Generalized linear mixed-effects model fit by PL

Model information:
    Number of observations              34
    Fixed effects coefficients           4
    Random effects coefficients         20
    Covariance parameters                2
    Distribution                    Normal
    Link                            Identity
    FitMethod                       REMPL 

Formula:
    Slope ~ 1 + Genotype*Sex + (1 | Exp)

Model fit statistics:
    AIC        BIC        LogLikelihood    Deviance
    -294.29    -285.88    153.14           -306.29 
Fixed effects coefficients (95% CIs):
    Name                         Estimate    SE      tStat    DF       pValue    Lower    Upper
    {'(Intercept)'      }        0.00        0.00    5.32     30.00    0.00       0.00    0.00 
    {'Genotype_wt'      }        0.00        0.00    0.35     30.00    0.73      -0.00    0.00 
    {'Sex_M'            }        0.00        0.00    0.43     30.00    0.67      -0.00    0.00 
    {'Genotype_wt:Sex_M'}        0.00        0.00    0.07     30.00    0.95      -0.00    0.00 
Random effects covariance parameters:
Group: Exp (20 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.00    
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.00