Generalized linear mixed-effects model fit by PL

Model information:
    Number of observations             178
    Fixed effects coefficients          20
    Random effects coefficients        195
    Covariance parameters               16
    Distribution                    Normal
    Link                            Identity
    FitMethod                       MPL   

Formula:
    Weight ~ 1 + Diet*Day + Diet*Sex + Day*Sex + Diet:Day:Sex + (1 + Day | Mouse)

Model fit statistics:
    AIC       BIC       LogLikelihood    Deviance
    562.83    677.38    -245.42          490.83  
Fixed effects coefficients (95% CIs):
    Name                             Estimate    SE      tStat    DF        pValue    Lower    Upper
    {'(Intercept)'          }        13.90       0.37    37.29    158.00    0.00      13.16    14.64
    {'Diet_rd'              }        -0.95       0.61    -1.56    158.00    0.12      -2.15     0.25
    {'Day_d14'              }        -2.31       0.47    -4.87    158.00    0.00      -3.25    -1.37
    {'Day_d21'              }        -2.55       0.53    -4.78    158.00    0.00      -3.60    -1.50
    {'Day_d28'              }        -2.73       0.66    -4.14    158.00    0.00      -4.04    -1.43
    {'Day_d7'               }        -1.12       0.44    -2.56    158.00    0.01      -1.99    -0.25
    {'Sex_m'                }         0.45       0.52     0.86    158.00    0.39      -0.58     1.48
    {'Diet_rd:Day_d14'      }         6.41       0.78     8.27    158.00    0.00       4.88     7.94
    {'Diet_rd:Day_d21'      }         7.11       0.91     7.85    158.00    0.00       5.32     8.90
    {'Diet_rd:Day_d28'      }         7.54       1.14     6.61    158.00    0.00       5.29     9.80
    {'Diet_rd:Day_d7'       }         3.82       0.72     5.34    158.00    0.00       2.41     5.23
    {'Diet_rd:Sex_m'        }         1.14       0.81     1.40    158.00    0.16      -0.46     2.74
    {'Day_d14:Sex_m'        }        -0.53       0.65    -0.82    158.00    0.41      -1.82     0.75
    {'Day_d21:Sex_m'        }         0.13       0.73     0.18    158.00    0.86      -1.31     1.57
    {'Day_d28:Sex_m'        }         0.51       0.89     0.57    158.00    0.57      -1.26     2.27
    {'Day_d7:Sex_m'         }        -0.93       0.60    -1.54    158.00    0.13      -2.12     0.26
    {'Diet_rd:Day_d14:Sex_m'}         2.18       1.03     2.12    158.00    0.04       0.15     4.20
    {'Diet_rd:Day_d21:Sex_m'}         2.41       1.18     2.04    158.00    0.04       0.08     4.74
    {'Diet_rd:Day_d28:Sex_m'}         3.58       1.46     2.44    158.00    0.02       0.68     6.47
    {'Diet_rd:Day_d7:Sex_m' }         1.47       0.95     1.56    158.00    0.12      -0.40     3.34
Random effects covariance parameters:
Group: Mouse (39 Levels)
    Name1                  Name2                  Type            Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std' }         1.15   
    {'Day_d14'    }        {'(Intercept)'}        {'corr'}        -0.47   
    {'Day_d21'    }        {'(Intercept)'}        {'corr'}        -0.34   
    {'Day_d28'    }        {'(Intercept)'}        {'corr'}        -0.35   
    {'Day_d7'     }        {'(Intercept)'}        {'corr'}        -0.13   
    {'Day_d14'    }        {'Day_d14'    }        {'std' }         1.45   
    {'Day_d21'    }        {'Day_d14'    }        {'corr'}         0.88   
    {'Day_d28'    }        {'Day_d14'    }        {'corr'}         0.79   
    {'Day_d7'     }        {'Day_d14'    }        {'corr'}         0.70   
    {'Day_d21'    }        {'Day_d21'    }        {'std' }         1.64   
    {'Day_d28'    }        {'Day_d21'    }        {'corr'}         0.98   
    {'Day_d7'     }        {'Day_d21'    }        {'corr'}         0.60   
    {'Day_d28'    }        {'Day_d28'    }        {'std' }         2.05   
    {'Day_d7'     }        {'Day_d28'    }        {'corr'}         0.51   
    {'Day_d7'     }        {'Day_d7'     }        {'std' }         1.33   
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.28