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>
    state_duration ~ 1 + genotype*state

<strong>Model fit statistics:</strong>
    AIC        BIC        LogLikelihood    Deviance
    -14.722    -4.2464    14.361           -28.722 
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                              Estimate    SE          tStat      DF    pValue        Lower       Upper   
    {'(Intercept)'           }         3.3375     0.063928     52.208    27    1.1777e-28      3.2064      3.4687
    {'genotype_WT'           }        0.31058      0.09482     3.2755    27     0.0028944     0.11603     0.50514
    {'state_NREM'            }        0.21909     0.090408     2.4233    27      0.022357    0.033587     0.40459
    {'state_REM'             }         1.2913     0.090408     14.283    27    4.1842e-14      1.1058      1.4768
    {'genotype_WT:state_NREM'}        0.10219       0.1341    0.76203    27       0.45265    -0.17296     0.37733
    {'genotype_WT:state_REM' }        -0.2518       0.1341    -1.8777    27       0.07126    -0.52694    0.023346
<strong>Random effects covariance parameters:</strong>
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.15659