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