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

<strong>Model information:</strong>
    Number of observations              30
    Fixed effects coefficients           6
    Random effects coefficients          0
    Covariance parameters                1
    Distribution                    Normal
    Link                            Identity
    FitMethod                       MPL   

<strong>Formula:</strong>
    ratio ~ 1 + movement*state

<strong>Model fit statistics:</strong>
    AIC       BIC       LogLikelihood    Deviance
    38.317    48.125    -12.158          24.317  
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                                     Estimate     SE         tStat       DF    pValue        Lower       Upper   
    {'(Intercept)'                  }            3.023    0.16229      18.627    24    8.9361e-16       2.688      3.3579
    {'movement_headfixed'           }         -0.15085    0.22951    -0.65727    24       0.51726    -0.62454     0.32284
    {'state_NREM'                   }          0.63905    0.22951      2.7844    24      0.010296     0.16536      1.1127
    {'state_REM'                    }         -0.85736    0.22951     -3.7356    24     0.0010248     -1.3311    -0.38368
    {'movement_headfixed:state_NREM'}        -0.098395    0.32458    -0.30315    24       0.76439    -0.76829      0.5715
    {'movement_headfixed:state_REM' }          -0.3595    0.32458     -1.1076    24       0.27902     -1.0294      0.3104
<strong>Random effects covariance parameters:</strong>
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.36289