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VARIATION: unmerge_d0_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 = 6 rats, 70 sessions   raw day coverage: treat 0..13, control 0..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              70
    Fixed effects coefficients           4
    Random effects coefficients          6
    Covariance parameters                2

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

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    586.72    600.22    -287.36          574.72  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE         tStat      DF    pValue    
    {'(Intercept)'}          21.7       4.5484     4.7709    66    1.0537e-05
    {'day'        }        6.4863      0.71372     9.0881    66    3.0346e-13
    {'stim'       }        6.0226       6.3135    0.95392    66        0.3436
    {'day:stim'   }        1.5467      0.93755     1.6497    66       0.10376


    Lower       Upper 
      12.619    30.781
      5.0614    7.9113
     -6.5827    18.628
    -0.32523    3.4185

Random effects covariance parameters (95% CIs):
Group: rat (6 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0       


    Lower    Upper
    NaN      NaN  

Group: Error
    Name               Estimate    Lower     Upper
    {'Res Std'}        14.676      12.436    17.32


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(66)=  1.65 F(1)=  2.721  p=0.1038    p=0.1035 (df=70)
day (learning)             t(66)=  9.09 F(1)= 82.593  p=3.035e-13    p=1.823e-13 (df=70)
stim (main, window start)  t(66)=  0.95 F(1)=  0.910  p=0.3436    p=0.3434 (df=70)
interaction 95% CI: [-0.3252, +3.419]
HONEST LME (per-animal random slope, day|rat): interaction F(1,12.8)=1.64, p=0.2227
  (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=0.1038, slope diff=+1.547)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
