glme = 


<strong>Generalized linear mixed-effects model fit by PL</strong>

<strong>Model information:</strong>
    Number of observations             100
    Fixed effects coefficients           5
    Random effects coefficients        100
    Covariance parameters               16
    Distribution                    Normal
    Link                            Identity
    FitMethod                       REMPL 

<strong>Formula:</strong>
    CV ~ 1 + Task + (1 + Task | Subject)

<strong>Model fit statistics:</strong>
    AIC        BIC        LogLikelihood    Deviance
    -683.27    -629.64    362.64           -725.27 

<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                   Estimate       SE            tStat        DF    pValue        Lower         Upper    
    {'(Intercept)'}          0.0096186        0.0014       6.8704    95    6.6305e-10     0.0068392     0.012398
    {'Task_Task2' }        -5.9351e-05    0.00088106    -0.067363    95       0.94643    -0.0018085    0.0016898
    {'Task_Task3' }          0.0052459     0.0043449       1.2074    95       0.23029    -0.0033798     0.013871
    {'Task_Task4' }          0.0032482      0.002715       1.1964    95       0.23452    -0.0021417    0.0086381
    {'Task_Task5' }          0.0025829     0.0023815       1.0846    95       0.28086     -0.002145    0.0073108

<strong>Random effects covariance parameters:</strong>
Group: Subject (20 Levels)
    Name1                  Name2                  Type            Estimate 
    {'(Intercept)'}        {'(Intercept)'}        {'std' }        0.0061888
    {'Task_Task2' }        {'(Intercept)'}        {'corr'}         0.097387
    {'Task_Task3' }        {'(Intercept)'}        {'corr'}          0.50237
    {'Task_Task4' }        {'(Intercept)'}        {'corr'}           0.4324
    {'Task_Task5' }        {'(Intercept)'}        {'corr'}          0.40653
    {'Task_Task2' }        {'Task_Task2' }        {'std' }         0.003705
    {'Task_Task3' }        {'Task_Task2' }        {'corr'}          0.73036
    {'Task_Task4' }        {'Task_Task2' }        {'corr'}          0.81918
    {'Task_Task5' }        {'Task_Task2' }        {'corr'}          0.12077
    {'Task_Task3' }        {'Task_Task3' }        {'std' }         0.019384
    {'Task_Task4' }        {'Task_Task3' }        {'corr'}           0.9898
    {'Task_Task5' }        {'Task_Task3' }        {'corr'}          0.49246
    {'Task_Task4' }        {'Task_Task4' }        {'std' }         0.012067
    {'Task_Task5' }        {'Task_Task4' }        {'corr'}          0.43354
    {'Task_Task5' }        {'Task_Task5' }        {'std' }         0.010566

Group: Error
    Name                        Estimate  
    {'sqrt(Dispersion)'}        0.00094828