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VARIATION: unmerge_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
N = 5 rats, 34 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              34
    Fixed effects coefficients           4
    Random effects coefficients          5
    Covariance parameters                2

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

Model fit statistics:
    AIC       BIC      LogLikelihood    Deviance
    257.04    266.2    -122.52          245.04  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat     DF    pValue    
    {'(Intercept)'}         75.17      6.2311    12.064    30    4.8879e-13
    {'day'        }        1.7101       1.061    1.6117    30       0.11749
    {'stim'       }        13.563      8.0252      1.69    30        0.1014
    {'day:stim'   }         2.267      1.3237    1.7126    30      0.097101


    Lower       Upper 
      62.445    87.896
    -0.45682     3.877
     -2.8271    29.952
    -0.43635    4.9703

Random effects covariance parameters (95% CIs):
Group: rat (5 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        7.1166  


    Lower     Upper 
    3.4834    14.539

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        7.7328      5.9847    9.9914


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(30)=  1.71 F(1)=  2.933  p=0.0971    p=0.09701 (df=30)
day (learning)             t(30)=  1.61 F(1)=  2.598  p=0.1175    p=0.1174 (df=30)
stim (main, window start)  t(30)=  1.69 F(1)=  2.856  p=0.1014    p=0.1269 (df=9)
interaction 95% CI: [-0.4363, +4.97]
HONEST LME (per-animal random slope, day|rat): interaction F(1,13.9)=2.48, p=0.1382
  (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=0.0971, slope diff=+2.267)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
