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