Description Usage Arguments Details Value Author(s) See Also Examples

Summarizes the heteroscedastic *t* regression object

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`object` |
heteroscedastic t regression object called from |

`x` |
an object of class " |

`correlation` |
should the calaculation of the parameter correlation matrix be
supressed. If the fit includes a location and a scale formula then both
correlation matrices are printed. The default is |

`...` |
arguments passed to or from other methods |

The table summary produced by this function should be used with
caution. A more appropriate test between nested models is to use the
score statistic function `tscore`

.

a list containing the following components:

`loc.summary` |
an object containing a list of objects that summarize the location model |

`scale.summary` |
an object containing a list of objects that summarize the scale model |

`iter` |
the number of iterations of the algorithm |

`dof` |
value of the fixed or estimated degrees of freedom |

`dofse` |
the standard error associated with the degrees of freedom if estimated |

`logLik` |
the maximised log-likelihood |

`method` |
the method used to maximize the likelihood |

`endTime` |
the time taken for the algorithm to converge |

Julian Taylor

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