glme = 


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

<strong>Model information:</strong>
    Number of observations              60
    Fixed effects coefficients           3
    Random effects coefficients         60
    Covariance parameters                7
    Distribution                    Normal
    Link                            Identity
    FitMethod                       MPL   

<strong>Formula:</strong>
    Distance ~ 1 + Comparison + (1 + Comparison | SubjectID)

<strong>Model fit statistics:</strong>
    AIC       BIC       LogLikelihood    Deviance
    50.771    71.715    -15.386          30.771  

<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                     Estimate     SE          tStat       DF    pValue        Lower       Upper   
    {'(Intercept)'  }           1.0812    0.085804      12.601    57    4.0661e-18     0.90938       1.253
    {'Comparison_BT'}        0.0064249    0.065342    0.098328    57       0.92202    -0.12442     0.13727
    {'Comparison_OT'}         -0.63243     0.12768     -4.9533    57    6.8595e-06    -0.88811    -0.37676

<strong>Random effects covariance parameters:</strong>
Group: SubjectID (20 Levels)
    Name1                    Name2                    Type            Estimate
    {'(Intercept)'  }        {'(Intercept)'  }        {'std' }         0.34073
    {'Comparison_BT'}        {'(Intercept)'  }        {'corr'}        -0.28926
    {'Comparison_OT'}        {'(Intercept)'  }        {'corr'}         -0.8768
    {'Comparison_BT'}        {'Comparison_BT'}        {'std' }         0.15197
    {'Comparison_OT'}        {'Comparison_BT'}        {'corr'}         0.58718
    {'Comparison_OT'}        {'Comparison_OT'}        {'std' }         0.51356

Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.17649