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_freq ~ 1 + genotype

<strong>Model fit statistics:</strong>
    AIC       BIC       LogLikelihood    Deviance
    179.79    187.42    -86.894          173.79  
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                            Estimate    SE          tStat      DF    pValue        Lower      Upper  
    {'(Intercept)'         }        -7.0823     0.067347    -105.16    92    1.1996e-97     -7.216    -6.9485
    {'genotype_roa_control'}        -3.7457      0.18849    -19.872    92    4.7356e-35    -4.1201    -3.3714
<strong>Random effects covariance parameters (95% CIs):</strong>
Group: Error
    Name               Estimate    Lower      Upper  
    {'Res Std'}        0.60986     0.52862    0.70357