Generalized linear mixed-effects model fit by PL

Model information:
    Number of observations              28
    Fixed effects coefficients           4
    Random effects coefficients         19
    Covariance parameters                2
    Distribution                    Gamma 
    Link                            Power 
    FitMethod                       REMPL 

Formula:
    Slope1 ~ 1 + Group*Sex + (1 | Exp)

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    -37.12    -30.06    24.56            -49.12  
Fixed effects coefficients (95% CIs):
    Name                      Estimate    SE      tStat    DF       pValue    Lower    Upper
    {'(Intercept)'   }         0.16       0.03     5.19    24.00    0.00       0.10    0.23 
    {'Group_wt'      }         0.04       0.04     0.99    24.00    0.33      -0.05    0.13 
    {'Sex_M'         }        -0.03       0.04    -0.90    24.00    0.38      -0.11    0.04 
    {'Group_wt:Sex_M'}         0.06       0.07     0.82    24.00    0.42      -0.08    0.19 
Random effects covariance parameters:
Group: Exp (19 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.00    
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.43