model = Generalized linear mixed-effects model fit by PL Model information: Number of observations 1015 Fixed effects coefficients 12 Random effects coefficients 31 Covariance parameters 2 Distribution Normal Link Identity FitMethod MPL Formula: roa_xy_size ~ 1 + genotype*state + (1 | dx_squared) Model fit statistics: AIC BIC LogLikelihood Deviance 1929 1997.9 -950.51 1901 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue Lower {'(Intercept)' } 0.87786 0.075486 11.629 1003 2.0456e-29 0.72973 {'genotype_wt_dual' } 0.58239 0.098846 5.8919 1003 5.2067e-09 0.38843 {'state_is' } -0.12705 0.095617 -1.3288 1003 0.18423 -0.31468 {'state_nrem' } -0.067176 0.095503 -0.70339 1003 0.48198 -0.25458 {'state_quiet' } -0.1265 0.092348 -1.3698 1003 0.17105 -0.30772 {'state_rem' } -0.10274 0.13133 -0.78228 1003 0.43424 -0.36046 {'state_locomotion' } 0.11698 0.094169 1.2422 1003 0.21446 -0.067815 {'genotype_wt_dual:state_is' } -0.40607 0.13219 -3.072 1003 0.0021839 -0.66547 {'genotype_wt_dual:state_nrem' } -0.3474 0.13103 -2.6513 1003 0.0081449 -0.60453 {'genotype_wt_dual:state_quiet' } -0.35825 0.14014 -2.5564 1003 0.010722 -0.63325 {'genotype_wt_dual:state_rem' } -0.45182 0.16281 -2.7751 1003 0.0056215 -0.77132 {'genotype_wt_dual:state_locomotion'} 0.64833 0.14233 4.555 1003 5.8836e-06 0.36902 Upper 1.026 0.77636 0.060581 0.12023 0.054718 0.15498 0.30177 -0.14668 -0.090275 -0.083253 -0.13233 0.92764 Random effects covariance parameters: Group: dx_squared (31 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std'} 0.13334 Group: Error Name Estimate {'sqrt(Dispersion)'} 0.61204