Description Usage Arguments See Also

Fit joint mean-covariance models based on ACD.

1 2 |

`m` |
an integer vector of numbers of measurements for subject. |

`Y` |
a vector of responses for all subjects. |

`X` |
model matrix for the mean structure model. |

`Z` |
model matrix for the diagonal matrix. |

`W` |
model matrix for the lower triangular matrix. |

`start` |
starting values for the parameters in the model. |

`mean` |
when covonly is true, it is used as the given mean. |

`trace` |
the values of the objective function and the parameters are printed for all the trace'th iterations. |

`profile` |
whether parameters should be estimated sequentially using the idea of profile likelihood or not. |

`errormsg` |
whether or not the error message should be print. |

`covonly` |
estimate the covariance structure only, and use given mean. |

`optim_method` |
optimization method, choose "default" or "BFGS"(vmmin in R). |

`mcd_estimation`

for joint mean covariance model fitting
based on MCD, `hpc_estimation`

for joint mean covariance
model fitting based on HPC.

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