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

<strong>Model information:</strong>
    Number of observations             231
    Fixed effects coefficients           2
    Random effects coefficients          0
    Covariance parameters                1

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

<strong>Model fit statistics:</strong>
    AIC       BIC       LogLikelihood    Deviance
    454.55    464.88    -224.28          448.55  
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                        Estimate    SE          tStat      DF     pValue         Lower       Upper   
    {'(Intercept)'     }           4.405    0.069296     63.567    229    1.7899e-147      4.2684      4.5415
    {'genotype_wt_dual'}        -0.28177    0.087164    -3.2326    229      0.0014073    -0.45351    -0.11002
<strong>Random effects covariance parameters (95% CIs):</strong>
Group: Error
    Name               Estimate    Lower     Upper  
    {'Res Std'}        0.63888     0.5832    0.69987