Description Usage Arguments Value References See Also Examples

Compute the generalized leverages values for fitted models.

1 |

`model` |
a model object. |

`...` |
further arguments passed to methods. |

`gleverage`

is a new generic for computing generalized leverage values as suggested by
Wei, Hu, and Fung (1998). Currently, there is only a method for `betareg`

models, implementing
the formulas from Rocha and Simas (2011) which are consistent with the formulas from
Ferrari and Cribari-Neto (2004) for the fixed dispersion case.

Currently, the vector of generalized leverages requires computations and
storage of order *n x n*.

Ferrari, S.L.P., and Cribari-Neto, F. (2004).
Beta Regression for Modeling Rates and Proportions.
*Journal of Applied Statistics*, **31**(7), 799–815.

Rocha, A.V., and Simas, A.B. (2011).
Influence Diagnostics in a General Class of Beta Regression Models.
*Test*, **20**(1), 95–119.
doi: 10.1007/s11749-010-0189-z

Wei, B.-C., and Hu, Y.-Q., and Fung, W.-K. (1998).
Generalized Leverage and Its Applications.
*Scandinavian Journal of Statistics*, **25**, 25–37.

1 2 3 4 |

```
1 2 3 4 5 6 7 8 9 10 11
0.2167 0.2517 0.3254 0.4542 0.2239 0.3201 0.5271 0.2819 0.3011 0.5066 0.1970
12 13 14 15 16 17 18 19 20 21 22
0.2146 0.3054 0.4397 0.2909 0.3514 0.4049 0.2448 0.3570 0.4840 0.2154 0.1835
23 24 25 26 27 28 29 30 31 32
0.2899 0.4701 0.2910 0.2982 0.5449 0.3677 0.6603 0.3181 0.2557 0.4569
```

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