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

<strong>Model information:</strong>
    Number of observations              33
    Fixed effects coefficients           6
    Random effects coefficients          0
    Covariance parameters                1
    Distribution                    Normal
    Link                            Identity
    FitMethod                       MPL   

<strong>Formula:</strong>
    freq ~ 1 + genotype*state

<strong>Model fit statistics:</strong>
    AIC       BIC       LogLikelihood    Deviance
    3.8363    14.312    5.0818           -10.164 
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                              Estimate    SE          tStat       DF    pValue        Lower       Upper   
    {'(Intercept)'           }          3.3527    0.084685       39.59    27    1.8797e-25      3.1789      3.5265
    {'genotype_WT'           }        -0.39432     0.12561     -3.1393    27     0.0040725    -0.65205    -0.13659
    {'state_NREM'            }         0.43599     0.11976      3.6405    27     0.0011363     0.19026     0.68173
    {'state_REM'             }         -2.1827     0.11976     -18.225    27    1.0595e-16     -2.4284      -1.937
    {'genotype_WT:state_NREM'}        -0.11822     0.17764    -0.66551    27       0.51137     -0.4827     0.24626
    {'genotype_WT:state_REM' }         0.28581     0.17764       1.609    27       0.11926    -0.07867     0.65029
<strong>Random effects covariance parameters:</strong>
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.20744