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                       MPL   

<strong>Formula:</strong>
    Entropy ~ 1 + Conditions + (1 + Conditions | SubjectID)

<strong>Model fit statistics:</strong>
    AIC       BIC       LogLikelihood    Deviance
    100.47    155.18    -29.233          58.466  

<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                         Estimate    SE          tStat       DF    pValue        Lower       Upper   
    {'(Intercept)'      }           4.381    0.077587      56.466    95    6.8318e-75       4.227      4.5351
    {'Conditions_Ecpost'}        -0.06523     0.11081    -0.58864    95        0.5575    -0.28522     0.15476
    {'Conditions_Ecpre' }        -0.17233     0.11664     -1.4774    95       0.14287    -0.40389    0.059232
    {'Conditions_Eopre' }        -0.15847     0.11098     -1.4279    95       0.15661    -0.37879    0.061858
    {'Conditions_M'     }        -0.17606      0.1399     -1.2585    95       0.21131    -0.45378     0.10167

<strong>Random effects covariance parameters:</strong>
Group: SubjectID (20 Levels)
    Name1                        Name2                        Type            Estimate
    {'(Intercept)'      }        {'(Intercept)'      }        {'std' }         0.28414
    {'Conditions_Ecpost'}        {'(Intercept)'      }        {'corr'}        -0.90599
    {'Conditions_Ecpre' }        {'(Intercept)'      }        {'corr'}        -0.61315
    {'Conditions_Eopre' }        {'(Intercept)'      }        {'corr'}        -0.76753
    {'Conditions_M'     }        {'(Intercept)'      }        {'corr'}        -0.76656
    {'Conditions_Ecpost'}        {'Conditions_Ecpost'}        {'std' }         0.40777
    {'Conditions_Ecpre' }        {'Conditions_Ecpost'}        {'corr'}         0.70285
    {'Conditions_Eopre' }        {'Conditions_Ecpost'}        {'corr'}         0.70259
    {'Conditions_M'     }        {'Conditions_Ecpost'}        {'corr'}          0.9638
    {'Conditions_Ecpre' }        {'Conditions_Ecpre' }        {'std' }         0.43906
    {'Conditions_Eopre' }        {'Conditions_Ecpre' }        {'corr'}         0.72624
    {'Conditions_M'     }        {'Conditions_Ecpre' }        {'corr'}         0.74532
    {'Conditions_Eopre' }        {'Conditions_Eopre' }        {'std' }         0.40867
    {'Conditions_M'     }        {'Conditions_Eopre' }        {'corr'}         0.64461
    {'Conditions_M'     }        {'Conditions_M'     }        {'std' }         0.55866

Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.19915