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VARIATION: naive_boxa_d0_10   [metric: success COUNT]
==============================================================================
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-A, Electrode-Box-A2, Naive
N = 11 rats, 115 sessions   raw day coverage: treat 0..10, control 0..10
(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             115
    Fixed effects coefficients           4
    Random effects coefficients         11
    Covariance parameters                2

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

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    958.48    974.95    -473.24          946.48  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE         tStat     DF     pValue    
    {'(Intercept)'}        10.139       4.1642    2.4349    111      0.016488
    {'day'        }        8.3463      0.49368    16.906    111    1.7432e-32
    {'stim'       }        12.209       7.8948    1.5465    111       0.12484
    {'day:stim'   }        1.1779      0.90166    1.3064    111       0.19412


    Lower       Upper 
      1.8878    18.391
      7.3681    9.3246
     -3.4352    27.853
    -0.60877    2.9646

Random effects covariance parameters (95% CIs):
Group: rat (11 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        8.6713  


    Lower    Upper 
    5.112    14.709

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        13.706      11.962    15.704


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(111)=  1.31 F(1)=  1.707  p=0.1941    p=0.1943 (df=104)
day (learning)             t(111)= 16.91 F(1)=285.824  p=1.743e-32    p=6.758e-32 (df=106)
stim (main, window start)  t(111)=  1.55 F(1)=  2.392  p=0.1248    p=0.1361 (df=22)
interaction 95% CI: [-0.6088, +2.965]
HONEST LME (per-animal random slope, day|rat): interaction F(1,10.1)=0.83, p=0.3836
  (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=0.1941, slope diff=+1.178)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
