model = 
<strong>Linear mixed-effects model fit by ML</strong>

<strong>Model information:</strong>
    Number of observations              94
    Fixed effects coefficients           2
    Random effects coefficients          0
    Covariance parameters                1

<strong>Formula:</strong>
    highpass_thresh_roa_density ~ 1 + genotype

<strong>Model fit statistics:</strong>
    AIC       BIC       LogLikelihood    Deviance
    268.24    275.87    -131.12          262.24  
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                            Estimate    SE         tStat      DF    pValue        Lower      Upper  
    {'(Intercept)'         }        -3.8848     0.10781    -36.035    92    4.8064e-56    -4.0989    -3.6707
    {'genotype_roa_control'}         -7.584     0.30173    -25.135    92    5.5017e-43    -8.1833    -6.9847
<strong>Random effects covariance parameters (95% CIs):</strong>
Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        0.97624     0.8462    1.1262