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>
    ratio ~ 1 + genotype*state

<strong>Model fit statistics:</strong>
    AIC        BIC        LogLikelihood    Deviance
    -16.368    -5.8926    15.184           -30.368 
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                              Estimate     SE          tStat       DF    pValue        Lower       Upper   
    {'(Intercept)'           }           3.1067    0.062353      49.825    27    4.1061e-28      2.9788      3.2347
    {'genotype_WT'           }        -0.083738    0.092485    -0.90543    27       0.37325     -0.2735     0.10602
    {'state_NREM'            }          0.65508    0.088181      7.4288    27    5.4346e-08     0.47415     0.83601
    {'state_REM'             }         -0.89138    0.088181     -10.109    27    1.1257e-10     -1.0723    -0.71045
    {'genotype_WT:state_NREM'}        -0.016034     0.13079    -0.12259    27       0.90334     -0.2844     0.25233
    {'genotype_WT:state_REM' }         0.034015     0.13079     0.26006    27       0.79679    -0.23435     0.30238
<strong>Random effects covariance parameters:</strong>
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.15273