glme =
Generalized linear mixed-effects model fit by PL
Model information:
Number of observations 60
Fixed effects coefficients 3
Random effects coefficients 60
Covariance parameters 7
Distribution Normal
Link Identity
FitMethod REMPL
Formula:
CV ~ 1 + Electrode + (1 + Electrode | Subject)
Model fit statistics:
AIC BIC LogLikelihood Deviance
-106.41 -85.984 63.207 -126.41
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue Lower Upper
{'(Intercept)' } 0.021459 0.0075171 2.8546 57 0.005998 0.006406 0.036512
{'Electrode_Occ' } 0.11374 0.035718 3.1843 57 0.0023524 0.042213 0.18526
{'Electrode_Temp'} 0.073773 0.022117 3.3356 57 0.0015019 0.029485 0.11806
Random effects covariance parameters:
Group: Subject (20 Levels)
Name1 Name2 Type Estimate
{'(Intercept)' } {'(Intercept)' } {'std' } 0.026307
{'Electrode_Occ' } {'(Intercept)' } {'corr'} 0.90308
{'Electrode_Temp'} {'(Intercept)' } {'corr'} -0.20199
{'Electrode_Occ' } {'Electrode_Occ' } {'std' } 0.15697
{'Electrode_Temp'} {'Electrode_Occ' } {'corr'} -0.15812
{'Electrode_Temp'} {'Electrode_Temp'} {'std' } 0.094377
Group: Error
Name Estimate
{'sqrt(Dispersion)'} 0.02093