Description Usage Arguments Value

Calculate the log likelihood as the sum of the population likelihood and the prediction likelihood.

1 |

`par` |
the current estimate of the parameters |

`tdmore` |
the tdmore object |

`observed` |
data frame with at least a TIME column, and all observed data. The observed data will be compared to the model predictions. If not specified, we estimate the population prediction |

`regimen` |
data frame describing the treatment regimen. |

`covariates` |
the model covariates |

the log likelihood

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