=0.4399 (df=58)
day (learning)             t(61)=  3.39 F(1)= 11.485  p=0.001235    p=0.001274 (df=57)
stim (main, window start)  t(61)=  2.46 F(1)=  6.072  p=0.01657    p=0.02473 (df=17)
interaction 95% CI: [-1.815, +4.126]
HONEST LME (per-animal random slope, day|rat): interaction F(1,7.7)=0.36, p=0.5635
  (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=0.4398, slope diff=+1.155)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
