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>
    state_duration ~ 1 + movement*state

<strong>Model fit statistics:</strong>
    AIC        BIC        LogLikelihood    Deviance
    -42.565    -32.756    28.282           -56.565 
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                                     Estimate     SE          tStat       DF    pValue        Lower        Upper   
    {'(Intercept)'                  }           3.6481    0.042155       86.54    24    1.8221e-31       3.5611      3.7351
    {'movement_headfixed'           }         0.096564    0.059616      1.6198    24       0.11835    -0.026478     0.21961
    {'state_NREM'                   }          0.32127    0.059616       5.389    24    1.5572e-05      0.19823     0.44432
    {'state_REM'                    }           1.0395    0.059616      17.437    24     3.925e-15      0.91648      1.1626
    {'movement_headfixed:state_NREM'}        -0.083204     0.08431    -0.98688    24       0.33355     -0.25721    0.090803
    {'movement_headfixed:state_REM' }         -0.13388     0.08431      -1.588    24       0.12538     -0.30789    0.040124
<strong>Random effects covariance parameters:</strong>
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.094262