glme = Generalized linear mixed-effects model fit by PL Model information: Number of observations 100 Fixed effects coefficients 5 Random effects coefficients 100 Covariance parameters 16 Distribution Normal Link Identity FitMethod REMPL Formula: CV ~ 1 + Task + (1 + Task | Subject) Model fit statistics: AIC BIC LogLikelihood Deviance -438.66 -385.03 240.33 -480.66 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)'} 0.023983 0.0030884 7.7655 95 9.3634e-12 0.017851 0.030114 {'Task_Task2' } 0.0064713 0.0039809 1.6256 95 0.10735 -0.0014319 0.014374 {'Task_Task3' } 0.024399 0.0094608 2.5789 95 0.011445 0.0056169 0.043181 {'Task_Task4' } 0.017296 0.006988 2.4751 95 0.015091 0.0034232 0.031169 {'Task_Task5' } 0.019714 0.0062407 3.159 95 0.0021236 0.0073248 0.032104 Random effects covariance parameters: Group: Subject (20 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std' } 0.011254 {'Task_Task2' } {'(Intercept)'} {'corr'} 0.65649 {'Task_Task3' } {'(Intercept)'} {'corr'} 0.53644 {'Task_Task4' } {'(Intercept)'} {'corr'} -0.069866 {'Task_Task5' } {'(Intercept)'} {'corr'} -0.03631 {'Task_Task2' } {'Task_Task2' } {'std' } 0.013738 {'Task_Task3' } {'Task_Task2' } {'corr'} 0.87185 {'Task_Task4' } {'Task_Task2' } {'corr'} 0.57442 {'Task_Task5' } {'Task_Task2' } {'corr'} 0.61009 {'Task_Task3' } {'Task_Task3' } {'std' } 0.040767 {'Task_Task4' } {'Task_Task3' } {'corr'} 0.64588 {'Task_Task5' } {'Task_Task3' } {'corr'} 0.76392 {'Task_Task4' } {'Task_Task4' } {'std' } 0.029128 {'Task_Task5' } {'Task_Task4' } {'corr'} 0.84374 {'Task_Task5' } {'Task_Task5' } {'std' } 0.025509 Group: Error Name Estimate {'sqrt(Dispersion)'} 0.0080073