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>
    freq ~ 1 + movement*state

<strong>Model fit statistics:</strong>
    AIC       BIC      LogLikelihood    Deviance
    32.441    42.25    -9.2206          18.441  
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                                     Estimate     SE         tStat        DF    pValue        Lower       Upper  
    {'(Intercept)'                  }           2.9584    0.14715       20.105    24    1.5911e-16      2.6547     3.2621
    {'movement_headfixed'           }         -0.24741     0.2081      -1.1889    24        0.2461    -0.67691    0.18209
    {'state_NREM'                   }          0.31777     0.2081        1.527    24       0.13983    -0.11173    0.74727
    {'state_REM'                    }          -1.8969     0.2081      -9.1152    24    2.9068e-09     -2.3264    -1.4674
    {'movement_headfixed:state_NREM'}        -0.015191     0.2943    -0.051618    24       0.95926     -0.6226    0.59221
    {'movement_headfixed:state_REM' }         -0.22561     0.2943     -0.76661    24       0.45079    -0.83302    0.38179
<strong>Random effects covariance parameters:</strong>
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.32904