model = Generalized linear mixed-effects model fit by PL Model information: Number of observations 33 Fixed effects coefficients 6 Random effects coefficients 18 Covariance parameters 7 Distribution Normal Link Identity FitMethod MPL Formula: state_duration ~ 1 + genotype*state + (1 + state | mouse) Model fit statistics: AIC BIC LogLikelihood Deviance -7.4617 11.993 16.731 -33.462 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower Upper {'(Intercept)' } 3.2846 0.083533 39.321 27 2.2526e-25 3.1132 3.456 {'genotype_WT' } 0.37077 0.12009 3.0875 27 0.0046315 0.12437 0.61717 {'state_NREM' } 0.23025 0.075115 3.0653 27 0.004893 0.076125 0.38437 {'state_REM' } 1.2943 0.073861 17.523 27 2.8257e-16 1.1427 1.4458 {'genotype_WT:state_NREM'} 0.089634 0.11116 0.80637 27 0.42708 -0.13844 0.31771 {'genotype_WT:state_REM' } -0.25525 0.10948 -2.3314 27 0.027444 -0.47989 -0.030606 Random effects covariance parameters: Group: mouse (6 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std' } 0.11098 {'state_NREM' } {'(Intercept)'} {'corr'} -0.86617 {'state_REM' } {'(Intercept)'} {'corr'} -0.54133 {'state_NREM' } {'state_NREM' } {'std' } 0.026182 {'state_REM' } {'state_NREM' } {'corr'} 0.048679 {'state_REM' } {'state_REM' } {'std' } 0.01245 Group: Error Name Estimate {'sqrt(Dispersion)'} 0.12725