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

Summarizes the location *or* scale components of a heteroscedastic *t* model

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`object` |
either the location |

`x` |
an object of class " |

`dispersion` |
1 if summarizing the location model; 2 if summarizing the scale model (see Details) |

`correlation` |
logical; if |

`digits` |
the number of significant digits to be printed. |

`symbolic.cor` |
logical. If |

`signif.stars` |
logical. if |

`scale` |
logical. If |

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

The argument supplied to `dispersion`

must be either 1
(location model) or 2 (scale model). The reason for this is because
the fitting of the model has already
scaled the covariance matrix for the location coefficients. Hence the
scaled and unscaled versions of covariance matrix for the location
model are identical.

This function will not be generally called by the user as it
will only summarize the location or scale model but not both. Instead
the user should refer to `summary.tlm`

to print a summary of both models.

`tsum`

returns an object of class "`tsum`

", a list
with components

`call` |
the component from |

`df.residual` |
the component from |

`coefficients` |
the matrix of coefficients, standard errors, z-values and p-values |

`dispersion` |
the supplied dispersion argument |

`df` |
a 2-vector of the rank of the model and the number of residual degrees of freedom |

`cov.unscaled` |
the unscaled ( |

`cov.scaled` |
ditto, scaled by |

`correlation` |
(only if |

`symbolic.cor` |
(only if |

Julian Taylor

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hett documentation built on June 12, 2018, 5:19 p.m.

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